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🏗️ Foundations

Core concepts and theoretical foundations of agentic AI systems.

🔧 Implementation

Hands-on development and coding with modern frameworks.

🚀 Advanced Topics

Cutting-edge technologies and research-level concepts.

📊 Strategy & Leadership

Organizational transformation and AI strategy development.

🧪 Labs & Practice

Hands-on laboratories and practical exercises.

🔬 Research

Latest research developments and frontier topics.

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Search Tips

Use the search bar above to quickly find specific topics:

• Framework names: "LangChain", "Pydantic AI", "OpenAI Swarm"
• Concepts: "multi-agent", "reflection", "tool use"
• Technologies: "MCP", "autonomous agents", "enterprise"
• Methods: "fine-tuning", "RAG", "optimization"

Course Pathways

For Beginners

1. Start with AI Systems for foundations
2. Move to Agent Development for hands-on coding
3. Try Labs for practical experience

For Practitioners

1. Jump to Agent Development for implementation
2. Explore Modern AI Frameworks for latest tools
3. Check Labs for advanced techniques

For Leaders

1. Begin with AI Strategies for leadership insights
2. Review AI Systems for technical understanding
3. Explore Enterprise Platforms in Modern Frameworks

For Researchers

1. Start with Frontier Research
2. Dive into Advanced Labs
3. Explore cutting-edge Modern AI Frameworks

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