Master Generative AI using JavaScript in 12 Weeks

Amazing course , after completing the rag agents gained a lot of confidence in building ai agents, this course demystifies a lot of ai jargons. Looking forward to building ai products.

This course made GenAI very clear. From RAGs to LangGraph and agentic AI, everything was taught step by step in JavaScript with real use cases. It’s very practical.

This course is everything one needs to learn GenerativeAI from scratch. It starts from base level and goes till advance. It is helping me shape my skills in a better way.

I had no idea about AI when I started this course. Now I'm actually building RAG systems and shipping AI products at work - still feels surreal honestly. Rakesh sir has this way of explaining things that just makes sense. Complex topics feel simple, nothing ever feels out of reach. This course genuinely changed how I work.If you're thinking about it - just take it, you won't regret it!

From Zero to Building a Live AI SaaS This Course Changed Everything Before enrolling in CodersGyan's GenAI with JavaScript course, I had zero hands-on experience with AI development. I knew JavaScript well, but GenAI felt like a completely different world. Today, I've shipped real AI features, including an autonomous AI Spending Coach and a multi-model voice-to-expense pipeline, inside AiXpense, my own live SaaS product with real beta users. What makes this course genuinely different is its philosophy: read the official docs first, then code. Instead of just teaching you "how to use tool X today," it teaches you how to think, so when a new model, SDK, or framework drops tomorrow, you already know how to evaluate and adopt it yourself. That mindset shift alone was worth the entire course. The curriculum coverage is unmatched. We went from RAG pipelines all the way to autonomous agents, not in a shallow, overview-style way, but with live coding, real implementations, and actual code reviews. I'm now using Vercel AI SDK, LangChain, RAG, and agent/tool-calling patterns directly in production. These aren't side projects, they're powering features my users rely on daily. The live coding style made complex topics feel approachable. Seeing real code written in real-time, with real mistakes and fixes, is how actual learning happens. If you're a JavaScript developer wondering whether to step into GenAI, stop wondering. This course gives you both the fundamentals and the confidence to keep learning long after it ends. Best investment I made as a developer. Best Regards, Pratik Jadhav Full-Stack Developer

I started this course with a strong background in blockchain and full-stack development, but GenAI was completely new to me. At first, I wasn’t sure how to actually communicate with machines through prompts or how to bring AI into real projects. What really helped was learning to think in terms of prompts as a language for machines, and the step-by-step coding style made every concept clear and easy to apply. The project I’m most proud of is my AI assistant “Quero,” which can talk like a girlfriend and use PDFs with memory vectors—I even extended it to run locally with Ollama, which gave me huge confidence. I also discovered powerful tools like LangChain, custom graphs, and RAG workflows that completely changed how I structure AI projects—I now design proper pipelines with memory, retrieval, and tools instead of just calling a model. I’d definitely recommend this GenAI with JS course to anyone who wants to go beyond surface-level experimentation and actually build meaningful AI apps. My advice for future students: don’t just copy the code—experiment, tweak, and apply it to your own ideas, because that’s where the real growth happens.

As a complete beginner, I enrolled in the Generative AI course by CodersGyan, and I must say - it’s one of the best learning experiences I’ve had so far! Rakesh Sir has a rare talent for simplifying complex AI concepts. He doesn’t just teach theory - he makes sure you understand why things work the way they do. The step-by-step approach, real-world projects, and practical explanations made topics like LLMs, embeddings, prompt engineering, RAG systems, and fine-tuning so much easier to grasp. What I loved the most is how beginner-friendly the course is. Even with zero prior experience in AI, I never felt lost. Each module builds on the previous one, and by the end, you actually gain the confidence to start building real AI-powered applications yourself. Overall, this course is a perfect choice for anyone who wants to enter the world of Generative AI — especially beginners who want to move from curiosity to real project building. Highly recommended! 🚀

As a backend engineer, I had been hearing a lot about AI and LLMs everywhere. There is so much hype around it that I was honestly confused about where to start and how to start learning and applying it in real projects. After taking the Generative AI with JavaScript course, things finally started to make sense. The course breaks down complex concepts into practical examples and shows how GenAI can actually be used to build real-world applications, not just theory. One of the most valuable parts for me was understanding how LLMs work in applications, how to integrate them using JavaScript, and how agentic systems can be designed to solve complex tasks. It gave me a clear picture of how modern AI-powered systems are built. If you're a developer, especially a backend engineer like me, who wants to move beyond the hype and learn how to practically build AI-powered applications, this course is a great place to start.

I have been learning from the Coders Gyan platform for many years, and I really like the teaching style. Whatever sir teaches, I can understand it clearly in one go, which makes learning much easier. That’s why I recommend everyone to learn from Coders Gyan. The Backend Fundamentals course is amazing and helps build a very strong foundation. You can learn many important concepts from it. This GenAI course is outstanding! This is also a great next step after learning backend fundamentals. With this combination, you can build backend systems for different kinds of products, including generative AI applications. The content is well-structured, beginner-friendly, and covers both foundational concepts and advanced topics like RAG, LLMs, prompt engineering, and Agentic AI. The hands-on projects really helped me apply what I learned, and the explanations are always clear and practical. I especially liked the real-world coding demos and the focus on building useful AI apps. Highly recommended for anyone serious about AI and building intelligent solutions!

I built an AI-powered expense tracker to make personal finance simpler and smarter. It automatically categorizes transactions, analyzes spending patterns, and gives useful insights and budgeting suggestions. It really helps in identifying unnecessary expenses and making better financial decisions. I’m now taking it further by turning it into a SaaS product - an AI finance assistant that can offer personalized guidance at scale. Throughout this journey, I got hands-on experience with concepts like RAG, agentic AI, and multi-agent systems by building real-world projects like chatbots and assistants. I also explored tools like LangGraph, React agents, observability, human-in-the-loop systems, and MCP. What I loved most is how practical the learning was, it genuinely helped me understand how to build scalable, production-ready AI applications and confidently apply AI to real user problems.

I liked the teaching style of Rakesh sir. He explained the topic as well as written code in detailed manner and I learnt many things in short duration of time. Thanks sir.

Best course where everything explained from basic and covering as much as depth of the each topic.

10/10 Course i really loved it everything covered and one thing any course you buy without your own effort you can't learn anything Teachers are just for your help not for spoon feeding everything..... Thank you Rakesh sir ❤️