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Measure your job readiness against the employer rubric, walk through six readiness moves, and re-measure to see your score move. Built for fresh graduates in procurement, AP, and supply chain roles.
A high level orientation program. What an AI Operating System is, why it is now necessary, why employers screen for it, and exactly how to learn, practice, and showcase it before your next interview.
Workbook style program. Turn your three systems into a public portfolio: repo architecture for a recruiter audience, READMEs that sell your thinking, a 4 week LinkedIn build log, and search optimization so recruiters find you.
Workbook style program. Treat your job search as an operating problem: build a 40 company pipeline, a company research skill, a resume tailoring workflow with truth guardrails, and an interview prep engine with logged practice rounds.
Workbook style capstone program. Script and rehearse the 7 minute live demo, build your interview story bank, prepare for the hard skeptical questions, and pass a recorded mock panel.
Interview preparation for AI agent design roles, built on fifteen true-to-life cases (Uber, Swiggy, Amazon, Airbnb, IndiGo, Razorpay, Duolingo, LinkedIn, Datadog, Practo, Walmart, Perplexity, HDFC, Ola). Learn the A.G.E.N.T. framework (Assess, Gather, Evaluate, Navigate, Test and Improve), spot the tempting wrong answer in every case, and practice quotable first-person answers with model responses, follow-up probes, weak versus strong comparisons, and the closing statement that lands the offer. Beginner friendly, no prior interview experience needed.
A 4-week, production-obsessed program that turns a junior developer into an Agent Engineer. One continuous case study (Pelham Goods, a 140-staff e-commerce retailer drowning in refund requests), the raw agent loop taught from primitives before any framework, state graphs and resumability, human-in-the-loop gates, MCP and tool security, prompt-injection defense, cost and latency engineering, evals and production monitoring, and a rollback story for when a shipped change goes wrong. You build a working portfolio artifact every week, each with a real incident you survived, not just a demo that worked once.
Program 3 of the MBA AI trilogy. 4 weeks of coached, interactive interview drilling: the four answer machines, the AI case twist and guesstimate, defending your own CV under fire, hostile-mode pressure testing, and full mock loops. Every unit is a timed, recorded, Socratic session built on your own material, not a script to memorize.
Every real AI PM interview question, answered with a repeatable framework, a worked example, and the traps that sink average candidates. From the five-column scorecard hiring managers actually use, through LLM fundamentals, to 50 real questions asked at OpenAI, Anthropic, Meta, Google, Microsoft, and more.
A 4-week, build-everything program that turns a junior developer into an AI Engineer. One continuous case study (Juniper Legal, 40,000 messy contracts), the full production-shaped stack (a hardened model client, a grounded RAG pipeline with hybrid search and citations, function calling and MCP, prompt-injection defenses, cost and latency engineering, tracing, and a regression eval suite gated in CI), and 4 deployed portfolio artifacts with real numbers you can show in an interview. You never train a model; you build reliable systems on top of foundation models.
A 4-week, hands-on program that turns a QA engineer, analyst, or junior dev into an AI Eval Engineer. One continuous case study (Trellis CRM), a hand-built golden dataset and failure taxonomy, the full scoring stack (rule-based checks, calibrated LLM-as-judge, human review), the statistics to know when a number means something, evals wired into CI as release gates and into production as drift monitors, and 4 portfolio artifacts with real numbers you can show in an interview.
A 4-week, hands-on program that turns a curious beginner into an AI PM. One continuous case study (Northwind Desk), a repeatable framework for judging any AI opportunity, real prompting and eval practice, PRDs and metrics for probabilistic features, launch decisions, and 4 portfolio artifacts you can show in an interview.
What you need to know and how you'll become one. A 4-week, hands-on path from zero to a portfolio-ready AI Forward Deployed Engineer, built around one continuous client engagement and a repeatable method for reading any industry.
The 50 questions top AI companies (OpenAI, Anthropic, Meta, Google, Microsoft) actually ask product managers — decoded with stories, napkin sketches, worked examples, and PM playbooks. 63 videos, 9 hours. Master every round: Product Sense, Technical, Strategy, Execution, Behavioral, and Take-Home.
