Agentic AI Playbook
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Learning Modules

Step-by-step lessons to master Agentic AI

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Introduction to Agentic AI

Learn the basics of Agentic AI and how it differs from traditional AI systems

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What are AI Agents?

Understanding what AI agents are and how they work

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How agents think

Understanding reasoning, memory, and decision-making in AI agents

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Building with CrewAI

Hands-on guide to building multi-agent systems with code examples

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Tools & Function calling

Connect agents to APIs, browsers, databases, and external tools

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Deployment

Learn how to host and deploy your AI agents on various platforms

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Safety & Ethics

Responsible AI development, safety considerations, and ethical practices

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Careers

Explore career paths, roles, and roadmap in Agentic AI

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Advanced CrewAI

Complex multi-agent patterns, hierarchical crews, and advanced workflows

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Memory & State Management

Implementing persistent memory and state management in agents

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Testing & Debugging

How to test agents, debug issues, and ensure reliability

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Security Best Practices

Secure your agents: API key management, input validation, and security

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ยฉ 2025 Agentic AI Playbook - Learn by Building