My favorite Frontend Masters courses to learn Vue.js in 2026 Hello guys, Vue.js has become one of the most approachable and powerful #JavaScript frameworks available. If you’re looking to master Vue in 2026, Frontend Masters has an exceptional curriculum taught by core Vue team members and industry veterans. Here are the five best courses to level up your Vue.js skills. 1. Vue 3 Fundamentals by Ben Hong Ben Hong, a core Vue team member, teaches you everything you need to know about Vue 3. This is where beginners should start and experienced developers refresh their knowledge. What You’ll Learn: * Vue fundamentals and why it’s so approachable * Components, directives, and lifecycle hooks * Vue Router for client-side routing * Pinia for modern state management * Deployment to production * Building real projects from start to finish Why It Rocks: Ben makes Vue feel intuitive. You won’t just learn syntax; you’ll understand Vue philosophy. By the end, you’ll confidently build and deploy a Vue application. Here is the link to join this #course — Vue 3 Fundamentals by Ben Hong 2. Intermediate Vue.js: Composition API, State Management, and More by Ben Hong Once you’ve grasped Vue fundamentals, this course takes you deeper. Ben teaches advanced patterns that make your code scalable, reusable, and maintainable. What You’ll Learn: * Composition API mastery * Building reusable composables * Advanced component design * Scoped slots and transparent components * File-based routing with Vue Router * Professional state management with Pinia * Performance optimization techniques Why It Rocks: This course bridges the gap between knowing Vue and building production-ready applications. You’ll learn patterns that senior developers use daily. Here is the link to join this course — Intermediate Vue.js 3. Advanced Vue.js Features from the Ground Up by Evan You This is a masterclass from Evan You, the creator of Vue.js himself. If you want to truly understand Vue’s internals, this is it. What You’ll Learn: * Vue’s reactivity system from the ground up * Render functions and virtual DOM * Building custom Vue plugins * Advanced patterns for elegant solutions * State management internals * Routing implementation details Why It Rocks: Learning from the person who created Vue gives you unique insight into why Vue works the way it does. You’ll become the developer who understands Vue at a deep level. Here is the link to join this course — Advanced Vue.js Features from the Ground Up by Evan You 4. TypeScript & Vue by Ben Hong TypeScript has become essential for professional Vue development. This course teaches you how to use TypeScript effectively with Vue. What You’ll Learn: * TypeScript fundamentals for Vue developers * Type-safe components * Composables with TypeScript * Reducing runtime errors * Better IDE support and autocomplete * Professional-grade Vue applications Why It Rocks: TypeScript eliminates entire categories of bugs and makes refactoring safer. If you want to write bulletproof Vue code, this is essential. Here is the link to join this course — TypeScript & Vue by Ben Hong 5. Build Web Apps with Nuxt 3 by Alex Liu Nuxt is the meta-framework for Vue. It handles routing, server-side rendering, static generation, and more — making Vue development faster and more powerful. What You’ll Learn: * Nuxt 3 fundamentals * File-based routing out of the box * Server-side rendering (SSR) * Static site generation * Auto-importing components and composables * Building full-stack applications * Deployment strategies Why It Rocks: Nuxt handles all the boilerplate so you can focus on building features. If you’re serious about Vue in 2026, learning Nuxt is essential for career growth. Here is the link to join this course — Build Web Apps with Nuxt 3 by Alex Liu The Learning Path Beginner: Start with Vue 3 Fundamentals (4–6 weeks) Intermediate: Move to Intermediate Vue.js (4–6 weeks) Advanced: Explore Advanced Vue.js Features or TypeScript & Vue depending on your goals (3–4 weeks each) Production-Ready: Finish with Nuxt 3 to build scalable applications (4–6 weeks) Why Frontend Masters for Vue? * Taught by Vue core team members — you’re learning from the people who build Vue * Production-focused — not toy projects, real applications * Crystal-clear videos — professional production quality * Comprehensive — from fundamentals to advanced patterns * Active maintenance — courses are updated for Vue 3 and latest best practices Get Started Today Vue.js is approachable but powerful. These Frontend Masters courses will take you from beginner to professional Vue developer. Join Frontend Masters today and get access to all these courses (plus 200+ others) for one subscription. Annual membership (~$390/year) is the best value if you’re serious about leveling up. Happy learning! Pricing

Hello guys, If you want to learn C++ and looking for some awesome courses and books then you have come to the right place. Earlier, I have shared the best C programming courses, as well as free C++ courses, and the best C++ books for advanced programmers and In this article, I am going to share some of the best courses to learn C++ from scratch. These are the truly great courses from Udemy, Coursera, Pluralsight, and Educative and you can join them to learn C++ online from your home. If you are new to the programming world or have been coding for some time then you know that C++ is one of the most popular and widely used programming languages. It was the first major object-oriented programming language that was used widely by the software development industry as well as in Academia. --- Java, Unix, Tibco RV and FIX Protocol Tutorial

#Google Is Bringing Back In-Person Interviews — Here’s How to Actually Be Ready How to prepare for Google Software Engineer, SDE, Senior Engineer interviews? Hello guys, for years, remote interviews became the default for tech roles like Software Engineers, Senior Software Engineers, Programmers and Developers. Whiteboards went digital. Tools like Miro replaced markers. And many engineers quietly leaned on AI helpers to get through online technical rounds. But that era might be ending. Last week, Google announced that it’s reinstating at least one in-person round for technical hires, bringing back the classic whiteboard format that once defined FAANG interviews. The reason? A growing concern around AI-assisted shortcuts. It’s not hard to imagine — LLMs can now solve many coding and design prompts instantly. That means recruiters are looking for something deeper: reasoning, communication, and confidence under pressure. This shift marks a return to real-time thinking — the kind of mental muscle that only consistent practice can build. Why This Change Matters? The return of in-person interviews highlights three major shifts in what companies now value: 1. Back to fundamentals. No tool can replace your ability to reason from first principles. You’ll need to think through data models, APIs, trade-offs, and scalability without autocomplete or a “generate solution” button. 2. Stronger communication. Explaining your design choices clearly and logically now matters as much as the design itself. You’ll be expected to defend your architecture, discuss alternatives, and justify trade-offs — all while thinking aloud. 3. Real confidence under pressure. When you’re at the whiteboard, you don’t get a second tab for ChatGPT or Copilot. You need calm, practiced confidence — and that comes only from consistent, structured rehearsal. How to Prepare for This New Reality? As in-person technical interviews make a comeback, your preparation strategy needs to evolve beyond just solving problems online. The new reality demands depth, communication clarity, and real-world practice — not just memorization or tool-assisted answers. To truly be ready, you need a mix of concept mastery, structured practice, and realistic mock interview exposure. That’s where platforms like Bugfree.ai, ByteByteGo, Codemia, and Exponent come in — each addressing a crucial part of your system design and interview readiness journey. Bugfree.ai is one of the most practical tools for hands-on learning. With 150+ real-world system design challenges — from URL shorteners to distributed tracing — it lets you walk through interactive, step-by-step design flows that cover everything from requirements and APIs to trade-offs and scalability. Master System Design & Behavioral Interviews Like Leetcode You get instant AI-driven feedback and FAANG-level walkthroughs, helping you close knowledge gaps fast and build real design confidence. Meanwhile, ByteByteGo (50% OFF on lifetime plans) helps you rebuild your system design fundamentals visually. System Design · Coding · Behavioral · Machine Learning Interviews Its animations, architecture diagrams, and deep-dive explanations make even complex distributed systems easy to grasp — a must-have when you’re expected to explain designs confidently on a whiteboard. Codemia.io (60% OFF) complements that by simulating real-time design interviews. It trains you to think aloud, structure your solutions, and reason through trade-offs — precisely the skills hiring managers look for in face-to-face interviews. Codemia | Master System Design Interviews Through Active Practice Finally, Exponent (70% OFF) bridges the gap between preparation and performance. You can schedule mock interviews with real FAANG engineers, get personalized feedback, and build the poise and communication habits that make the difference between a good answer and a great impression. Membership and Pricing - Exponent In short, Bugfree.ai gives you the repetition, ByteByteGo strengthens your conceptual foundation, Codemia.io hones your communication and reasoning, and Exponent prepares you for the real stage. Together, they form a complete ecosystem for thriving in this new hybrid interview era — where what matters most isn’t just knowing the answer, but being able to explain, justify, and design it confidently under pressure. If you want to be ready before walking into your first in-person interview, check it out here — ByteByteGo (50% OFF on lifetime plans) System Design · Coding · Behavioral · Machine Learning Interviews The Bottom Line This isn’t just about Google. When one tech giant changes its process, others often follow. We may soon see a full return of in-person interviews at major companies — with a renewed focus on raw problem-solving and clarity of thought. If you’ve been relying on shortcuts, now’s the time to rebuild your fundamentals and practice under realistic conditions. Start by: * Learning deeply with ByteByteGo * Practicing actively with Codemia.io * Testing yourself with Bugfree.ai * Polishing delivery with Exponent That’s the formula to walk into any room — digital or physical — and show you can design systems, reason clearly, and think like an engineer again. All the best for your Google System Design interview in 2026!! Other System Design and Coding Interview and Resources you may like * ByteByteGo vs Udemy? Which is better for System Design inteviews? * 16 Best Resources for System Design Interview Prep * Is ByteByteGo a good place for Coding interviews? * 3 Free Books and Courses for System Design Interviews * ByteBytego vs Exponent? which one is better? * ByteByteGo 50% OFF? Should you Join? * 6 Best System Design and API Design Interactive Courses * Top 5 System Design YouTube Channels for Engineers * How to prepare for DSA for coding interviews? * Is DesignGuru’s System Design Course worth it * Why AlgoMonster is best platform for DSA Prepration in 2026 * Is ByteByteGo a good place to learn Software Architecture? * Should you join ByteByteGo to learn System Design? * Is System Design Interview RoadMap by DesignGurus worth it? * Is Exponent’s System Design Course worth it? * Is OOP Design Interview — An Insider Guide worth it? * Is Exponent Good Place for Coding Interview Prep? * ByteByteGo vs Udemy? Which one is better for System Design? * ByteByteGo vs NeetCode vs Educative? which one is better? * DesignGurus.io Review 2025 — Is it worth it? * 3 Places to Practice System Design Mock interviews * Is Designing Data-intensive application book worth reading? All the best for your Google and FAANG job hunt journey, if you have any doubts or questions, feel free to ask in the comments. P. S. — If you just want to do one thing at this moment, join ByteByteGo and start learning software architecture fundamentals and you will thank me later. It’s one of the most comprehensive resource for coding interview now. System Design · Coding · Behavioral · Machine Learning Interviews --- Google Is Bringing Back In-Person Interviews — Here’s How to Actually Be Ready was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hello guys, If you are developing a Java application for Cloud, then you should learn Spring Cloud, a great framework and extension of the popular Spring framework, which can help you to develop a cloud-native Java application. Spring Cloud provides several necessary services required for a cloud-based Java application and Microservices like configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, a control bus, one-time tokens, global locks, leadership election, distributed sessions, cluster state, etc. --- Java Interview questions and tutorials

