Forward Deployed: Applied AI for PMs, BAs, QA, and Delivery Leads

Karthik V

Applied AI educator · for the rest of us

The AI project playbook for PMs, BAs, and QA already in the room.

Your team just got asked to scope an AI feature. Engineering wants requirements. Leadership wants a demo. Your QA team wants to know how to test it. And nobody has a playbook. You're a PM, BA, QA engineer, or delivery lead and you're being asked to own decisions that didn't exist in your job description two years ago. The problem isn't knowledge. It's framework. User stories don't work for probabilistic systems. Test plans break on outputs that change every run. Sprint "done" criteria don't cover an eval phase. And when something ships broken, nobody has the vocabulary to describe what went wrong. This course gives you the framework the AI Development Lifecycle (ADLC) and the production tools to apply it on your real use case. Run a suitability assessment before engineering starts. Write a Specify document that constrains every agent. Build an eval program, score it in EvalForge in 30 seconds, and make a data-backed go/no-go call. Dispatch agents with Grill Skill Controlled by your own guardrails. Configure governance in the Admin Console. Leave with a complete portfolio built on your own project. No code. No ML background required.

What you’ll learn

Go from "nodding along in AI meetings" to the person who writes the spec, runs the eval, and owns the go/no-go decision.

  • Complete ADLC Phase 1: write a problem statement, score 5 suitability signals, and record an AI vs. not-AI verdict with rationale.

  • Map your process in 3 lanes confident (AI acts), uncertain (AI flags), out-of-scope (AI stops) and identify your primary failure mode.

  • Fill all 5 fields in ADLC Framing: Obligation, Guardrails, Handoff Trigger, Eval Threshold, and Fallback written as agent-readable constra

  • Check your agent-readability score per field Agent-ready / Needs precision / Too vague and refine until Grill Skill can enforce every ru

  • Define an orchestrator role and executor agents with explicit scope boundaries and a "not responsible for" clause per agent in the ADLC tool

  • Set the handoff protocol and stopping conditions Grill Skill uses to decide which agent to dispatch and when to stop.

  • Build a golden set with 4 coverage types typical, edge, adversarial, out-of-scope and design a weighted judge rubric in EvalForge.

  • Run 20 cases in EvalForge on Groq in 30 seconds, read the score distribution, and log a GO / COND / NO-GO verdict in the ADLC Eval phase.

  • Describe a task in plain English. Grill Skill reads your Specify doc, checks every guardrail, and blocks requests that violate your spec.

  • Read the structured TRACE output from every agent session in the Admin Console guardrail events, handoff triggers, and agent steps logged.

  • Complete ADLC Phase 6: 8-item readiness checklist, 3 observability metrics, a 6-type incident playbook, and Admin Console governance config.

  • Translate your existing experience into Forward Deployed language using the skills matrix synthesized from 100+ real FDE and FD PM jobs

  • Write and deliver a 5-minute executive brief problem, Specify doc, eval score, verdict, monitoring plan that a skeptical VP will trust.

Learn directly from Karthik

Karthik V

Karthik V

Applied AI educator · Forward Deployed delivery

See all products from Karthik

Who this course is for

  • PMs and BAs writing requirements for AI features and finding that user stories don't work for probabilistic systems.

  • QA engineers and delivery leads whose test plans and sprint "done" criteria break the moment an AI feature enters the sprint.

What's included

Karthik V

Live sessions

Learn directly from Karthik V in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to. Access to Forward deployed Studio Access to Eval Forge

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

4 live sessions • 8 lessons • 4 projects

Week 1

Aug 8—Aug 9

    WEEK 1 — INTAKE TO PROCESS MAP

    3 items

    Aug

    8

    Kickoff & Live Session 1 — Studio Tour + Process Map

    Sat 8/84:00 PM—6:00 PM (UTC)

Week 2

Aug 10—Aug 16

    Aug

    15

    Live Session 2 — Dev Specs Workshop + Architecture Review

    Sat 8/153:00 AM—4:00 AM (UTC)

    WEEK 2 — ARCHITECTURE TO DEV SPECS

    3 items

Schedule

Live sessions

1-3 hrs / week

    • Sat, Aug 8

      4:00 PM—6:00 PM (UTC)

    • Sat, Aug 15

      3:00 AM—4:00 AM (UTC)

    • Sat, Aug 22

      3:30 AM—4:30 AM (UTC)

    • Fri, Aug 28

      3:30 PM—5:00 PM (UTC)

Projects

1-2 hrs / week

Async content

1-2 hrs / week

Frequently asked questions

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$1,299

USD

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