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Master Generative AI using JavaScript

Complete course for building, deploying, and optimizing Generative AI applications using Modern Frameworks and best practices.

Rakesh K

Course By Rakesh K

Last updated March 2026

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4.8 / 5

1800+ Learners already enrolled.

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Important details

Category

Gen AI

Duration

50hr+

Level

Basic to Advanced

Format

Recorded

Language

Hinglish

Introduction

Welcome to your hands-on journey into Generative AI using JavaScript!

In this course, you'll go beyond just learning what GenAI is—you'll actually build useful AI apps with JavaScript & TypeScript. We'll create things like a ChatGPT clone and AI assistants, covering practical skills like prompting, APIs, model integration, and RAG. By the end, you'll know how to confidently build your own AI projects.

Your growth timeline

Your 12-Week Journey to Becoming a Hiring-Ready Gen AI Developer

Whether you're totally new or a developer who hasn't built an AI app yet, this course will help you become a skilled GenAI developer in just 12 weeks. You'll build real AI products, gain practical experience, and be ready for real-world opportunities.

Roadmap

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.

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Arnab Saha

Associate Consultant @PwC

@arnabsaha

What you will learn

Skills & Value you’ll acquire

A comprehensive curriculum designed to transform you into a confident fullstack GEN AI developer

How to Make AI Talk

Learn how to build chatbots that understand context and give meaningful responses.

Prompting Secrets

Master the art of crafting prompts to get better results from ChatGPT and other LLMs.

Behind the Scenes of ChatGPT

Understand how large language models work—explained in a simple and beginner-friendly way.

Connecting AI with Your Apps

Integrate GenAI into your existing tools, websites, and workflows using APIs.

Smarter Search & QnA (RAG)

Create AI search systems and company-specific bots using Retrieval-Augmented Generation (RAG).

AI Agents That Can Act

Build autonomous agents that perform tasks like booking meetings or organizing data.

Real-World AI Projects

Work on practical apps like an AI image editor, voice cloner, and content writer.

Keep Your AI Safe

Implement guardrails, safety checks, and control flows to ensure responsible AI behavior.

Deploy and Launch

Take your AI projects live—host them so others can use what you've built.

Advanced AI Tools

Explore next-gen tools like LangGraph and agent frameworks shaping the AI future.

Make AI Remember Things

Teach your chatbots to retain memory of previous interactions for more natural conversations.

Let Humans Step In

Create hybrid systems where humans can take over AI workflows for support and oversight.

See How AI Thinks

Visualize AI decision-making to reduce the ‘black box’ feel and improve interpretability.

Make AI Write & Create

Build tools for generating text, creative ideas, images, or even voice outputs with GenAI.

Bring AI Into Real Life

Learn to apply GenAI in your job, projects, or daily routines to automate and enhance productivity.

and much more... Become a Production-ready Fullstack GEN AI Engineer

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.

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Sparsh Agarwal

Student

@sparshagarwal

Course project

What products you will build here

ChatGPT Clone

Perplexity Clone - Research Agent

Company Personal Assistant

Personal Assistant with Google Calendar

Customer Support Chat Bot

Social Media Writer

Ecommerce Assistant

AI Image Editor

AI Language Tutor

Fullstack AI SaaS App

Project Previews

AI Image Editor

AI Image Editor

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.

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Raj Mazumder

Blockchain Developer @Pixel Softwares

@rajmazumder

Course techstack

Techstack you will learn

Techstacks we will use and you will learn in this

Javascript

Javascript

Typescript

Typescript

React.js

React.js

Next.js

Next.js

Node.js

Node.js

Express.js

Express.js

Langchain

Langchain

Langgraph

Langgraph

Langsmith

Langsmith

Langfuse

Langfuse

Pinecone DB

Pinecone DB

OpenAi

OpenAi

Google Gemini

Google Gemini

Groq cloud

Groq cloud

I’m almost at the end of the Generative AI course from Coder’s Gyan, and honestly, it’s been a really solid experience. What I liked the most is how Rakesh sir explains things very simple, very clear. Even topics that felt confusing at first started making sense without feeling overwhelming. It’s not just theory either. You actually get to see how things work in real-world use cases like LLMs and RAG, which makes it way more useful. If you’re planning to get into GenAI and don’t want to waste time jumping between random resources, this course is definitely worth checking out.

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Varun Borra

Student

@varunborra

Table of contents

Course Curriculum

Total 22 Modules and 50hr+ of interesting content.

Prerequisites

Course prerequisites

If you’re comfortable with JavaScript and ES6 basics, you're good to go! Knowing some TypeScript, React, or Node.js will definitely help. Don’t worry, we’re starting GenAI from absolute scratch, so you won’t feel lost. No prior experience needed.

Rakesh K

Meet your teacher

Hello. I am Rakesh K, Senior Fullstack Engineer & System Architect.

I believe in learning by doing. My goal is to help you build real-world backend systems while understanding the fundamental principles behind them.

Follow me:

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Get Certified

Accredited and Verified Certificate of Completion

Include the certificate on your CV or resume, or display it on LinkedIn to strengthen your professional profile and credibility.

1.

Work on a Real-World Project Put your skills to the test with a hands-on project that mirrors real industry challenges—perfect for building confidence and experience.