I Tried 30+ #Coding Interview Resources — Here Are My Top 7 Recommendations for 2025 My favorite Coding Interview Resources for 2025 Hello guys, after spending the last few years preparing for technical interviews — from FAANG-level system design rounds to startup-style coding challenges. I’ve tried more than 30 different platforms, books, and mock interview resources. Most of them promise to “get you interview ready,” but only a few truly deliver. In this post, I’ll share the 7 best coding interview resources I personally recommend in 2025 — based on real experience. These platforms stand out for their structure, depth, and practical value, not just hype. I’ll also mention some ongoing discount offers you shouldn’t miss if you plan to join now. How I Chose These Resources? I didn’t pick these platforms randomly. Over the past few years, I’ve spent hundreds of hours studying data structures, algorithms, and system design while preparing for interviews at major tech companies. During that time, I tested nearly every well-known resource — from YouTube playlists to premium courses. Here’s what I looked for when narrowing it down to my top seven: * Practical learning experience — I preferred courses that taught through examples, visuals, or hands-on problems rather than just theory. * Structured curriculum — Resources that built concepts progressively instead of dumping random problems ranked higher for me. * Coverage of all interview areas — A complete prep should include coding, system design, and behavioral components. * Instructor expertise — I gave more weight to courses created by experienced engineers or ex-interviewers from top tech companies. * Value for money — Since most of these platforms offer paid plans, I considered the depth of content, community access, and discount offers. Every resource in this list has personally helped me either improve my problem-solving speed, understand design patterns more deeply, or gain confidence during mock interviews. My Top 7 Coding Interview Resources for 2025 Without any further ado, here are my top 5 recommendations for learning Coding interview precreation in 2025 and beyond. These courses and resources are not just to learn general Coding interview patterns and System Design concepts but also solve company specific questions and practice online. 1. ByteByteGo — Best for System Design | My Premium Pick ByteByteGo by Alex Xu and Sahn Lam is my #1 choice for system design and coding interview prep, especially after their recent site upgrade where they have added content of 7 of their books into platform. It’s incredibly structured, visual, and beginner-friendly. Their animated illustrations and deep explanations make even complex distributed systems easy to understand. They’ve also recently added sections on Coding Interview Patterns, OOP Design, Generative AI System Design and Machine Learning System Design course based on their popular books like Machine Learning System Design Interview. Special Offer: ByteByteGo is currently offering a 50% discount on their lifetime plan, which gives you unlimited access forever — this is the best value deal they’ve ever had. Here is the link to explore — Join ByteBytego with 50% discount 2. AlgoMonster — Best for Data Structures & Algorithms If you’re tired of grinding LeetCode blindly, AlgoMonster is a breath of fresh air. It organizes problems by patterns (e.g., sliding window, backtracking, dynamic #programming) and teaches you the reasoning behind each solution. The platform also offers interactive explanations and visualizations that make learning fun and memorable. They also have a list of 50 popular coding interview questions known as Monster 50 which I highly recommend every developer to go through. On top of that they have very structured way to solve problems like first they will ask you to identify pattern and then template and then you can code solution and finally estimate time and space complexity. This is by far the best platform and structure I have found online when it comes to practice coding problems. Their solution is also very detailed and even if you know the solution you can go through them to learn more about coding patterns, data structures and algorithms. Special Offer: Get 50% off the lifetime plan — perfect if you want long-term access without subscription fatigue. Here is the link — Join AlgoMonster with 50% discount 3. Educative — Best for Complete Coding Interview Path Educative’s “Grokking” series has become legendary. Courses like Grokking the Coding Interview, Grokking the Modern System Design Interview, and Grokking the Low Level Design Interview Using OOD Principles have helped thousands of developers crack big tech interviews. It’s also text-based, meaning you can read and code interactively — no video fluff. They are also AI powered and probably the best coding interview platform when it comes to using AI for improving learning experience. They also have AI based mock interview which you can use to further improve your knowledge. Coming with deep FAANG expertise, their courses are really good for anyone who is aiming for Software Engineer or Senior Software Engineer roles in FAANG companies. Special Offer: Educative is currently offering 55% off their annual plan, which unlocks all 500+ courses. Here is the link to learn more — Join Educative.io with 55% discount 4. DesignGurus.io — Best for System Design Interview Practice If you like Educative’s Grokking series, you’ll love DesignGurus.io — it’s created by the same instructors who initially created popular grokking courses for Educative. Now, it’s the home for classic courses like Grokking the System Design Interview and Grokking Dynamic Programming Patterns for Coding Interviews. They also include mock interviews, real-world case studies, and architecture reviews — things most courses skip. DesignGurus.io also have many other Grokking courses to preapre for essential coding interview topics like OOP Design, System Design, Dynamic Programming etc and you can get access to all of their courses for a big discount by joining their All course bundle. You can also use code GURU to get 30% discount. 5. Udemy — Best for Affordable, One-Time Purchase Courses Udemy remains a goldmine for coding and interview prep if you know where to look. You’ll find high-rated courses like: * Master the Coding Interview: Data Structures + Algorithms by Andrei Neagoie * System Design Masterclass (2025) * Java Data Structures & Algorithms + LEETCODE Exercises The best part? Udemy courses often go on sale for $9.99–$14.99, making it one of the most affordable platforms on this list. By the way, Udemy also have many great System Design courses which are worth checking out, like the one from Frank Kane, ex Amazon Hiring Manager and Sandeep’s System Design course. And, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you. 6. Zero to Mastery Academy (ZTM) — Best for Full Career Growth ZTM is great for developers who want to go beyond interviews and build long-term career skills. Created by famous Udemy instructor Andrei Negaoie this is a bootcamp style platform which also host some of the very best coding interview courses. Their Complete Coding Interview Bootcamp and Master the Coding Interview: Big Tech (FAANG) Interviews courses are practical, project-based, and community-driven. You also get access to their private Discord group, which is full of supportive learners and mentors. Btw, you would need a ZTM membership to watch this course which costs around $299 per year or $1299 for lifetime access, but also provides access to many super engaging and useful courses like this one. You can also use coupon code FRIENDS10 to get a 10% discount on this course or any subscription you choose. Here is the link to join — explore ZTM Academy 7. LeetCode — Best for Practice Problems LeetCode is the OG of coding interview prep. Even though other platforms help you learn patterns, nothing replaces actual problem-solving practice. They have 3000+ coding problems covering every aspect of coding interview patterns, while I don’t expect you to solve all those questions, its a great place to practice and build confidence. There are also huge sub-reddits and other Leetcode communities where you can ask for help or pair up with other folks who are preparing for coding interviews. I recommend using LeetCode alongside platforms like AlgoMonster or ByteByteGo to reinforce what you learn. 👉 Practice on LeetCode Bonus: Exponent — Best for Mock Interviews and Behavioral Rounds Exponent is perfect if you want to simulate real FAANG-style interviews. O have been using Exponent for last 2 to 3 years and really love their free peer to peer Mock interviews. It’s a great way to practice coding interview problems, system design questions and in general overcome interview fear. Everyone gets 5 free mock interview sessions which is also replenish over time based upon feedback. In mock interview session you play the role of both interviewer and candidate and both provide huge learning experience. I have learn many tricks by seeing people solve the coding problems I struggle and similarly I found great folks who helped me along the way. They also offer real mock interview from FAANG engineers which is great if you got a FAANG call and preparing for it. In fact, if you are going for Google, Meta or Amazon interview, I highly recommend you go through one of their real mock interviews, its the best investment you can make for your FAANG dream job. Special Offer: They’re currently running a 70% discount on their annual plan — a fantastic deal if you want personalized interview feedback. Here is the link to learn more — Join Exponent with 70% Discount In short, one of the best place for coding mock interviews. Why ByteByteGo Stands Out? While all these courses are excellent, ByteByteGo earns my premium pick for three reasons: * Visual-First Learning — They have the best visual diagrams on all the topics on System Design which make even the most complex systems easy to understand. * Constant Updates — The platform keeps pace with modern architectures, from microservices to AI integrations. They have now uploaded all the content from their 7 best-selling books on Object Oriented Design, Machine Learning System Design, Gen AI System Design and even Coding patterns and behavioral interviews. * Practical Depth — You’re not just learning theory — you’re exploring real-world production systems. Most of their contents are written by FAANG engineers which have experience at both side of the table. If budget allows, I suggest starting with ByteByteGo for mastery and pairing it with the likes of AlgoMonster and Exponent to get the practice and AI mock interview for best preparation of FAANG interviews in 2025. They are now also offering 50% discount on their lifetime plan, which means they are now even more valuable and once you buy their lifetime plan which is just the cost of a couple of years, you won’t need any resources. Every time you need to prepare for interview or just want to stay up to date you can use the platform. Here is the link to join — Get 50% discount And, if you don’t know, they also provide ByteByteGo 101, a collection of 101 coding questions divided on key coding interview patterns like two pointers, fast and slow pointers etc. I am practicing their now almost everyday. Final Thoughts After trying more than 30 platforms, I’ve realized that no single resource can prepare you for every part of the interview. The best approach is a blend: * Use ByteByteGo for system design, OOP Design, and ML System Design. * Use AlgoMonster or Educative for DSA mastery. * Use DesignGurus for advanced case studies. * Practice on LeetCode, and get feedback through Exponent. If you’re starting out in 2025, take advantage of the massive discount wave — most platforms rarely offer such deep lifetime or annual plan discounts. Investing in your interview prep today could easily pay off in your next tech job. Other Programming and Interview Articles you may like * ByteByteGo vs LeetCode? which one is better for tech interview? * ByteByteGo Lifetime Plan Review: Is It the Best Investment for Developers in 2025? * 25 Software Design Interview Questions for Programmers * How Algomonster helped me to master DSA for interviews? * Exponent 70% OFF — Is It Worth It for FAANG Interview Prep? * LeetCode vs. AlgoMonster? Which One Should You Use for Coding Interviews? * Why System Design Is the Hardest Part of FAANG Interviews? * How to Prepare for Coding Interviews? * Algomonster Review 2025 — Is it worth it? * Codemia.io 65% OFF Lifetime Plan — Is It Worth It for FAANG Interview? * Is DesignGuru’s System Design Course worth it * 3 Free Books and Courses for System Design Interviews * Is System Design Interview RoadMap by DesignGuru worth it? * Is Exponent’s System Design Course worth it? * ByteByteGo vs NeetCode vs Educative? which one is better? * Codemia.io Annual vs. Lifetime Plan? * Is ByteByteGo a good place for Coding interviews? * AlgoMonster vs Exponent vs DesignGurus? * LeetCode vs AlgoMonster? Which is better for Coding Interview? * 10 Best Places to Learn System Design in 2025 * My Favorite Software Design Courses for 2025 * ByteByteGo 50% OFF? Should you Join? * 10 Reasons to Learn System Design in 2025 Thanks for reading this article so far. If you like this article then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.P. S. — If you just want to do one thing at this moment, go join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. The FAANG dream job you always wanted is not far anymore. System Design · Coding · Behavioral · Machine Learning Interviews --- I Tried 30+ Coding Interview Resources — Here Are My Top 7 Recommendations for 2025 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hello guys, as a programmer, we always need to learn new skills like Generative AI, frameworks, technologies, and libraries, and we often end up buying so many courses for that; I know people who have more than 300 courses on Udemy and other online courses platforms, but Coursera now has a better way, Coursera Plus. This is a subscription plan for Coursera courses and specializations, which will provide you access to their 10000+ courses, guided projects, specialization, and professional certificates with just one subscription.  --- Java, Unix, Tibco RV and FIX Protocol Tutorial

