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Microsoft Latest AI Agent Beginner Guide: Framework Selection, Pattern Design, Multi-Agent Build and Production Deployment - Complete Walkthrough

📚Video Course
📂Artificial Intelligence (AI)
🕒Last updated: 09/12/2026
🎯AI
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers
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Description

Microsoft AI Agent beginner guide

Course intro:
This latest Microsoft AI Agent beginner course systematically explains the core knowledge of AI agents. Starting from course orientation, it covers AI agent framework selection, agent design thinking, and dissects key design patterns like tool use, agentic RAG, and planning. It introduces multi-agent systems, agent protocols, context engineering, building agent memory modules, implementing agent self-improvement, and practical points for deploying AI agents to production. It helps learners understand the underlying principles of AI agents and master the full knowledge system of designing, building and deploying AI agents. Suitable for tech enthusiasts entering the intelligent-agent field.

Course outline:
01 Course orientation
02 Which AI agent framework to use
03 How to design a good AI agent
04 What is the agent tool-use design pattern
05 What is agentic RAG
06 How to build an effective AI agent
07 What is the AI agent planning design pattern
08 How to use multi-agent AI systems
09 How AI agents improve themselves
10 How to deploy AI agents to production
11 Using agent protocols (model communication, agent-to-agent, natural-language web)
12 Context engineering for AI agents
13 Agent memory: building self-improving agents

Supporting Study Materials

This course comes with a materials pack. Members receive the access link by email after requesting the course.

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