Generative AI Course (Hindi + English) by Krish Naik

About this course

Krish Naik's Generative AI course is a comprehensive Hindi-English journey through the hottest area of AI today — from large language models and prompt engineering to building production-ready systems with LangChain and RAG. Over 35 hours of hands-on content, you'll move beyond theory and build real projects that solve practical problems. Krish's reputation for breaking down complex AI concepts into digestible lessons makes this ideal if you want to go deep without getting lost in math.

What you'll learn

• How large language models (LLMs) work under the hood and why they're transforming AI applications
• Prompt engineering techniques to extract maximum value from ChatGPT, GPT-4, and open-source models
• Building intelligent document search and Q&A systems using Retrieval-Augmented Generation (RAG)
• Fine-tuning LLMs on custom data to adapt them for domain-specific tasks
• LangChain fundamentals for chaining models, memory, and tools into coherent applications
• End-to-end project workflows: from ideation to deployment and monitoring
• Practical debugging and optimization techniques for generative AI systems

Who this is for

You're a developer, data professional, or career-switcher ready to move beyond ChatGPT tinkering and build real generative AI systems. You have some programming experience (Python is helpful), but you don't need advanced machine learning knowledge — Krish meets you where you are.

• Software engineers — add generative AI capabilities to your existing projects and understand how to integrate LLMs into production applications
• Data professionals and ML enthusiasts — master RAG, fine-tuning, and LLM orchestration without waiting for research papers to explain everything

Prerequisites

Basic Python programming skills and familiarity with APIs. No deep machine learning experience needed — Krish covers the AI-specific concepts from the ground up. If you're comfortable reading and writing Python scripts, you're ready to start.

Why this matters for Indian learners

India's AI talent gap is real. Companies like Google India, Microsoft, Amazon, and dozens of Indian startups are actively hiring generative AI engineers and specialists — and the salaries reflect the demand. By mastering LLMs and RAG systems now, you're positioning yourself for roles that are genuinely scarce in the Indian market. The bilingual approach (Hindi + English) also means you can learn at your own pace without language friction, a huge advantage for students and working professionals juggling other commitments.

Frequently asked questions

Is this course really free?

Yes, completely free. It's a YouTube playlist with no paywalls or hidden charges. You watch at your own pace, rewind, take notes — all without spending a rupee.

How long will it take to complete?

The course is about 35 hours of video content. If you dedicate 5–7 hours per week (mixing viewing and hands-on coding), you'll finish in 5–7 weeks. Many learners go slower to really absorb the projects; that's fine.

Will I get a certificate?

No formal certificate is offered. But you'll have real projects in your portfolio — often more valuable to employers than a certificate. Keep your code on GitHub and showcase what you build.