2.

Get Expert Feedback, Not Guesswork: Receive personalized reviews from experienced mentors to help you improve your work and reach a professional level.

3.

Earn a Trusted Certificate Complete the project and earn a certificate recognized by employers—proof of your skills and readiness for real client work.

Course certification

4.8

Loved by many

What our Students feel

Don't just take our word, take theirs. Read what they say about this course.

5 / 5

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.

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Rakshith

Project Engineer @Wipro

@rakshith

5 / 5

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.

Profile pic

Arnab Saha

Associate Consultant @PwC

@arnabsaha

5 / 5

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.

Profile pic

Sparsh Agarwal

Student

@sparshagarwal

4 / 5

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!

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Raj Yadav

Software Developer @Arwasys Infotech Pvt Ltd

@rajyadav

4.9 / 5

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

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Pratik Jadhav

Jr. Software developer @Technfest & Founder @AiXpense (aixpense.in)

@pratikjadhav

4.5 / 5

I’m almost at the end of the Generative AI course from Coder’s Gyan, and honestly, it’s been a really solid experience. What I liked the most is how Rakesh sir explains things very simple, very clear. Even topics that felt confusing at first started making sense without feeling overwhelming. It’s not just theory either. You actually get to see how things work in real-world use cases like LLMs and RAG, which makes it way more useful. If you’re planning to get into GenAI and don’t want to waste time jumping between random resources, this course is definitely worth checking out.

Profile pic

Varun Borra

Student

@varunborra

5 / 5

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.

Profile pic

Raj Mazumder

Blockchain Developer @Pixel Softwares

@rajmazumder

4.7 / 5

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! 🚀

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Mohit Gupta

Backend Developer (Fresher)

@mohitgupta

4.5 / 5

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.

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Sabin Shreshtha

Senior Software Engineer @Novelty Technology

@sabinshreshtha

5 / 5

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!

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Sandip Kurmi

Full Stack Developer @CShare

@sandipkurmi

4 / 5

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.

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Swarup Das

Software Engineer @Fi-Tek

@swarupdas

5 / 5

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.

Prashant Gaikwad

Software developer

5 / 5

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

Harshal Chauhan

Software developer

5 / 5

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 ❤️

Vishal Kumar

Software developer

I feel convinced!

Our graduates work at leading tech companies

amazon
google
swiggy
capgemini
deloitte
HCL
Infosys
TCS
Tech Mahindra
Review

You could easily be here.

If this course helped you in any way — maybe landing a job, gaining confidence, or mastering a tricky concept - consider sharing your story, your experience on Linkedin or Twitter and tag us. Hearing your story in your own voice helps others decide whether this path is right for them.

& personally, they remind me why I love teaching.

FAQ

Frequently Asked Questions

Curiosity Leads to Success! Got questions? That’s a great sign. Some common queries:

codersgyan.com/faq

Is this course suitable for beginners?

Yes, it's absolutely beginner-friendly! We’ll dive deep into Generative AI concepts from scratch—nothing to worry about. You don’t need any prior experience, just basic coding knowledge and curiosity. Plus, you’ll have access to a supportive community where you can ask questions and get your doubts solved anytime.

Instructor profile pic

Rakesh K

What prerequisites or prior knowledge are required for this course?

If you’re comfortable with JavaScript and ES6 basics, you're good to go! Knowing some TypeScript, React, or Node.js will definitely help. Don’t worry—we’re starting GenAI from absolute scratch — so you won’t feel lost. No prior experience needed.

Instructor profile pic

Rakesh K

Which programming language will we use in this course?

We’ll primarily use JavaScript and TypeScript throughout the course. These languages are beginner-friendly and widely used in the GenAI ecosystem, especially for building full-stack AI-powered applications. No need to worry—we’ll guide you every step of the way.

Instructor profile pic

Rakesh K

Are there any hands-on projects in this course?

Yes, absolutely! This course is packed with hands-on projects to help you build real-world Generative AI applications. You'll work on practical, production-grade projects such as: ChatGPT Clone, Perplexity Clone, Company Personal Assistant, Personal Assistant with Google Calendar Integration, Chatbot and many more including two mega projects. These projects are designed to reinforce your learning and give you portfolio-ready AI apps. No prior AI experience needed—just bring your curiosity!

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Rakesh K

Is there a certification upon completing the course?

Yes, you will receive a certificate of completion after finishing the course.

Instructor profile pic

Rakesh K

is there a community support?

Yes, you'll get alumni access to our community where you can continue discussions, share experiences, and network with other backend engineers.

Instructor profile pic

Rakesh K

Is there any discount available for students?

Yes, student discount is available on Single Course Purchase & Annual Membership only! To claim it, just send us an email at [email protected] with proof that you're a student—this could be a student ID, enrollment document, or simply using your .edu email address.

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Rakesh K

Is there a refund policy?

All purchases are non-refundable. Instead, every course gives you free preview lessons and a detailed module breakdown up front, so you know exactly what you're getting before you pay.

Instructor profile pic

Rakesh K

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Do you have any other questions in mind?

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Coder's Gyan

Please reach out to our team at [email protected] or use the chatbot. We are here to assist you!

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Master Generative AI using JavaScript • Coder's Gyan