Free Download Microsoft Agent Framework Build Multi- Agent AI Systems
Published 8/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 44m ) | Size: 1.2 GB
Build production-ready multi-agent systems using Microsoft Agent Framework & AutoGen. Master AI orchestration today.
What you'll learn
Build production-grade AI agents using the official Microsoft Agent Framework, Pydantic state schemas, and deterministic tool-calling workflows. (137/160 charac Orchestrate autonomous multi-agent networks with supervisor routing, peer handoffs, dynamic context isolation, and circuit breakers. (135/160 characters) Connect enterprise APIs, databases, and Python functions with dynamic schema validation, rate-limit retries, and strict timeout handling. (136/160 characters) Migrate legacy AutoGen systems to the Microsoft Agent Framework while integrating OpenTelemetry for enterprise tracing and observability. (139/160 characters)Requirements
Intermediate Python proficiency (familiarity with async/await, type hinting, and basic OOP) plus an active OpenAI API key or Azure OpenAI resource.Description
"This course contains the use of artificial intelligence."
Move beyond chatbot demos and build an AI agent that performs a complete business workflow.
Microsoft Agent Framework gives developers a foundation for creating tool-using agents and controlled agentic workflows. In this hands-on course, you will learn the framework by building one application from beginning to end: an AI-powered dentist appointment system.
You begin with a single agent and controlled business tools. You then develop appointment search and booking capabilities, introduce specialized agent responsibilities, orchestrate a multi-step workflow, maintain structured state, and require human confirmation before consequential actions.
The course also examines AutoGen migration so developers working with earlier Microsoft agent technologies can plan their transition systematically.
Who this course is for
Python developers, backend engineers, and AI architects who want to transition from basic prompt-chain wrappers to robust, deterministic multi-agent systems in production.Homepage
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