My favorite Cyber #Security courses and #certification for 2026 credit — StationX Hello guys, #Cybersecurity has become one of the most critical skills to learn in today’s tech world. Every company, from small startups to Fortune 500 enterprises, faces increasing threats from hackers, data breaches, and phishing attacks. As a result, the demand for cybersecurity professionals has skyrocketed — and so have the number of online courses claiming to help you break into this field. Over the last few years, I’ve personally tried, audited, or completed more than 30 cybersecurity courses across platforms like Coursera, Udemy, Educative, StationX, and Zero To Mastery. Some were fantastic and practical, while others were outdated or too shallow for real-world use. After all this exploration, I’ve narrowed it down to the five best cybersecurity courses to learn in 2026 — whether you’re an absolute beginner or looking to transition into a cybersecurity role. Let’s get started. How I Chose These Courses? Before I jump into the list, here’s what I looked for while evaluating these cybersecurity courses: * Hands-on learning — Does the #course include real-world labs, exercises, or projects where you can apply what you learn? * Industry relevance — Is the course aligned with current cybersecurity frameworks, threats, and tools used by professionals today? * Instructor expertise — Is it taught by professionals or organizations with real-world cybersecurity experience? * Recognition and career impact — Does it offer a certificate or credential that’s valued by employers? * Up-to-date content — Cybersecurity changes fast, so the course must reflect 2025–2026 practices and threats. With those criteria in mind, here are my top picks. My Top 5 Cyber Security Certification Courses for 2026 Without any further ado, here are my top 5 recommendations for learning System Design for technical interviews. These courses and resources are not just to learn general System Design concepts but also solve company specific questions and practice online. 1. Google’s Cyber Security Professional Certificate (premium pick) If you want to learn Cybersecurity in 2026 and are looking for a well-structured and industry-recognized certification, there’s no better starting point than Google’s Cybersecurity Professional Certificate on Coursera. Created by Google in collaboration with top security professionals, this program equips you with essential skills in network security, system protection, incident response, and encryption. It’s beginner-friendly, hands-on, and perfectly designed for those who want to transition into cybersecurity roles. You’ll work on real-world labs and projects that simulate attacks and defense scenarios, ensuring that you not only understand the theory but can also apply it in practice. More than 323K people have already enrolled in this program — and for good reason. Here’s the link to join this certification — Google Cybersecurity Professional Certificate Upon completion, you’ll earn a respected credential from Google and gain the skills to apply for entry-level roles like Cybersecurity Analyst or Security Operations Specialist. By the way, If you are planning to join multiple specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/ per year but is worth it because you get access to more than 7000+ courses and projects, and you can also get access to unlimited professional certificates and courses. Coursera Plus | Unlimited Access to 10,000+ Online Courses 2. The Complete Cyber Security Course (Udemy) If Coursera’s structured certificate path isn’t what you want and you prefer independent, practical learning, this course by Nathan House on Udemy is a gem. Nathan is a seasoned cybersecurity expert with over 25 years of experience, and his teaching style is both practical and engaging. This course dives deep into Internet security, encryption, and privacy protection — not just theory, but how things work behind the scenes. It’s part one of a four-part master series that covers everything from anonymity and security fundamentals to penetration testing and network defense. Here is the link to join this course — The Complete Cyber Security Course With 140K+ students and a 4.5-star rating, this course remains one of the highest-rated and most complete cybersecurity training programs on Udemy. 3. Complete Cybersecurity Bootcamp: Zero to Mastery If you prefer a bootcamp-style approach with modern tools, frameworks, and guided mentorship, this course from Zero To Mastery is an excellent option. Taught by Aleksa Tamburkovski, this 11-hour intensive course walks you through everything a Cybersecurity Engineer needs to know — from threat modeling and network security to real penetration testing tools and modern defense systems. Here is the link to join this course — Complete Cybersecurity Bootcamp: Zero to Mastery To access this course, you’ll need a ZTM membership, which also gives you access to 50+ other in-demand tech courses. You can use coupon code FRIENDS10 for a 10% discount. Learn In-Demand Skills. Get Hired. Advance Your Career. | Zero To Mastery This is one of my favorite picks for developers who want to transition into cybersecurity engineering and prefer a structured, modern learning experience. 4. Microsoft Cybersecurity Analyst Professional Certificate (Coursera) If Google’s course doesn’t quite fit your style, Microsoft offers a strong alternative with its Cybersecurity Analyst Professional Certificate on Coursera. This program can be completed in around six months (at 10 hours per week) and is designed to take learners from beginner to job-ready analyst. You’ll also learn essential cybersecurity concepts including cloud security, network security, penetration testing, and threat mitigation. Here’s the link to join — Microsoft Cybersecurity Analyst Professional Certificate The course also prepares you for the Microsoft SC-900 Certification and provides a 50% discount voucher to take the exam. Upon completion, you’ll gain access to Microsoft’s exclusive career resources — making it one of the most job-oriented cybersecurity programs in 2026. 5. Cyber Security Fundamentals (Educative) If you prefer text-based learning and interactive coding exercises, this Educative.io path is an excellent option. It takes a hands-on, practical approach to cybersecurity fundamentals. You’ll learn about cryptography, patch management, phishing, HTTP header security, and modern authentication systems like OAuth2 and JWT. It’s an ideal course for developers who want to strengthen their security knowledge and apply it directly in their applications. Here’s the link to join — Cyber Security Fundamentals on Educative.io By the end of this path, you’ll be able to identify, prevent, and respond to common cybersecurity threats — all while writing more secure code. By the way, you would need an Educative subscription to join this course, which cost around $14.99 (50% discount now) but also provide access to more than 1200+ courses, projects, and cloud labs to learn in-demand tech skills including web development. Educative Unlimited: Excel with AI-Powered Learning They are also offering 55% discount now for a limited time, which is a great chance to join Educative and level up your tech skills including Cyber security in 2026. Why Google’s Cybersecurity Course Stands Out Unlike many generic programs, Google’s certificate includes detailed walkthroughs of real security systems, guided labs, and modern threat detection practices. It also comes with career resources, mock interviews, and resume support — making it one of the most complete learning paths for cybersecurity beginners in 2026. Final Thoughts Learning cybersecurity in 2026 is one of the smartest investments you can make in your career. The industry continues to grow rapidly, with over 3.5 million unfilled cybersecurity jobs worldwide, and companies are actively hiring professionals with proven, hands-on skills. If you’re starting from scratch, Google’s Cybersecurity Professional Certificate is my top recommendation — it’s practical, affordable, and globally recognized. For developers and self-learners, Nathan House’s Complete Cyber Security Course and Educative’s Cyber Security Fundamentals are excellent choices. No matter where you start, these five courses will give you the foundation, confidence, and credibility to begin or advance your journey in cybersecurity. Other Technical Security Articles you may like * 5 Best Courses to pass CompTIA Security+ Exam in 2025 * 15 best Docker and Kubernetes Courses for Developers * My Favorite AWS and Cloud Computing Courses for Beginners * Is Google CyberSecurity Certification worth it? * Google vs Microsoft CyberSecurity Professional Certificate? * 7 Linux Courses for DevOps and Security Engineers * 10 Free Penetration Testing Courses for Beginners * 6 Best Ethical Hacking Courses for Beginners Thanks for reading this article so far. If you like these Cyber Security courses then please share them with your friends and colleagues. If you have any questions or feedback then please drop a note. P. S. — If you want to learn Cyber Security and Information Security but looking for free online courses to start with then you can also check out this free Cyber Security course: Cyber Security Course for Beginners — Level 01 on Udemy to start with. 5 Best Free Cyber Security Courses for Beginners to Learn in 2025 --- I Tried 30+ Cyber Security Courses: Here Are My Top 5 Recommendations for 2026 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hello guys, we are already in the second week of New year, and everyone is talking about their goals to improve them as a better person, a better programmer, or better health. If you have also made your goal, and one of them is to improve your SQL skill, you have come to the right place because I will share some of the free online courses to learn and master SQL this year. The list includes a free course from Udemy, a popular online portal to learn Oracle, PostgreSQL, and Microsoft SQL Server. Yes, I have tried hard to include free courses on different databases to choose the course you want.  --- Java, Unix, Tibco RV and FIX Protocol Tutorial

