LLM Zoomcamp (DataTalksClub)

About this course

LLM Zoomcamp is DataTalksClub's hands-on, free course designed to teach you how to build production-ready applications with Large Language Models. You'll go beyond prompt engineering to master Retrieval-Augmented Generation (RAG), vector databases, evaluation techniques, and monitoring systems — the real-world skills companies need when deploying LLMs at scale.

What you'll learn

• Build RAG systems that combine LLMs with custom knowledge sources for accurate, grounded answers
• Work with vector databases and semantic search to power intelligent retrieval pipelines
• Evaluate LLM outputs systematically using metrics and frameworks that catch errors before production
• Monitor and measure LLM application performance in real-world scenarios
• Design prompts and systems that handle edge cases and fail gracefully
• Implement best practices for cost, latency, and quality across your LLM stack
• Move from experimental notebooks to deployable, maintainable applications

Who this is for

If you're a developer, data engineer, or AI enthusiast ready to move beyond chat interfaces and build actual LLM systems, this course is your launchpad. You'll thrive here if you're comfortable with Python and want to understand the engineering side of AI — not just the theory.

• Software engineers — level up your AI skill set and become the go-to LLM systems expert on your team
• Data engineers — learn to architect data pipelines that feed knowledge to language models efficiently
• AI enthusiasts and self-taught learners — gain the production skills that separate hobbyists from professionals

Prerequisites

You should be comfortable with Python and basic command-line work. Familiarity with APIs and JSON is helpful but not required. No prior machine learning or LLM experience needed — the course teaches you from practical foundations.

Why this matters for Indian learners

Indian tech companies — from startups to enterprises — are racing to integrate LLMs into products. LLM engineers and RAG system builders command premium salaries in Bangalore, Hyderabad, and Pune, and demand far outpaces supply. By mastering these skills, you're preparing for roles that are actively hiring across Indian AI startups, consulting firms, and product companies.

Frequently asked questions

Is this course really free?

Yes — completely free. No hidden fees, no paid upsells. DataTalksClub offers this as a community resource because they believe knowledge should be accessible.

How long will it take to complete?

The course is structured for about 60 hours of total time investment. Most people spend 8–10 hours per week, so you're looking at a 6–8 week commitment if you go steady. You can move faster or slower based on how deep you dive into projects.

Will I get a certificate?

This course doesn't offer a formal certificate of completion. However, you'll build real projects for your portfolio — and a working RAG system or LLM evaluation framework in your GitHub is often more valuable to employers than a certificate.