Building AI Agents with Real APIs training course

What makes an agent different from a chatbot:

planning, memory, and tool use explained with live examples showing the difference in real output

API setup lab: keys, SDKs, environment configuration, and your first completion call running in under 30 minutes

Tool use deep dive: defining functions, passing schemas, and handling model-initiated calls with worked examples

Building the agent loop: how to parse model decisions and route to the right tool at each cycle of execution

Error handling workshop: timeouts, token limits, malformed responses, and fallback strategies tested against a live system
 

Data integration lab: agent reads from a database, calls an external API, and writes a structured result end to end

Microservice wiring: wrapping your agent behind a REST endpoint with authentication and rate limiting in place

Observability setup: structured logging, trace IDs, and a simple monitoring dashboard showing agent activity

Edge case testing: prompts designed to break your agent and practical techniques to harden against them

Deployment lab: containerise, push, and run your agent in a staging environment with health checks active