Learning path · Advanced builders

Production AI Builder

A guided path from agent architecture and tools to evaluation, observability, security, and durable execution.

Staff+ engineers and technical leaders shipping agentic systems.

6 courses 5 hr 56 min total Progress saved on this device
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What you’ll work on

  • Choose production-ready agent and tool patterns
  • Measure reliability and diagnose failures
  • Build security and durable execution into the system

Your course order

  1. 01

    AI Agents in Production

    Agent architectures, tools, memory, guardrails, evaluation, cost and observability, with case studies of agents running in production.
    73 min read · Jun 29, 2026 10 modules 0 of 10 modules complete
  2. 02

    MCP and the Agentic Tooling Stack

    The Model Context Protocol and what sits around it: primitives, transports, tool design, building servers, multi-agent orchestration and security.
    32 min read · Jun 30, 2026 8 modules 0 of 8 modules complete
  3. 03

    AI Evals and Measurement

    Eval design, datasets, LLM-as-judge, offline and online testing, and how to read results without fooling yourself.
    35 min read · Jun 30, 2026 8 modules 0 of 8 modules complete
  4. 04

    Agent Tracing and Observability

    Traces, spans and metrics for agent systems, and how to debug and tune them in production.
    46 min read · Updated Oct 14, 2026 8 modules 0 of 8 modules complete
  5. 05

    Securing Agents — Prompt Injection, Sandboxes, Egress and Credentials

    The lethal trifecta, prompt-injection defences that hold up, least-privilege tools, sandbox egress, agent credentials and kill switches.
    71 min read · Oct 13, 2026 8 modules 0 of 8 modules complete
  6. 06

    Durable Execution for Agents — Temporal, Vercel Workflows, Inngest, Restate and DBOS

    Five durable-execution platforms compared for agent workloads from their own docs and pricing, with crash recovery, approval gates and spending caps.
    99 min read · Oct 14, 2026 8 modules 0 of 8 modules complete
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