Mastering Modern AI Agent Frameworks
Welcome to a comprehensive guide on modern AI agent frameworks. This section delves into LangGraph, AutoGen, CrewAI, and Semantic Kernel, explaining how they empower multi-step workflows, memory management, and intelligent orchestration. Discover architectural patterns, compare framework capabilities, and explore real-world projects to build sophisticated AI solutions.
Chapters
- 01 Advanced Tooling for AI Agents and External API Integration 19m
- 02 AutoGen: Crafting Conversational and Collaborative Agent Teams 20m
- 03 Understand LLMs, Tools, and Memory for AI Agent Development 13m
- 04 CrewAI: Empowering Agents with Roles, Tasks, and Collective Goals 16m
- 05 Debugging, Testing, and Monitoring: Building Reliable Agent Systems 34m
- 06 Choosing the Right AI Agent Framework for Your Projects 36m
- 07 LangGraph: Building State Machines for Dynamic Agent Workflows 20m
- 08 Architect Multi-Step AI Agent Workflows with Patterns 13m
- 09 Persistent Memory & Context Management: Remembering the Past 22m
- 10 Project: Building an Automated Financial Analysis Assistant 18m
- 11 Semantic Kernel: Skills, Planners, and Enterprise AI Integration 16m
- 12 Unveiling AI Agents: The Next Frontier in Application Development 12m