My favorite Frontend Masters Courses for #Java Developers Hello guys, If you’re thinking about learning Java and Spring Boot in 2026, you might be surprised to discover that Frontend Masters — a platform known for JavaScript and frontend development — actually has some of the best Java and Spring Boot courses available today. I know, I know. When I first discovered their Java courses, I was shocked too. But here’s the reality: Frontend Masters has invested heavily in #backend development, and their Java curriculum is genuinely world-class. The instructors are industry veterans and Java Champions, the production quality is pristine, and the courses are designed for professionals who want to build production-ready applications, not just toy projects. So, what are we waiting for, let me walk you through the top 5 courses that will transform you into a Java and Spring Boot developer in 2026. Though, if you cannot wait, go ahead and start with the Java Fundamentals: OOP & Functional Programming by Angie Jones, one of the Java champion and my favorite instructors for learning Java from scratch. Java Fundamentals | OOP & Functional Programming in Java | #Course by Angie Jones Why Learn Java and Spring Boot in 2026? Before we dive into the courses, let’s address why Java and Spring Boot still matter. Java powers mission-critical applications at every major tech company on the planet. From Netflix to Google, from Uber to your bank, Java is running the infrastructure that keeps the internet functioning. Spring Boot has made Java development faster and more enjoyable than it’s ever been — it’s the framework that enterprise teams use to build scalable, reliable systems quickly. The job market for Java developers remains consistently strong. Salaries are competitive, job security is excellent, and there’s zero shortage of work. Whether you’re transitioning into backend development or leveling up your skills, Java and Spring Boot are investments that pay off for years. Now that we know why Java and Spring Boot are important and worth learning in 2026, let’s see the courses which can make you a better Java developer. 5 Best Frontend Masters Courses for Java Developers Without any further ado, here are the top frontend masters courses for Java developers, these includes courses to learn Java Programming, Spring Boot, one of the best and most popular Java Framework as well as courses on SQL and API Design. 1. Enterprise Java with Spring Boot by Josh Long This course is taught by Josh Long, a Java Champion and Spring Developer Advocate who works on the Spring team. Josh teaches Spring best practices including RAII, dependency injection, portable service abstractions, and aspect-oriented programming. The course covers Spring framework fundamentals like component scanning and life cycles, then transitions to Spring Boot, which provides the same expressive configuration as Spring but with useful defaults that eliminate unnecessary boilerplate. What You’ll Learn: * Rapid prototyping with start.spring.io * Spring framework fundamentals and best practices * Spring Boot and its autoconfigurations * Building production-ready REST APIs * Spring Data for database persistence * Spring AI and AI-powered features (cutting edge!) * Microservices patterns with Spring * Docker containerization Why It Works: Josh doesn’t just teach you how to use Spring Boot — he teaches you why Spring Boot exists and when to use its features. The course has a masterclass feeling to it. Reviewers consistently say “Josh is the teacher I always wanted to learn Spring from.” The inclusion of Spring AI integration also makes this future-proof for 2026 and beyond. Best For: Developers who want a comprehensive Spring Boot course from someone who literally helps build the framework at Spring HQ. Here is the link to join the course: Enterprise Java with Spring Boot 2. Java Fundamentals: OOP & Functional Programming by Angie Jones Angie Jones is another popular Java champion and teaches Java fundamentals with a focus on practical explanations. Students praise her explanations of inheritance, encapsulation, method overloading/overriding, sealed classes, polymorphism, and abstraction as particularly clear and practical. What You’ll Learn: * Java syntax and language fundamentals * Object-Oriented Programming (OOP) principles * Classes, objects, and constructors * Inheritance and polymorphism * Encapsulation and abstraction * Functional programming in Java * String manipulation and working with collections * Error handling and exceptions * Loops and control flow Why It Works: If you’re coming to Java with zero background or just need a refresher, this is where you start. Angie has an incredible teaching style — she’s clear, enthusiastic, and genuinely fun to learn from. She bridges the gap between theory and practical application. By the end, you won’t just know Java syntax; you’ll understand Java philosophy. Best For: Absolute beginners, people transitioning from other languages, or anyone who wants to solidify their Java fundamentals before tackling advanced topics. Take the course: Java Fundamentals: OOP & Functional Programming 3. Complete Intro to Web Development, v3 by Brian Holt Yes, this is technically a web development course, but here’s why it’s essential for Java developers: you need to understand how the full stack works. What You’ll Learn: * HTML, CSS, and JavaScript fundamentals * How browsers and servers communicate * HTTP requests and responses * Building responsive web pages * Frontend basics that backend engineers need to understand Why It Works: When you’re building REST APIs with Spring Boot, you need to understand what the frontend developers consuming those APIs are dealing with. This course gives you that perspective. You’ll write APIs that developers actually love to use because you understand their constraints and needs. Plus, it makes you a more well-rounded engineer. Best For: Backend developers who want to understand the frontend perspective, full stack developers, and anyone building APIs that need to work with modern web applications. Take the course: Complete Intro to Web Development, v3 4. API Design in Node.js, v4 by Scott Moss Wait — this is Node.js, not Java. But stay with me. This course teaches API design principles that transcend programming language. What You’ll Learn: * RESTful API design principles * Error handling and validation strategies * Authentication (JWT, OAuth) * API versioning and backward compatibility * Rate limiting and throttling * Logging and monitoring * Security best practices * Testing APIs properly Why It Works: You can build a Spring Boot API, but if it’s poorly designed, developers will hate using it. This course teaches you how to design APIs that are intuitive, secure, and maintainable. The principles taught here apply whether you’re using Java, Node.js, Go, or Python. It’s about thinking architecturally. Best For: Developers building REST APIs with Spring Boot who want to learn professional API design patterns and best practices. Take the course: API Design in Node.js, v4 5. Complete Intro to SQL & PostgreSQL by Brian Holt Spring Boot applications talk to databases. Understanding SQL deeply makes you dangerous (in the good way). What You’ll Learn: * SQL fundamentals and query writing * Database design and normalization * Relationships and joins * Indexing and query optimization * Transaction management * PostgreSQL-specific features * How ORMs like Hibernate work under the hood Why It Works: Many Spring Boot developers rely entirely on Spring Data JPA and never write raw SQL. Big mistake. Understanding SQL deeply helps you write better queries, optimize performance, and debug issues when your ORM isn’t doing what you expect. This course demystifies databases and makes you fluent in SQL. Best For: Spring Boot developers who want to master database design and SQL, anyone building data-intensive applications, and developers who want to understand what Hibernate is actually doing. Take the course: Complete Intro to SQL & PostgreSQL Why Frontend Masters for Java and Spring Boot? You might be wondering: why Frontend Masters instead of Coursera, Udemy, or other platforms? Video Quality: Frontend Masters has the best production quality I’ve seen. The videos are crystal clear, the pacing is perfect, and you won’t have distracting background noise or poor lighting. Instructor Caliber: These aren’t random instructors — they’re the people who work on these technologies professionally. Josh Long works on the Spring team. Angie Jones is a Java Champion. Brian Holt worked at Netflix. You’re learning from the best. Depth Over Breadth: Each course goes deep. You’re not getting superficial overviews; you’re getting the kind of understanding that comes from years of real-world experience. Structured Learning: Unlike some platforms with thousands of low-quality courses, Frontend Masters carefully curates its catalog. Quality over quantity. Updated for 2026: These courses are actively maintained and updated to reflect modern practices and emerging technologies. If you are keen to level up your frontend skills then joining frontend master can be a great first step as they have awesome courses to learn valuable frontend skills, you can join Frontend Masters now and even get a 17% discount on their annual plan. Pricing Getting Started with Frontend Masters To access all these courses, you’ll need a Frontend Masters subscription. Here’s what you get: Frontend Masters Membership: * Access to 200+ high-quality courses * Offline downloads for on-the-go learning * Learning paths for different roles * Mobile app for learning anywhere * Around $390/year or $39/month Special Offer: Join Frontend Masters to get started. They often have discounts and promotions, especially during major sales periods. Pro Tip: If you’re serious about learning, grab the annual subscription. It’s the best value, and having unlimited access encourages you to explore courses beyond just Java and Spring Boot. Pricing My Recommended Learning Path Here’s how I’d approach these courses if you’re starting from zero: Week 1–4: Start with Java Fundamentals to build a solid foundation. Don’t rush this. Week 5–8: Take Complete Intro to Web Development to understand the full stack context. Week 9–14: Dive into Enterprise Java with Spring Boot. This is the main course where everything comes together. Week 15–18: Take Complete Intro to SQL & PostgreSQL to deepen your database knowledge. Week 19–22: Study API Design in Node.js to architect better Spring Boot APIs. This progression takes you from fundamentals to professional-grade enterprise development in about 5–6 months of consistent study. Enterprise Java | Learn Spring Boot with Spring Core Team Member Josh Long The Reality Check Frontend Masters courses will teach you this complexity in a way that actually makes sense. You won’t feel overwhelmed or confused; you’ll feel empowered. By the end of these courses, you won’t just know Java and Spring Boot — you’ll understand systems thinking, architecture, database design, and API development at a professional level. Final Thoughts Java and Spring Boot have been around for years, and they’ll be around for years to come. In 2026, learning these technologies is a smart career investment. Combine that with Frontend Masters’ exceptional courses, and you’re setting yourself up for success. Start your Java and Spring Boot journey on Frontend Masters today. Your future self will thank you. Happy learning! Other Frontend Masters Resources you may like to read * My Favorite Frontend Masters Courses for Frontend Web Developers * Is the Java Fundamentals Course by Angie Jones on Frontend Masters Worth It? * Is Frontend Masters a Good Place to Learn JavaScript, React, and Vue.js? * Frontend Masters Knowledge Quest Sale (50% Discount) * Top 5 Project-Based Frontend Masters Courses to Learn JavaScript * Review: Is Introduction to Node.js Course on Frontend Masters Worth It? * Review: Is TypeScript 5 Fundamentals Course on Frontend Masters Worth It? * Is the JavaScript Hard Parts Course on Frontend Masters Worth It? (Review) * Is Frontend Masters The Last Algorithms Course You’ll Need Course Worth It? (Review) * Review: Is Frontend Masters Complete Intro to React Course Worth It? * Is “Java Fundamentals” Course by Angie Jones on Frontend Masters Worth It * 10 Reasons to Join Frontend Masters to Learn Web Development * Is Frontend Masters Good Place to learn Web Development? * Is Frontend Masters Really Worth It for Learning Web Development? * Top 5 Frontend Masters Courses You Can Take in 2025 * Review — Is Front-End System Design Course by Evgenii Ray on Frontend Masters Worth it? Thank you for reading this article till the end. If you like these Frontend masters courses then please share with your friends and colleagues. If you have any questions or doubts then feel free to ask. P. S. — If you are keen to level up your frontend skills then joining frontend master can be a great first step as they have awesome courses to learn valuable frontend skills, you can join Frontend Masters now and even get a 17% discount on their annual plan. Enterprise Java | Learn Spring Boot with Spring Core Team Member Josh Long --- Top 5 Frontend Masters Courses to Learn Java and Spring Boot in 2026 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

