AI Agents Handbook: Complete Guide from Basics to Advanced
Learn how to build AI agents with this practical, easy-to-understand handbook.
What's Inside:
• AI agents fundamentals and architecture
• Memory types and RAG
• Vector databases and embeddings
• Tool calling and API integration
• LangChain, AutoGen and CrewAI
• Multi-agent systems and communication
• Building a real-world AI Research Assistant
• Python code examples and project implementation
• Deployment, security and cost optimization
• Performance evaluation and future trends
Who Is This For?
Beginners, students, developers, AI enthusiasts and professionals who want to understand AI agents and explore practical implementations.
What You Will Get:
A digital PDF handbook containing structured notes, diagrams, code examples, workflows and a complete project walkthrough.
Start learning AI agents and build your foundation in agentic AI today!