Courses

Building AI Agents

Eleven sessions on agents that take real actions: tool calling, the Model Context Protocol, the agent loop, memory, access control, human approval and guardrails, ending in a capstone feature.

Read every session in order. Each one ends with a small project you build and run yourself. Start with Getting Started with AI if you have not taken it.

Part of the guided program Forward-Deployed Engineer.

1. 1. Tool Use and Function Calling
2. 2. Model Context Protocol
3. 3. The Single-Agent Loop
4. 4. Memory Across Turns and Sessions
5. 5. Workflow Orchestration for Long-Running Work
6. 6. Identity and Access for Agents
7. 7. Human-in-the-Loop Approval Workflows
8. 8. Isolation and Account Boundaries
9. 9. Guardrails at the Boundary
10. 10. Security for AI Systems
11. 11. Capstone: Ship a Grounded, Tool-Using Feature

After this course

FreeIntermediate

Taking AI to Production

9 sessions · self-paced

Nine sessions on running AI systems for real: where models run, reference architectures, scaling, cost, observability and audit, ending in a design you defend with decision records.

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TechEazy Consulting training material — not affiliated with or endorsed by OpenAI, Anthropic or any other company named in this course.