DevOps / Platform Engineer
3 courses
ยท ~11 hoursยท 2 certifications available
phase 1 โ Understand tool calling and security
Learn monitoring, guardrails, and prompt injection defence for AI systems.
The security and production section is critical โ it covers monitoring, guardrails, and prompt injection defence for AI systems you'll operate.
4 sections
ยท 10 lessons
- [ ] Foundations (2 lessons)
- [ ] How Models Decide (2 lessons)
- [ ] Advanced Patterns (3 lessons)
- [ ] Security and Production (3 lessons)
[โ start course]
phase 2 โ Master context as infrastructure
Learn the systems model that maps AI concepts to infrastructure.
Context windows are memory. Tool calls are I/O. This course teaches you the systems model that maps to infrastructure concepts you already know.
8 sections
ยท 25 lessons
- [ ] Tokens and Inference (2 lessons)
- [ ] The Real Size of Your Context Window (4 lessons)
- [ ] Anatomy of the Messages Array (5 lessons)
- [ ] Dynamic Allocation: Tool Calling (2 lessons)
- [ ] The Ralph Wiggum Loop (3 lessons)
- [ ] Sub-Agents: Managed Runtimes for AI (3 lessons)
- [ ] Message Passing: The Erlang OTP of AI (3 lessons)
- [ ] Context Management Strategies (3 lessons)
certification: Certified Context Engineer
[โ start course]
phase 3 โ Understand agent architecture
Build what you're deploying. Debug production issues.
Build what you're deploying. Understanding agent internals helps you debug production issues, set resource limits, and design health checks.
4 sections
ยท 10 lessons
- [ ] Getting Started (2 lessons)
- [ ] The Conversation Loop (2 lessons)
- [ ] Adding Tools (3 lessons)
- [ ] Making It Real (3 lessons)
certification: Certified AI Agent Builder
[โ start course]
key terms
Tool CallingยทContext EngineeringยทAgentยทSystem PromptยทStreamingยทAgent Heartbeat
related reading
โ Pi: the architecture of an AI coding agent