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Agentic AI and AI Agent Courses

4 programs in this track. Every one of them runs in your browser.

An AI agent is a model that can take steps on its own: it plans, calls tools, reads the results and decides what to do next. Agentic AI is the wider idea of building systems that work this way. Most of the hard parts are practical: what the agent is allowed to touch, how you check its work, and what happens when it gets stuck.

There are four courses here. Build AI Agents with Claude Code has 15 hands-on projects. AI Agent Building with Stories is the gentler start and needs no code. How to Become an AI Agent Engineer is the career route for developers, and Ace the AI Agent Interview prepares you for agent design interviews with 15 cases.

See the full catalogue
Ace the AI Agent Interview: 15 Cases with the A.G.E.N.T. Framework
AI AgentsIntermediate

Ace the AI Agent Interview: 15 Cases with the A.G.E.N.T. Framework

Build AI Agents with Claude Code: 15 Hands-On Cases
AI AgentsIntermediate

Build AI Agents with Claude Code: 15 Hands-On Cases

AI Agent Building with Stories
AI AgentsBeginner

AI Agent Building with Stories

How to Become an AI Agent Engineer
AI AgentsIntermediate

How to Become an AI Agent Engineer

Common questions

What is the difference between an AI agent and agentic AI?

An AI agent is one system that plans and uses tools to finish a task. Agentic AI is the general approach of building software that way, often with several agents working together.

Do I need to code to learn AI agents?

Not for AI Agent Building with Stories, which uses no code. The other three assume you can run commands and read code, and Claude Code for Absolute Beginners covers that if you can't yet.

How much do these courses cost?

You don't pay per course. Every course on the site is included in one plan, and the current price for India is on the plans page.

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