🤖AI Agents for Developers
Learn to build, test, and deploy AI agents to production.
What you'll learn
- Understand what AI agents are and how they differ from chatbots
- Master agent architectures: ReAct, tool use, planning
- Build a functional agent with Claude API and Anthropic SDK
- Implement tool use and function calling
- Understand multi-agent systems and orchestration
- Learn to test and evaluate agents systematically
- Deploy an agent to production with monitoring
Who this is for
Developers with experience using AI tools who want to build their own agent systems or use existing agentic tools more effectively.
Prerequisites
Syllabus
What Are AI Agents
A chatbot answers questions. An agent completes tasks. Understand the fundamental difference and why 2026 is the year of agents.
Agent Architectures: ReAct, Tool Use, Planning
Three fundamental architectures powering modern AI agents. Understand how they work and when to use each.
Building an Agent with Claude API
Build a functional AI agent from scratch with the Anthropic SDK. Agentic loop, system prompts, response handling.
Tool Use and Function Calling in Depth
Tool design, input validation, error handling, parallel calls, and advanced patterns for production agents.
Multi-Agent Systems
From one agent to a team of agents. Orchestration, inter-agent communication, frameworks, and architectural patterns.
Testing and Evaluating Agents
How do you test non-deterministic systems? Evaluation frameworks, quality metrics, regression tests, and benchmark strategies.
Deploying Agents to Production
From prototype to production system. Monitoring, error handling, cost management, scaling, and security.
We also offer live workshops and custom training for teams.
Learn more about team training