AI Agent Fundamentals - The report covers AI Agent fundamentals [1] - It differentiates LLM, RAG, and Agents [1] - Agentic design patterns are included [1] - Building blocks of Agents are discussed [1] AI Agent Development - The report details building custom tools via MCP (likely meaning "Minimum Complete Product" or similar) [1] - It provides 12 hands-on projects for AI Engineers [1]

AI Agent Fundamentals - The document covers agent fundamentals, providing foundational knowledge for understanding AI agents [1] - It differentiates LLM, RAG, and Agents, clarifying their roles and relationships in AI systems [1] - Agentic design patterns are explored, offering insights into structuring and organizing AI agents [1] - Building blocks of agents are outlined, detailing the essential components for constructing AI agents [1] Practical Applications - The document includes 12 hands-on projects for AI Engineers, providing practical experience in building AI agents [1] - It covers building custom tools via MCP (likely referring to a specific methodology or platform), enabling customization and extension of AI agent capabilities [1] Resource Availability - A PDF containing all AI Agents posts is available for download, offering a consolidated resource for learning about AI agents [1]