The ContextLoaderListner is one of the essential components of the Spring MVC framework, probably the most important after the DispatcherServlet itself. It is used to create the root context and responsible for loading beans, which are shared by multiple DispatcherServlet like beans related to the service layer and data access layer. In general, When you develop Spring MVC based web applications and also using Spring in the services layer, you need to provide two application-contexts. The first one is configured using ContextLoaderListener, and the other is set using DispatcherServlet. The DispatcherServlet is responsible for loading web component-specific beans like controllers, view resolvers, and handler mappings while, as I said before, ContextLoaderListener is accountable for loading middle-tier and data-tier beans which forms the back end of Spring applications. --- Java Interview questions and tutorials

I Tried 20+ #Python Courses and Certifications on Coursera — Here Are the Top 5 I Recommend for 2026 My Favorite Python Courses and Certification on Coursera for 2026 Hello guys, as software engineers, we’re perpetual learners and only thing constant in our world is change. Over the years, Python has become a go-to language for AI and Machine Learning and given we are now going into AI age, it really become one of the most essential #programming language for developers. If you want to learn Python and looking for resources then you have come to the right place. As someone who has spent years exploring online education, I’ve taken hundreds of programming and tech courses across platforms like Udemy, Educative, Datacamp, and Coursera. I enjoy experimenting — comparing teaching styles, project quality, and how well a #course prepares you for real-world challenges. Over time, one thing became clear: Coursera stands in a class of its own when it comes to university-level learning and industry-recognized certifications. While platforms like Udemy or Educative offer fantastic hands-on learning and affordable access to countless instructors, Coursera gives you something deeper — direct access to courses built by global tech leaders like Google, Meta, and IBM, and world-class universities like Stanford, Michigan, and Duke. These aren’t just online tutorials; they’re structured academic programs with rigorous assessments, project-based modules, and certificates that genuinely hold professional value. After completing 20+ Python courses and certifications on Coursera, I’ve realized that while there are dozens of options, only a few truly balance theory, application, and long-term relevance. Whether you’re learning Python for data science, automation, or full-stack development, Coursera’s curated programs make it easy to learn from the same experts who shape today’s technology landscape. So, in this post, I’m sharing the top 5 Python courses and certifications I recommend for 2026 — based on my personal experience, career applicability, and how well they prepare you for real-world programming challenges. So, what are we waiting for, let’s dive into these awesome Python courses. 5 Best Coursera Courses and Certification to Learn Python in 2026 Without any further ado, here are the top Python courses and certifications you can take on Coursera in 2026. The list include both free and paid courses and certifications. Most of the courses are actually free to audit on Coursera. 1. Meta — Programming in Python Taught by Meta staff, this course offers a clean, modern introduction to Python from the perspective of a technology company pushing real-world scale. It’s well suited if you already have some programming background and want to learn Python in a structured, company-centric way. As part of Meta’s curriculum, you’ll see how Python is used in production, how code is structured at scale, and how to build reliable engineering fundamentals. I found it a great transition from “learn syntax” to “apply syntax in bigger systems.” Here is the link to join this course — Meta — Programming in Python This course is also part of multiple programs like Meta’s Frontend and Backend Developer certification and completing this course will count towards it. Meta Back-End Developer 2. Python for Everybody Specialization by Charles Russell Severance This Specialization is a standout for breadth and accessibility. It’s ideal for beginners and covers Python fundamentals, data gathering, cleaning, visualization, and analysis. With over 1 .8 million enrolled, it’s one of the most trusted Python programmes on Coursera. What I liked: the way it leads you from zero to building simple applications and performing data tasks. If you’re aiming for a career in analytics or just want solid Python skills, this is a strong foundation. Here is the link to join this course — Python for Everybody Specialization 3. Crash Course on Python by Google Created by Google’s Career Certificates team, this fast-paced course is great if you want to quickly ramp up your Python skills for automation tasks. Over 1.3 million learners are on it already. What you’ll learn: how Python can automate tasks, help system administrators, handle file systems, deal with scheduling, and integrate with tools. If you’re working in operations or DevOps and want Python automation, this one’s a smart pick. This one is also a very popular Python courses from Coursera with more than 1,329,124 folks already enrolled and learned Python. Here is the link to join this course — Crash Course on Python by Google 4. Python for Data Science and AI by IBM If your goal is to apply Python specifically for data science or AI, this is the course to take. It’s beginner-friendly but focused on the domains of DS/AI rather than pure programming. You’ll cover how Python works for data science, how libraries and frameworks integrate, and how you can take a “zero knowledge” Python learner and build toward AI applications. If you want Python with a data-heavy tilt — go here. This course is also part of multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs: * IBM Data Science Professional Certificate * IBM Applied AI Professional Certificate * Applied Data Science Specialization Talking about social proof, more than 1,362,387 people have already enrolled in this program and its one of the most popular Python courses on Coursera. Here is the link to join this course — Python for Data Science and AI by IBM 5. Google IT Automation with Python Professional Certificate This is another Google career-oriented programme, this Professional Certificate goes beyond basics and shows how Python is used in realistic automation and infrastructure contexts. If you want to learn Python for daily engineering tasks — not just data analysis or scripting — this one offers excellent value. It covers not only the language, but how to build scripts, how Python interfaces with OS, how tasks are scheduled, how monitoring is done — making it a real contender for engineers aiming to automate or build backend tooling. Here is the link to join this course — Google IT Automation with Python Professional Certificate Why These Made the Cut? If you are wondering how did I chose these courses, what is so special about them then here are my reasons of selecting these Python courses to share with you: * I prioritized courses with strong structure across Python fundamentals, automation, data, and real-world work. * Each course offers recognized certification and is taught by industry players (Meta, Google, IBM) or trusted educators (Severance). * I vetted for up-to-date content, high enrolment, good reviews, and relevance for 2026 skills: automation, data, AI, production #coding. * They’re scalable: from beginner entry path to job-ready Python use. The good thing is that you can join one or more couress from this list to start your Python journey. The list includes both free and paid courses as well as specializations and professional certificate which can give you certificate from Google and IBM, something you can put on your resume or LinkedIn profile. If you are learning Python for Artificial Intelligence and Machine Learning I suggest you to start with Python for Data Science and AI by IBM, its one of the best and also my favorite. Python for Data Science, AI & Development Special Offer: Coursera Plus 40% OFF If you’re planning to take multiple courses this year, consider the unlimited access plan: Coursera Plus. This single subscription gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth of your money as you get unlimited certificates. Right now you can get up to 40% off the annual subscription (valid for new users) which gives access to thousands of courses. If you’re serious about learning and certification, this deal makes grabbing several Python courses (and beyond) far more efficient. Here is the link — Join Coursera Plus with 40% discount Coursera Plus | Unlimited Access to 10,000+ Online Courses Final Thoughts If I were to pick one course to start with, I’d go Python for Everybody Specialization — it gives you the foundational skills you’ll reuse again and again. After that, choose based on your career target: automation (Crash Course or Google Professional Certificate), data/AI (IBM), or production-level practice (Meta’s course). With these five, you’ll be well-positioned in 2026: stronger in Python, more confident in your coding, and ready for jobs or projects where Python matters. Happy learning!P. S. — If you prefer books, then you can also start with Head First Python: A Brain-Friendly Guide, by Paul Barry, its one of the great book to start with Python from scratch, but if you don’t like Head First Style, Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho is also a good alternative. Fluent Python: Clear, Concise, and Effective Programming --- I Tried 20+ Python Courses and Certifications on Coursera — Here Are the Top 5 I Recommend for 2026 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Factory design pattern in Java, also known as Factory pattern or static factory method pattern provides and indirect and alternate way of creating object than directly using public constructors in Java. Though constructor is most common way of creating object, it's not always best way to do that. Factory pattern, first introduced by GOF in there timeless classic GOF book as creational pattern offers lot of advantage over public constructor for creating objects. It not only encapsulate logic of object instantiation, but also enforce use of tried and tested design principles like programming for interface than implementation by returning super type of objects.  --- Java, Unix, Tibco RV and FIX Protocol Tutorial

