Скачать или смотреть LECTURE 4: Building Multi-Agent AI Systems with CrewAI

LECTURE 4: Building Multi-Agent AI Systems with CrewAI

Welcome to the most exciting part of our Agentic AI Course! Today we're scaling beyond single agents and building powerful multi-agent systems that work together like a professional team.

🎯 WHAT YOU'LL LEARN TODAY:
✅ What multi-agent AI systems are and why they're revolutionary
✅ The 4 critical pillars of multi-agent system design
✅ How to build a practical 2-agent system using CrewAI
✅ Real-world diabetic recipe recommendation system

📋 PREREQUISITES:
• Completion of Lectures 1-3
• Basic Python knowledge
• OpenAI API key configured
• Understanding of single-agent systems

🏗️ THE 4 CRITICAL PILLARS COVERED:
• Role Definition - What is each agent's specific expertise?
• Expected Deliverables - What exact output do you want?
• Context & Background - What information does each agent need?
• Collaboration - How will agents work together?

📚 KEY TAKEAWAYS:
• Multi-agent systems enable complex problem-solving through specialization
• Each agent should have a focused, specific role
• Collaboration patterns are crucial for success
• CrewAI provides powerful orchestration capabilities

🔔 SUBSCRIBE : for advanced AI tutorials and hit the bell!
👍 LIKE if you're excited about multi-agent AI systems!
💬 COMMENT your multi-agent experiments - I respond to everyone!

Github link / code files : https://github.com/NeuralNetworkpro/C...
📧 CONTACT:
• Email: [email protected]
• Website: https://helloamit.in


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