Part 2: Agentic AI | Becoming an AI-First Company

📄️ Lesson 8: Tool Use & Function Calling

Give LLMs real capabilities: call APIs, query databases, and build agents that can take actions in the world.

Model Context Protocol: A standard for connecting LLMs to tools and data sources across any application.

Build intelligent agents with LangChain's battle-tested abstractions for tools, memory, and orchestration.

Build production-reliable agents with Pydantic AI's type-safe approach to inputs, outputs, and tool definitions.

Build complex agent workflows with cycles, conditional branching, and persistence using LangGraph's graph-based architecture.

Orchestrate teams of specialized agents using role-based (CrewAI) and conversational (Autogen) collaboration patterns.

Deploy high-performance agents with Agno's unified framework, runtime, and control plane for enterprise-grade agentic systems.

Debug, trace, and optimize agentic systems with Arize Phoenix's open-source observability platform.