Review — Is ByteByteGo’s Machine Learning System Design Course Really Worth It in 2025? Does ByteByteGo’s Machine Learning Interview Course really worth it in 2025? Hello guys, Machine learning has transformed the way we design and build modern systems — from recommendation engines and fraud detection to LLM-powered applications. But when it comes to interview preparation, most developers still struggle with one big gap: connecting machine learning concepts to system design. That’s exactly where ByteByteGo’s Machine Learning System Design Course stands out. Created by the team behind the bestselling System Design Interview — An Insider’s Guide series, this course helps you understand how to design scalable ML systems end-to-end — a skill every senior engineer, data scientist, or ML practitioner needs today. In this article, I’ll break down what the course offers, who it’s for, and whether it’s worth your investment in 2025. By the way, if you always wanted to join ByteByteGo for System Design and Coding interview prep, now is the best time to do so. They are currently offering 50% lifetime discount on their lifetime plan which provide best value as you get full access of whole platform for lifetime. Here is the link to join ByteByteGo now — 50% discount on ByteByteGo 1. Background — The Foundation Comes from a Bestseller This course is based on the excellent book Machine Learning System Design Interview by Alex Xu and Ali Aminian, the same authors behind ByteByteGo. The book — and by extension, the course — focuses on practical system design for ML rather than just theory. It teaches how to reason about ML architectures under real-world constraints: scaling data pipelines, deploying models, handling drift, monitoring performance, and ensuring reliability. What’s inside? - An insider’s take on what interviewers really look for and why. - A 7-step framework for solving any ML system design interview question. - 10 real ML system design interview questions with detailed solutions. - 211 diagrams that visually explain how various systems work. So if you’re someone who learns better through visual explanations and structured examples, the ByteByteGo course is like the book — but online, guided, and updated. Here is the link to join — 50% discount on ByteByteGo 2. What You’ll Learn in the ML System Design Course The course walks you through several real interview-style problems, such as: * Designing a video recommendation system (similar to YouTube or TikTok). * Building an ad-ranking system that scales to millions of users. * Designing an AI-powered search system with relevance feedback. * Understanding feature stores, offline/online training pipelines, and A/B testing. * A 7-step framework for solving any ML system design interview question. Each module includes visual breakdowns, architecture diagrams, and step-by-step reasoning — the same style that made ByteByteGo’s core System Design Interview course so popular. You don’t just memorize answers; you develop a reusable framework for answering any ML system design question confidently. You can explore the course here: Machine Learning System Design Interview Course on ByteByteGo 3. Why It’s Different from Typical ML Courses Most machine learning courses teach algorithms, models, or frameworks like TensorFlow or PyTorch. But interviews — especially at FAANG-level companies — test your ability to design and scale ML systems, not just train models. ByteByteGo bridges this gap by combining software engineering and machine learning system design in one structured path. You’ll learn not only how to design models but how to make them work reliably in production. Their visual guides are also great way to understand complex machine learning concepts and system design as shown below 4. Who Should Take This ML Interview Course? This course is ideal for: * Software engineers transitioning into ML or AI roles. * Machine learning engineers preparing for system design interviews. * Senior developers who want to understand end-to-end ML systems. * Technical leads or architects designing scalable AI products. Even if you’ve read the book, the course provides visualizations, quizzes, and scenario walkthroughs that make the learning process much more engaging. Here is the link to join — 50% discount on ByteByteGo 5. Pricing and the 50% Lifetime Plan Discount ByteByteGo currently offers 50% off on both annual and lifetime plans, and honestly, the lifetime plan gives you the best value. With lifetime access, you not only get the ML System Design course but also: * The complete System Design Interview course series * Object-Oriented Design, Generative AI System Design, and Coding Patterns * New lessons added regularly at no extra cost You can check the pricing and the current offer here: ByteByteGo Lifetime Plan — 50% Off Given how often they add new modules, the lifetime plan pays for itself quickly if you’re serious about continuous learning or preparing for FAANG-style interviews. 6. My Verdict — Absolutely Worth It If your goal in 2025 is to master system design for AI and ML interviews, the ByteByteGo ML System Design Course is absolutely worth it. It condenses years of real-world experience into digestible, visual lessons that are far more engaging than textbooks or random YouTube videos. It’s built by engineers who’ve been on both sides of the interview table, and it shows. Every topic — from data pipelines to model serving — is approached with clarity, depth, and practicality. If I had to summarize it:The book gives you the theory. The ByteByteGo course gives you mastery. If you’re preparing for system design or machine learning interviews, check out ByteByteGo and grab their 50% discount on lifetime access while it lasts. Other #Programming and Interview Articles you may like * ByteByteGo vs LeetCode? which one is better for tech interview? * ByteByteGo Lifetime Plan Review: Is It the Best Investment for Developers in 2025? * 25 Software Design Interview Questions for Programmers * How Algomonster helped me to master DSA for interviews? * Exponent 70% OFF — Is It Worth It for FAANG Interview Prep? * LeetCode vs. AlgoMonster? * ByteByteGo vs NeetCode vs Educative? which one is better? * Codemia.io Annual vs. Lifetime Plan? * Is ByteByteGo a good place for Coding interviews? * Why System Design Is the Hardest Part of FAANG Interviews? * How to Prepare for Coding Interviews? * Algomonster Review 2025 — Is it worth it? * AlgoMonster vs Exponent vs DesignGurus? * Codemia.io 65% OFF Lifetime Plan — Is It Worth It for FAANG Interview? * Is DesignGuru’s System Design Course worth it * 3 Free Books and Courses for System Design Interviews * Is System Design Interview RoadMap by DesignGuru worth it? * Is Exponent’s System Design Course worth it? * LeetCode vs AlgoMonster? Which is better for Coding Interview? * 10 Best Places to Learn System Design in 2025 * My Favorite Software Design Courses for 2025 * ByteByteGo 50% OFF? Should you Join? * 10 Reasons to Learn System Design in 2025 Thanks for reading this article so far. If you like this article then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.P. S. — If you just want to do one thing at this moment, go join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. The FAANG dream job you always wanted is not far anymore. System Design · Coding · Behavioral · Machine Learning Interviews --- Review — Is ByteByteGo’s Machine Learning System Design Course Really Worth It in 2025? was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

One of the standard requirement in a secure Java web application is to disallow the back button of the browser or invalid the session if the user hit the back button of the browser. You might have seen this behavior while doing online banking or net banking, almost all the banks don't allow you to use the browser's back button. Your session gets terminated as soon as you hit the back button, and you have to log in again to do any transaction. Btw, have you ever checked some situations on your Servlet and JSP-based Java web application, like, if you pressed the back button of your browser after logging in, what happened? You will find that the browser takes you to the previous page. --- Java Interview questions and tutorials

No setup, no friction. Just interactive, browser-based coding practice for 100% free and with prizes to won like MacBook Air, Sony WH-1000XM4 headphones, and $50 gift cards.

If you are like me, who thinks Flutter is the future of mobile development and looking for some excellent online courses to learn Flutter, then you have come to the right place. In this article, I am going to share some of the best online courses to learn Flutter in 2025 from Udemy, Pluralsight, and Coursera, but before going into that, let's see what Flutter is and why everyone is so excited about it. Well, in general, whenever something comes from Google, it makes a lot of developers excited like Angular, Dart, and now Flutter. I have got my hand dirty in both Android and iOS using Java and Objective-C in the past, but after working for some time, I decided to move on. --- Java, Unix, Tibco RV and FIX Protocol Tutorial

Hello folks, if you are not living under the rock, you would have definitely heard about Blockchain and Cryptocurrencies. Blockchain is one of the most in-demand skills, and there are not many people out there. If you want to learn Blockchain and related technologies like Ethereum, Solidity, Hyperledger, etc., and are looking for Blockchain training courses and certification, you have come to the right place. But, before that, let's get a quick overview of what Blockchain is, why it's popular, and why you should learn Blockchain in 2025. --- Java, Unix, Tibco RV and FIX Protocol Tutorial

