Series 2: Agent Development and Tool Use
This series explores building sophisticated AI agents that can use tools and interact with external systems.
Articles in This Series
- Article 71: Introduction to AI Agents and Tool-Using Systems
- Article 72: The Model Context Protocol (MCP): Connecting LLMs to Tools
- Article 73: Building Agents with Function Calling
- Article 74: Creating Multi-Agent Systems and Workflows
- Article 75: Agent Memory and State Management
Series Overview
This series focuses on advanced agent development, covering tool integration, the Model Context Protocol, function calling, multi-agent systems, and sophisticated memory management.
Learning Objectives
By the end of this series, you will:
- Understand AI agents and tool-using systems
- Master the Model Context Protocol (MCP)
- Know how to build agents with function calling
- Be able to create multi-agent systems
- Understand agent memory and state management
Prerequisites
- Completion of Series 1: Application Development Fundamentals
- Strong programming skills
- Understanding of system integration concepts