Learning path · Experienced leaders

AI Engineering Leader

A guided path through engineering strategy, AI-native delivery, team design, evaluation, and governance.

Engineering directors, VPs, and CTOs navigating AI adoption.

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

  • Shape an AI-native engineering strategy
  • Evaluate changes to teams and delivery workflows
  • Set practical measurement and governance guardrails

Your course order

  1. 01

    Engineering Leadership at Scale

    Managing managers, org design, hiring, performance, culture, planning, reorgs, remote teams and developer experience.
    73 min read · Jun 29, 2026 10 modules 0 of 10 modules complete
  2. 02

    The AI-Native SDLC, Audited

    Anthropic's playbook for running each stage of software delivery with agents, checked against METR, DORA 2025 and other published evidence.
    40 min read · Updated Oct 2, 2026 10 modules 0 of 10 modules complete
  3. 03

    The Agent-Era Engineering Org — Team Shape, Ladders and Reviews

    Reorganising engineering when agents write most of the code: the unit of work, reviewer capacity, junior roles and ladders, hiring, metrics, and a 90-day plan.
    57 min read · Oct 13, 2026 8 modules 0 of 8 modules complete
  4. 04

    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
  5. 05

    The AI Compliance Map for a US SaaS Company

    Which AI laws bind a US SaaS company with EU users and US enterprise customers as of October 2026: the EU AI Act, the federal preemption fight, Colorado, California and Texas.
    100 min read · Oct 14, 2026 8 modules 0 of 8 modules complete
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