Review — Is the High-#Performance Spring Persistence Course Worth It? Is the High-Performance Spring Persistence Course by Vlad Michalcea Worth It? Hello guys, as software developers, we’re lifelong students. The tech stack may change, frameworks evolve, and new paradigms appear every year — but one thing never changes: our need to keep learning. Over the past decade, I’ve seen developers lose their edge not because they lacked experience, but because they stopped learning deeply. And if you’ve been working with Spring Boot and Spring Data JPA, there’s a course you might want to put on your radar — High-Performance Spring Persistence by Vlad Mihalcea. If you are doing #Java then there is a good chance that you already know Vlad and might have read his High-Performance Java Persistence by Vlad Mihalcea or gone through his High-Performance Java Persistence Online Edition course, both are well respected and received by senior Java developers who want to improve performance of their Java application. Vlad, has now come up with his new course, High-Performance Spring Persistence and in this article we fill find it whether it’s worth your time (and money). High-Performance Spring Persistence - Online Edition About Vlad Mihalcea — The Mind Behind the Course If you’ve worked with Hibernate or Spring Data JPA, chances are you’ve already come across Vlad Mihalcea’s work — even if you didn’t realize it. Vlad is a Java Champion, a distinction given to the most influential members of the Java community, and one of the top committers to the Hibernate ORM project. His deep expertise in database performance, transaction management, and ORM frameworks has made him a trusted voice for backend engineers worldwide. Vlad is also the author of the best-selling book High-Performance Java Persistence, a go-to reference for developers looking to understand how JPA and Hibernate really work under the hood. High-Performance Java Persistence - Online Edition Building on that success, he created the High-Performance Spring Persistence video course, which brings the same clarity and depth into a structured, hands-on learning format. He also developed Hypersistence Optimizer, an intelligent tool that analyzes your application’s JPA and Hibernate configuration to detect performance bottlenecks and suggest optimizations — essentially giving developers a “performance expert in a box.” He is also creator of High-Performance SQL Online Edition, a great course on SQL optimization and performance improvement. High-Performance SQL - Online Edition With gold badges for Hibernate, Java, and JPA on Stack Overflow and thousands of community answers, Vlad has spent years helping developers solve the exact problems this course aims to address. When you learn from him, you’re learning from someone who not only understands Hibernate internals but has also shaped how it evolves. What does the High-Performance Spring Persistence Course Covers? The first release includes over 3 hours of deep, practical lessons focusing on topics that most developers gloss over — the kind that can make or break production performance. Here’s what you’ll learn in the initial modules: * Logging Best Practices — how to log efficiently without slowing down your application. * Testing Best Practices — ensuring your JPA logic is correct and fast through smart, lightweight testing. * Mapping Types Efficiently — how to choose the right data types for optimal database interaction. * Getting the Most Out of Your Persistence Context — tuning and managing the entity lifecycle. * Batch Processing & Statement Caching — the secret to handling high-load scenarios without database bottlenecks. Each lesson combines conceptual clarity with practical examples — it’s not just “what” to do, but “why” it matters in real-world systems. Here is detailed list of all the topics covered in this course : What I love most about this course is that it’s evolving. The instructor plans to add three new modules — Identifiers, Relationships, and Fetching — at no additional cost. These are some of the trickiest and most misunderstood areas of JPA, and having them included later makes the course even more valuable. Essentially, you’re buying early and getting a bigger library as it grows. My Verdict — Who Should Take It? If you’re a Spring Boot developer who: * Works with JPA/Hibernate regularly * Has experienced performance issues but couldn’t pinpoint why * Wants to master the “under-the-hood” details of persistence * Or simply wants to write faster, cleaner, and more efficient code Then yes, this course is absolutely worth it — especially at the 50% launch discount. It bridges the gap between average persistence code and high-performance, production-ready systems — something most developers don’t get from typical tutorials. Here is the link — Join High Performance Spring Persistence for 50% OFF Related Resources If you want to complement this course and grow as a full-stack engineer, I recommend pairing it with these high-quality learning platforms: * ByteByteGo — for mastering system design through visuals and case studies. System Design · Coding · Behavioral · Machine Learning Interviews * Codemia.io — for hands-on design and architecture practice with iterative feedback. Master System Design Interviews Through Active Practice * Bugfree.ai — for AI-driven mock interviews and system design exercises. Master System Design & Behavioral Interviews Like Leetcode * Educative.io — for interactive, text-based learning paths on Java, Spring, and backend performance. Educative: AI-Powered Interactive Courses for Developers Final Thoughts High-Performance Spring Persistence isn’t another beginner-friendly “Spring tutorial.” It’s for developers who already use JPA and want to go from “it works” to “it’s optimized.” It teaches the why behind the how, which is the kind of insight that pays off for years in production-grade software. If you’ve ever debugged slow queries or faced N+1 select issues, this is one course that’ll help you fix them for good. At half the price, it’s a solid investment in your career and your craft. If you want to do just one thing, I suggest go ahead and join this course, you will thank me later High-Performance Spring Persistence - Online Edition --- Review — Is the High-Performance Spring Persistence Course Worth It? was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hello guys, if you are looking to learn Java on Coursera, one of the most reputed online course platforms and looking for the best Courser courses for Java Developers then you have come to the right place. Earlier, I have shared the best Java development courses from Udemy,  Pluralsight, and LinkedIn Learning, and today, I am going to share Java courses from Coursera. The list includes both beginner-level and advanced-level Coursera courses for Java developers. This means you will not only find courses to learn core Java but also courses to learn advanced concepts like concurrent programming, distributed programming, Microservices, and Spring Framework.  --- Java, Unix, Tibco RV and FIX Protocol Tutorial

10 System Design Patterns Every Software Engineer Should Know Hello guys, If you’ve ever struggled to explain how a system like Netflix, WhatsApp, or Uber scales to millions of users, you’re not alone. System Design is one of the hardest areas to master for software engineers — not because it’s impossible, but because it’s abstract. That’s exactly where ByteByteGo comes in. Founded by Alex Xu and Sahn Lam, ByteByteGo has transformed the way engineers learn system design — through beautiful visuals, real-world examples, and step-by-step explanations. Their System Design Interview books and visual courses are among the most trusted resources for FAANG-level interview prep. Recently, they’ve launched a 50% lifetime discount on their platform, making it the perfect time to invest in mastering system design. You can explore it here: Here is the link to join ByteByteGo now — 50% discount on ByteByteGo In this article, I’ll walk you through 10 essential system design patterns every developer should know — all inspired by the visual clarity of ByteByteGo’s approach. 10 System Design Patterns Every Software Engineer Should Know Without any further ado, here are the 10 essential System Design Pattern which every developer should know and remember, not just for interviews but also for day-to-day software engineering and design work 1. Load Balancer Pattern When millions of requests hit your service, a Load Balancer distributes the traffic evenly across multiple servers. It ensures high availability, scalability, and fault tolerance. Think of it as a “traffic cop” for your backend — directing cars (requests) to less crowded lanes (servers). Where it’s used: Web servers, microservices, API gateways. ByteByteGo visual insight: 6 ways to use load balancers from traffic distribution to high availability.credit — ByteByteGo 2. Caching Pattern Caching stores frequently accessed data in memory to reduce database load and latency. Without caching, every user request hits the database — creating bottlenecks. Where it’s used: CDN, Redis, Memcached, browser caches. ByteByteGo explains: Trade-offs between read-through, write-through, and write-back caching strategies.credit — ByteByteGo 3. Database Sharding Pattern When one database can’t handle all your data, sharding partitions it horizontally into smaller chunks called shards. Each shard handles part of the data, allowing horizontal scaling. Challenges: Rebalancing, cross-shard queries, and consistent hashing. Learn visually: ByteByteGo diagrams make sharding architectures intuitive, especially how routing works.credit — ByteByteGo 4. Message Queue Pattern Instead of direct service-to-service calls, systems use message queues like Kafka or RabbitMQ to handle asynchronous communication. It decouples producers and consumers — allowing systems to stay resilient under high load. Example: Payment processing or notification systems. Why it matters: It’s a foundation of event-driven architecture, one of the most frequent interview topics. 5. Database Replication Pattern Replication creates multiple copies of the same database — improving availability and read scalability. If one replica fails, another can take over without downtime. ByteByteGo visualizes: Replication lag, Sync vs Async replication, Single Leader Replication, Leaderless Application and multi leader replication — all explained through clear flow diagrams. 6. Rate Limiter Pattern Rate limiters control how many requests a client can make in a given time frame. They protect APIs from abuse, DDoS attacks, and excessive usage. Implementation examples: Token bucket, leaky bucket algorithms. In interviews: “Design a rate limiter” is a ByteByteGo-favorite scenario — often paired with Redis or NGINX.credit — ByteByteGo 7. Content Delivery Network (CDN) Pattern A CDN caches static assets (like images, CSS, videos) closer to the user’s location. It drastically reduces latency and server load. ByteByteGo’s take: They show how edge caching, invalidation, and TTL work behind global services like YouTube and Netflix.credit — ByteByteGo 8. Microservices Pattern Large monolithic systems are broken down into smaller, independent services. Each microservice owns its data and functionality. Why it’s important: It’s the foundation of modern cloud architecture and interview questions like “Design Amazon” or “Design Spotify” Learn visually: ByteByteGo’s diagrams clarify inter-service communication, discovery, and event-driven flow.credite — ByteByteGo 9. Observer (Pub/Sub) Pattern This pattern allows services to publish events and others to subscribe to them asynchronously. It enables real-time updates and decoupled communication. Use cases: Notifications, analytics, IoT. ByteByteGo visual: Perfectly illustrates how event buses manage complex async workflows. 10. API Gateway Pattern The API Gateway acts as the single entry point for all client requests. It handles routing, authentication, and rate limiting before forwarding requests to internal services. ByteByteGo perspective: Shows how gateways integrate with microservices and load balancers to handle millions of API calls daily. Wrapping Up — Learn System Design Visually and Effectively These patterns form the core building blocks of modern distributed systems — and ByteByteGo teaches them like no one else. Whether you’re preparing for your FAANG system design interview, or building real-world systems, ByteByteGo’s visual and structured approach is a complete solution. They not only cover these 10 patterns, but also hundreds of real-world systems — from designing Instagram to scaling chat apps like Slack. 👉 Grab ByteByteGo’s Lifetime Plan at 50% OFF and start learning System Design the visual way — faster, deeper, and smarter. Other Programming and Interview Articles you may like * ByteByteGo vs LeetCode? which one is better for tech interview? * ByteByteGo Lifetime Plan Review: Is It the Best Investment for Developers in 2025? * 25 Software Design Interview Questions for Programmers * How Algomonster helped me to master DSA for interviews? * Exponent 70% OFF — Is It Worth It for FAANG Interview Prep? * LeetCode vs. AlgoMonster? Which One Should You Use for Coding Interviews? * Why System Design Is the Hardest Part of FAANG Interviews? * How to Prepare for Coding Interviews? * Algomonster Review 2025 — Is it worth it? * ByteByteGo vs NeetCode vs Educative? which one is better? * Codemia.io Annual vs. Lifetime Plan? * Is ByteByteGo a good place for Coding interviews? * AlgoMonster vs Exponent vs DesignGurus? * Codemia.io 65% OFF Lifetime Plan — Is It Worth It for FAANG Interview? * Is DesignGuru’s System Design Course worth it * 3 Free Books and Courses for System Design Interviews * Is System Design Interview RoadMap by DesignGuru worth it? * Is Exponent’s System Design Course worth it? * LeetCode vs AlgoMonster? Which is better for Coding Interview? * 10 Best Places to Learn System Design in 2025 * My Favorite Software Design Courses for 2025 * ByteByteGo 50% OFF? Should you Join? * 10 Reasons to Learn System Design in 2025 Thanks for reading this article so far. If you like this article then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.P. S. — If you just want to do one thing at this moment, go join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. The FAANG dream job you always wanted is not far anymore. System Design · Coding · Behavioral · Machine Learning Interviews --- 10 System Design Patterns That Actually Matters (Inspired by ByteByteGo) was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

