Parallel AI Agents Explained ⚡ | Microsoft Agent Framework Orchestration

Описание: In this video, I walk you through Concurrent Agent Execution using Microsoft Agent Framework

📦 Resources & Links:
🔗 Code: https://github.com/Sandesh-hase/Concu...

End to End Project:    • Multi-Agentic AI End-to-End Project| Build...  

Autogen Playlist:    • Agentic AI with AutoGen – From Zero to Pro...  

Azure AI Foundry:Prompt Flow, Finetuning GPT4-o, RAG, LLMOps
: https://www.udemy.com/course/develop-...

Agentic AI Developemnt with Azure & Semantic Kernel Course: https://www.udemy.com/course/agentic-...

Instead of relying on a single AI response, we build a system where multiple AI agents work in parallel — just like a team of experts — and then aggregate their results into a single powerful output.

🔍 What you’ll learn:

What are AI Agents and how do they work

What is Concurrent Orchestration

How to run multiple agents in parallel using Microsoft Agent Framework

How to design agents with different expertise (Research, Marketing, Legal)

How results are collected and aggregated

Real-world use cases of multi-agent systems

⚡ Why this matters:

Faster execution using parallel processing

Better decision making with multiple perspectives

Foundation for building advanced AI copilots & agentic systems

🧑‍💻 Tech used:

Microsoft Agent Framework

Azure OpenAI

Python Async Execution

Multi-Agent Architecture

💡 Use Case Covered:

Launching a new product (Electric Bike) using:

Research Agent 🧠

Marketing Agent 🎯

Legal Agent ⚖️

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