Learn Leading as a GenAI Engineer
Beginner
Pro
Opening soon
Leading as a GenAI Engineer
Learning notes from a working backend and GenAI engineer (not a manager) on owning AI-assisted work, reviewing code, responsibility for GenAI features, incidents, communication, burnout and leading without a title. Every claim is sourced, and opinions are labelled.
- 8 lessons
- 107 min total
- Quiz in every lesson
What you'll learn
- Apply a written ownership standard to AI-assisted changes
- Use AI coding tools within policy, with data hygiene and verification habits
- Review human and AI-written code with a consistent checklist and SBI feedback
- Ship GenAI features with evals, guardrails, human oversight and a system card
- Run a blameless postmortem and escalate risk clearly
- Communicate estimates, status and decisions as an individual contributor
- Recognise and prevent burnout and know where to find professional help in India
- Mentor, delegate to people and AI agents, and lead through writing without a title
Curriculum
- 1. Owning What You Ship When AI Wrote It The one rule that underpins the course: if your name is on the pull request, you own it. Covers why AI amplifies existing habits, the comprehension debt problem, the 'can I explain every line' test, and a one-page ownership standard you can adopt today. 12 min (completed)
- 2. Using AI Coding Tools Well: Policy, Data, Verification, Skills A practical operating model for AI coding assistants: know your employer's policy, protect data, verify output as untrusted input, keep changes small, and keep your own skills growing. 14 min (Pro lesson) (completed)
- 3. Reviewing AI-Generated Code: A Checklist Adapt Google's code review standard to AI output: same bar, smaller diffs, specific attention to security failure modes, tests that actually test, and review as the scarce resource. 14 min (Pro lesson) (completed)
- 4. Responsibility for GenAI Features: Evals, Guardrails, Privacy, Limits A working engineer's checklist for shipping a GenAI feature responsibly using NIST AI RMF, OWASP, human-oversight ideas from the EU AI Act, India's DPDP Act, and a one-page system card. 15 min (Pro lesson) (completed)
- 5. Incidents and Blameless Postmortems for AI Features How to respond when a GenAI feature leaks data, confidently lies or gets prompt-injected, and how to write a blameless postmortem that produces real fixes. 12 min (Pro lesson) (completed)
- 6. Managing Work and Communication as an IC Estimates as ranges, status that surfaces risk, managing up, owning your 1:1, and writing decisions down, all for an engineer who is not a manager. 13 min (Pro lesson) (completed)
- 7. Stress and Burnout: Recognise, Prevent, Recover, Get Help What WHO means by burnout, Maslach and Leiter's six areas of mismatch, how AI tools can add job demands, evidence-based recovery habits, and where to find professional help in India. Not medical advice. 15 min (Pro lesson) (completed)
- 8. Leading Without a Title: Mentoring, Delegation, Writing A path I am reading about and early practising: leadership without a title through mentoring, sponsorship, glue work and writing, with honest limits on what I can claim. 12 min (Pro lesson) (completed)
Pro pass
Lesson 1 is free to read. Lessons 2 to 8 need a Pro pass, the same pass that unlocks the full interview prep. From Rs 199 for 1 year. One-time payment, not a subscription.
The Pro pass opens soon. Lesson 1 is free to read now; lessons 2 onward unlock with the Pro pass.