My favorite Udemy courses to learn #MLOps, #LLMOps, and AIOps in 2026 Hello guys, As artificial intelligence becomes the foundation of modern software, the ability to deploy, monitor, and manage AI systems at scale is becoming a must-have skill for every data scientist, ML engineer, and DevOps professional. That’s where MLOps and AIOps come in — bridging the gap between machine learning development and real-world production operations. By 2026, companies won’t just be hiring people who can train models. They’ll want engineers who can integrate LLMs, automate retraining, manage pipelines, and ensure observability across complex AI systems. Fortunately, you can now learn these skills online with top-rated Udemy courses that combine practical labs, end-to-end projects, and real-world cloud experience. Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn MLOps, AIOps, and LLOps in 2026. You can join one or more of these courses to get yourself familiar of running AI model and AI agents in production. The interaction of AI infra, Cloud, and Machine Learning is an exciting field these days. So what are we waiting for, let’s start now 7 Best Udemy Courses to Learn MLOps, AIOps, and LLMOps in 2026 Without any further ado, here are 7 best Udemy courses to learn MLOps and AIOps in 2026, covering everything from CI/CD for ML to LLMOps, RAG pipelines, and cloud deployment across AWS, GCP, and Azure. 1. LLMOps and AIOps Bootcamp with 8 End-to-End Projects Instructor: Expert-led team | Level: Intermediate to Advanced If you’re serious about deploying Large Language Models (LLMs) and want hands-on experience in AIOps, this bootcamp is a must. It covers Jenkins CI/CD, Docker, Kubernetes, AWS/GCP, Prometheus monitoring, and vector databases for real-world AI deployment. T The course includes 8 full projects simulating production-grade environments — helping you understand how to operationalize GenAI systems securely and efficiently. What sets this course apart is the emphasis on end-to-end pipelines, observability, and post-deployment maintenance, making it ideal for engineers transitioning from ML to full-scale production AI systems. Here is the link to join this course — LLMOps and AIOps Bootcamp with 8 End-to-End Projects 2. Complete MLOps Bootcamp with 10+ End-to-End ML Projects Instructor: Experienced ML Engineer | Level: All Levels This course is one of the most comprehensive on Udemy for mastering MLOps fundamentals. It includes over 10 hands-on projects covering every stage of the ML lifecycle — from data ingestion and model training to deployment and automation. You’ll learn how to integrate MLflow, Docker, Jenkins, and Kubernetes, and how to manage versioning, reproducibility, and continuous delivery in ML environments. The course also provides a strong foundation for engineers aiming to move into ML engineering and production AI roles. Here is the link to join this course — Complete MLOps Bootcamp with 10+ End-to-End ML Projects 3. AI Engineer MLOps Track: Deploy Gen AI & Agentic AI at Scale Instructor: Senior AI Engineer | Level: Intermediate to Advanced Designed for AI engineers building Generative AI and Agentic AI systems, this course focuses on scaling AI workloads across AWS, GCP, Azure, and Vercel. It also introduces MCP (Model Context Protocol), Bedrock, and SageMaker, helping you manage large-scale, multi-model deployments. If you’re interested in AI infrastructure, #LLM deployment, or enterprise AI pipelines, this track provides an exceptional foundation for designing scalable and observable systems that support cutting-edge AI applications. Here is the link to join this course — AI Engineer MLOps Track: Deploy Gen AI & Agentic AI at Scale 4. Beginner to Advanced MLOps on GCP: CI/CD, Kubernetes, Jenkins Instructor: Cloud AI Expert | Level: Beginner to Advanced For those who prefer the Google Cloud ecosystem, this course teaches you how to build and automate ML pipelines using Kubernetes, GitLab CI, Jenkins, Prometheus, Grafana, Kubeflow, and Minikube. You’ll gain hands-on experience with real-world GCP workflows, including data preprocessing, containerization, and continuous integration for ML models. It’s a great way to build strong cloud-native MLOps skills while understanding how GCP simplifies large-scale AI deployment. Here is the link to join this course — Beginner to Advanced MLOps on GCP: CI/CD, Kubernetes, Jenkins 5. Ultimate DevOps to MLOps Bootcamp — Build ML CI/CD Pipelines Instructor: Full Stack ML Engineer | Level: Intermediate If you already understand DevOps and want to transition into MLOps, this course bridges the gap perfectly. You’ll build a real-world ML project using MLflow, Docker, and Kubernetes, and deploy it with a CI/CD pipeline that simulates enterprise operations. The course emphasizes collaboration between data scientists, ML engineers, and DevOps teams, showing how to create efficient pipelines for model retraining, performance tracking, and automation — exactly what modern AI teams need. Here is the link to join this course — Ultimate DevOps to MLOps Bootcamp — Build ML CI/CD Pipelines 6. MLOps with AWS — Bootcamp: Zero to Hero Series Instructor: AWS Certified Instructor | Level: Beginner to Intermediate If your goal is to master MLOps on AWS, this bootcamp covers everything from Jupyter notebooks to production-ready ML operations. You’ll learn Amazon SageMaker, CloudWatch, ECS, and ECR, and practice building end-to-end pipelines that integrate seamlessly with the AWS ecosystem. The “Zero to Hero” approach ensures you build confidence step-by-step — ideal for those transitioning from data science or DevOps backgrounds into cloud-based MLOps roles. Here is the link to join this course — MLOps with AWS — Bootcamp: Zero to Hero Series 7. Azure Machine Learning & MLOps: Beginner to Advance Instructor: Microsoft Certified Trainer | Level: Beginner to Advanced This course is perfect for developers and engineers working in Microsoft’s Azure environment. It provides a complete overview of Azure Machine Learning, MLOps, and model deployment automation. You’ll learn how to use Azure ML Studio, Pipelines, and Monitoring tools to build scalable and cost-effective AI systems. The course is project-based, helping you develop skills that directly translate to enterprise-level applications. Here is the link to join this course — Azure Machine Learning & MLOps: Beginner to Advance Final Thoughts That’s all about the best Udemy courses to learn MLOps, AIOps and LLMOps in 2026. By 2027, mastering MLOps and AIOps will be one of the fastest ways to advance your career in AI engineering. Whether you’re working on LLMs, traditional ML pipelines, or GenAI systems, these Udemy courses offer the best blend of hands-on learning, cloud integration, and production-level experience. If you’re serious about staying ahead in AI infrastructure, start with any of these bootcamps and build real-world projects that showcase your ability to operationalize AI at scale. By the way, if you want to join multiple courses on Udemy then you can also checkout Udemy’s Personal Plan, where you get access to best of Udemy’s 11000+ courses for a monthly fee of $30. If you want to join multiple courses then Udemy Personal Plan is actually a better deal. You can also try for free for 7 days to get a feel of it. So, what are you waiting for? Pick a course, start learning, and join the AI revolution! Happy Learning! * Top 5 Courses to Prepare for AIF-C01 Exam in 2025 * How to Prepare for AWS Solution Architect Exam in 2025 * 6 Courses to learn Model Context Protocol in 2025 * 6 Udemy Courses to learn Agentic AI in 2025 * 6 Udemy Courses to learn AWS Bedrock in 2025 * Top 5 Udemy Courses for AWS Cloud Practitioner Exam in 2025 * 5 Best Courses to learn AWS SageMaker in 2025 * 5 Best Udemy courses to learn Midjourney in 2025 * 5 Best Courses and Projects to Learn AI and ML in 2025 * 5 Projects You can Build to become an AI Engineer * Top 10 Udemy Courses to learn Artificial Intelligence in depth * Top 5 Udemy courses to build AI Agents in 2025 * 7 Best Courses to learn AWS S3 and DynamoDB in 2025 * 10 Best Udemy Courses to learn Artificial Intelligence in 2025 * 8 Udemy courses to learn Prompt Engineering and ChatGPT * 5 Best Udemy Courses to learn Building AI Agents in 2025 * Top 5 Udemy Courses to learn Large Language Model in 2025 Thanks for reading this article so far. If you find these Udemy Courses for learning MLOps, AIOps, and LLMOps then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note. P. S. — If you are a complete beginner on Agentic AI then I also recommend you to first go through a comprehensive course like The Complete Agentic AI Engineering (2025) Course, I highly recommend that to anyone who want to start with Agentic AI. I Tried 50 Artificial Intelligence Courses: Here Are My Top 5 Recommendations for 2025 --- Top 7 Udemy Courses to Learn MLOps and AIOps in 2027 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hello Java developers, if you are using Spring Framework or Spring Boot in your new project and wondering what is property source in Spring Framework and how to use @PropertySource annotation then you have come to the right place. Earlier, I have shared the best books and online courses to learn Spring Framework and in this article, I will teach you how to use @PropertySource annotation in Spring to read Environment variables and inject properties using @Value annotation. In the Spring application, one of the files that are needed to provide properties to the Spring environment is the @Configuration classes.  --- Java Interview questions and tutorials

How I Designed an LRU Cache in a Coding Interview (and What I Learned Along the Way)

Hello guys, if you are wondering how to does autowiring work in Spring Framework and how does Spring Framework find dependency in runtime then you have come to the right place. Earlier, I have explained How Spring MVC works and how Spring Security works, and In this tutorial, I will tell you how component scanning and auto-wiring works in Spring. You will also learn how to enable component scanning in a Spring application. When you develop a software application using spring, you need to tell the Spring framework where to look for Spring components. Using component scanning it is very much easier as this enables auto-detection of beans by spring container and smoothly. --- Java Interview questions and tutorials

Hello Java Programmers and developer friends, If you are an experienced developer and want to become a DevOps Engineer or just want to learn the DevOps process and tools to improve your development and delivery process and looking for free DevOps online courses to kickstart your journey, then you have come to the right place. Earlier, I shared the best DevOps books and training courses, and today, I will share the best free online lessons to learn about DevOps. These free courses are created by experts and trusted by thousands of developers and they will teach you DevOps concepts, practice, DevOps tools like Docker, Jenkins, Ansible, and Kubernetes and suitable for both beginners and experienced developers. They are also curated from popular online learning platforms like Udemy, Pluralsight, and Coursera, and they offer practice and hands-on training. --- Java, Unix, Tibco RV and FIX Protocol Tutorial