Generative AI Full Course

About this course

This 30-hour mega-course from freeCodeCamp dives deep into generative AI, covering everything from understanding Large Language Models (LLMs) to building, fine-tuning, and deploying real applications. You'll work hands-on with LangChain, one of the most popular frameworks for building LLM-powered applications, and learn practical techniques for adapting pre-trained models to your specific needs.

freeCodeCamp's reputation for rigorous, project-based learning means you won't just watch lectures—you'll build things that work.

What you'll learn

• How Large Language Models work under the hood—tokenization, embeddings, attention mechanisms, and what makes them "generative"
• Build and chain LLM applications using LangChain to create conversational AI, question-answering systems, and data pipelines
• Fine-tune pre-trained models on your own data to customize them for specific domains or tasks
• Deploy generative AI models to production, handling real-world concerns like scalability, latency, and cost
• Understand prompt engineering techniques to get better results from existing models without retraining
• Work with popular APIs and frameworks: OpenAI, Hugging Face, and other industry-standard tools
• Debug and optimize your AI applications for performance and reliability

Who this is for

If you're eager to go beyond ChatGPT and actually build with AI, this course is for you. You'll thrive here whether you're starting a tech career, upskilling for an AI role, or curious about the technical foundations behind the AI tools reshaping India's tech landscape.

• Software engineers and developers—level up from building traditional apps to shipping AI-powered products that create competitive advantage
• Data scientists and machine learning practitioners—bridge from model training to production-ready generative applications
• Tech entrepreneurs and founders—understand the capabilities and limitations of LLMs so you can build smarter products
• Career switchers and students—gain practical, portfolio-ready skills in one of tech's hottest domains

Prerequisites

You should be comfortable with Python programming—loops, functions, libraries, that kind of thing. Familiarity with APIs and basic command-line usage helps. You don't need a PhD in math or prior ML experience; the course builds up the conceptual knowledge you need as you go.

Why this matters for Indian learners

Generative AI skills are becoming table stakes for tech roles in India. Startups in Bangalore, Delhi, and Mumbai are aggressively hiring engineers who can build with LLMs, and salaries for AI engineers in India have jumped 25–40% in the last year. Whether you're aiming for placements at companies like TCS, Infosys, or newer AI labs, or launching your own venture, hands-on competency with LangChain and model deployment is a direct path to higher-paying roles.

This course gives you the practical toolkit to stand out—not just understand generative AI in theory, but ship it.

Frequently asked questions

Is this course really free?

Yes, completely free. The course is hosted on YouTube, and all the tools and frameworks you'll use (Python, Hugging Face, LangChain) are open-source and free to download. You'll need a free account with some services like Hugging Face, but there's no paywall on the course itself.

How long will it take to complete?

The course is 30 hours of video. If you spend 5–7 hours a week, you'll finish in 5–6 weeks. That said, learning generative AI isn't passive—you'll want time to code alongside the videos and experiment. Budget extra time for your own projects and debugging.

Will I get a certificate?

No formal certificate is issued. But the best credential is what you build—projects you complete during this course can go straight into your portfolio and GitHub, which employers care about much more than a badge.