Build AI Employees with Django - Agentic AI for Developers

About this course

Are you a Python/Django developer who wants to stay ahead in the AI era?

This course teaches you how to build real AI Employees — autonomous AI agents that work for your business 24/7, handle customer queries, collaborate with each other, assess fraud risk, and make decisions — all without human intervention.

What You Will BuildA complete AI-powered customer support system for a fictional AC company called CoolBreeze AC. By the end of this course, you will have built:

Maya — an AI support agent that handles customer queries, checks orders, verifies delivery status, and decides when to escalateA manager agent that reviews escalated cases and makes refund decisionsA risk agent that assesses fraud patterns and gives the manager a verdictA RAG system that gives agents access to real company documents and policies — no hallucination, real answersA live streaming support dashboard where staff can monitor every agent decision in real time

Full deployment on Railway — your system live on a real URL

What You Will Learn

How Agentic AI actually works — the agent loop, tool calling, and decision making under the hood

How to turn Django ORM queries into AI agent tools

How to write effective tool schemas that guide an LLM's decision making

How to build multi-agent systems where agents collaborate and hand off tasks autonomously

How to implement RAG using ChromaDB and pypdf so agents answer from real company documents

How embeddings and vector similarity search work

How to stream live agent activity to a dashboard using Server Sent Events (SSE)Prompt engineering techniques for controlling agent behavior and to

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