Microsoft Agent Framework Tutorial 2025 - Build AI Agents with Python from Scratch | Complete Course

🧪FREE Labs for Microsoft Agent Framework: https://kode.wiki/4i6Thku

Master the Microsoft Agent Framework (MAF) in this comprehensive beginner-friendly tutorial. Build production-ready AI agents from scratch using Python and OpenAI's GPT models. This complete course includes hands-on labs, real-world projects, and everything you need to create intelligent AI agents.

🎯 What You'll Learn:
✅ Microsoft Agent Framework fundamentals
✅ Building AI agents vs traditional chatbots
✅ Memory and context management
✅ Function tools and external API integration
✅ Multi-agent workflows and orchestration
✅ Production-ready agent implementation

🚨Start Your AI Journey with KodeKloud: https://kode.wiki/4qsrspX

⏱️ Timestamps:
0:00 - Introduction to Microsoft Agent Framework
1:06 - Problems with Current AI Agents
3:21 - Introducing Microsoft Agent Framework
5:30 - MAF Agent Classes Overview
6:43 - Creating Virtual Environment in Python
9:11 - Building Your First Agent with MAF
14:37 - Chatbots vs AI Agents Explained
18:20 - Installation and Setup
22:30 - Setting Up Environment Variables
24:40 - Hello World Agent Demo
30:15 - Agents Without Memory Problem
33:45 - When Memory is Too Much
36:20 - Lab 1: Build Your First AI Agent
42:10 - Streaming Agent Responses
46:30 - Customizing Agent Instructions
51:40 - Lab 2: Agent Customization
56:50 - Memory and Context Management
1:01:15 - Session Level Memory (Threads)
1:06:30 - Long-term Memory Implementation
1:11:20 - Lab 3: Memory and Context
1:16:45 - Function Tools Introduction
1:24:50 - Conclusion

🔧 Hands-On Labs:
This course includes interactive coding challenges that open in your browser. Get instant feedback and validate your code as you learn.

🧪FREE Labs for Microsoft Agent Framework: https://kode.wiki/4i6Thku

💻 Prerequisites:
- Python 3.10 or higher
- Basic Python knowledge (helpful but not required)
- OpenAI API key or KodeKey account

Perfect for beginners, Python developers, and anyone building LLM-powered applications. Follow along with free interactive labs and build a real-world travel assistant that remembers your preferences, checks live weather conditions, and plans your entire trip autonomously.

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