Applied AI educator · for the rest of us

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.

Applied AI educator · Forward Deployed delivery
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.

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
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4 live sessions • 8 lessons • 4 projects
Aug
8
Aug
15
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
Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedPrivate cohort
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A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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USD