Learn AI in 30 days, built for every job

Yes, if learning AI means understanding how it works, using it well in your job and building small real projects. Each day takes 20 to 90 minutes depending on your track. That adds up to 10 to 45 focused hours. Expert depth takes longer, and the last week shows you exactly where to go next.

A real-life story from cricket, cinema or food, a simple explanation, an interactive visual you can play with, a short Peter and Tony conversation, how it shows up at work, one task to try today, key takeaways and a three-question quiz.

General AI is how AI works and how to use it well. AI Engineering is building with large language models: APIs, RAG, agents, MCP and evals. Physical AI is AI in the real world: robots, sensors and computer vision. Applied AI is AI inside your own role, like finance, sales or HR.

Physical AI is AI that senses and acts in the physical world, inside robots, self-driving vehicles, drones and smart factories. Every track includes it, because it is one of the next big waves after generative AI.

Yes. Every lesson starts with idea cards: five to seven picture cards with very little text. Press Listen and the cards read themselves out and move on by themselves. The animations also come with music and sound effects, which you can switch off from the speaker button at the top.

Pick the one closest to your job today. There are 12 tracks: Fresher, Software Engineer, Data Analyst, Data Engineer, Data Scientist, Product Manager, Founder, Finance, Marketing, Sales, HR, and Operations and Others. You can switch tracks any time and your progress on each is saved separately.

Only for the technical tracks. Software Engineer, Data Engineer and Data Scientist assume you code. Freshers learn just enough Python inside the course. Founder, Product Manager, Finance, Marketing, Sales, HR and Operations need no coding at all.

Peter Pandey and Tony Sharma are the characters from Codebasics videos. Peter is the curious learner who solves problems with data and AI. Tony is the business head who asks the practical questions: will this save money, and can we trust it?

Yes. All 12 tracks, every lesson, every interactive visual and every quiz on this page are free.

Log in with your free Codebasics account to start. Your completed days, quiz answers and streak are saved to your account, so they follow you to any device.

Codebasics, the team behind one of India's most followed data and AI channels on YouTube with 1.5M+ subscribers and 747K+ learners. Codebasics was founded by Dhaval Patel, who worked at NVIDIA and Bloomberg, and Hemanand Vadivel, who has over 12 years in the data industry.

Go deeper in the area you enjoyed most. Codebasics offers courses and bootcamps in data analytics, data engineering and AI engineering, and AI Pro for professionals who want to keep using AI at work.