Course Overview
This course teaches Python/Django developers how to build autonomous AI agents that operate as AI employees, handling customer support tasks with multi-agent collaboration, fraud assessment, and decision making without human intervention. Students will build a complete AI-powered customer support system for a fictional company, including a support agent, manager agent, risk agent, and a real-time streaming dashboard, using Django, Claude API, RAG with ChromaDB, and LangChain.
Key Takeaways
- Build autonomous AI agents from scratch capable of multi-agent orchestration.
- Implement Retrieval-Augmented Generation (RAG) with ChromaDB to provide agents access to real documents to prevent hallucinations.
- Develop a live streaming dashboard to monitor agent activity and decisions in real time.
- Convert Django ORM queries into AI tools to empower agents with existing database skills.
- Create a production-ready multi-agent customer support system end to end.
- Understand the agent loop architecture and how to build AI agent frameworks from the ground up.
Prerequisites
- Basic to intermediate Python knowledge.
- Basic Django experience including models, views, URLs, and templates.
- No prior AI or machine learning experience is required.
- An Anthropic API key (new accounts may receive free credits sufficient to complete the course).
Target Learners
- Django developers interested in adding Agentic AI capabilities to their skill set.
- Python developers aiming to build real AI-powered applications from scratch.
- Anyone seeking to future-proof their career by learning in-demand AI development skills for 2026 and beyond.
Welcome to the Course
4:00
Project Demo — What You Will Build
9:16
How To Get The Most Out of This Course
4:56
Before You — Why This Section Matters
0:33
What is an AI Agent?
7:21
What is Agentic AI?
4:03
What is a Tool?
8:06
The Agent Loop
6:02
Quick Note — About the Course Rating
0:31
AI Agent Frameworks
7:57
Where Agentic AI is Being Used
6:26
Why Django for Agentic AI?
6:32
Resources & Links
0:19
Course Update — Current Status
0:21
Setting Up the Django Project
8:36
Installing MySQL Server
4:32
Configuring the MySQL Database
13:53
Creating the Product Model
7:14
Creating the Order Model
10:57
Creating the Refund Request Model
9:13
Seeding Demo Data into the Database
10:02
Admin Customization
7:43
Login Page
11:26
Orders List Page
7:47
Login Required Decorator and Logout Feature
6:04
Order Detail Page
12:25
Chatbox Creation with Bootstrap
9:48
Chatbox Creation with JavaScript and CSS
17:06
Show Chat Function on Click
6:24
Storing Secret Information
10:33
Setup GitHub
8:24
AI Support Agent Flow
5:24
Support App with Conversation and Message Models
11:44
Creating AgentLog Model
8:17
AI Agent Tools Overview
5:01
Creating Tool — get_order_details
10:52
Creating Tool — get_refund_history
10:14
Creating Tool — check_delivery_status
9:45
Push to GitHub
1:11
Agent Engine Overview
7:15
Create Claude API
4:49
Test Run Claude API
8:14
Initializing Anthropic Client
6:45
Component 1 — Support System Prompt
3:58
Component 2 — Tool Schemas
8:00
Component 3 — Execute Tool Function
4:50
Send Message from Frontend to Backend
15:49
Get Response from Backend
5:37
Chatbox Optimization with JavaScript
15:40
Storing Conversation Messages
10:22
Component 4 — run_support_agent Function
17:19
JavaScript Bug Fixing
5:44
Providing User and Order Context to Agent
4:42
The Agent Loop
29:25
Loading Previous Messages
13:59
Manager Agent Overview
3:43
run_manager_agent and System Prompt
12:48
Support Tools and Execute Manager Agent
13:28
Push to GitHub
1:02
Access Files
No pi required.
Free
Course files
1 file package
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Full Pack
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