Category

AI Engineering

6 programs in this track. Every one of them runs in your browser.

Turns a working developer into someone who ships reliable AI systems, not someone who trains models. Built around one continuous, messy client case instead of toy examples.

What you walk away with: A hardened model client, a grounded RAG pipeline with citations, a regression eval suite gated in CI, and portfolio-ready systems with real numbers behind them.

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AI Agents

Ace the AI Agent Interview: 15 Cases with the A.G.E.N.T. Framework

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.

Included in FoundationView program
AI Agents

AI Agent Building with Stories

A beginner-friendly narrative case study. Follow Maya, Sam, Dev, and Priya at Nexa Manufacturing as they build ContractWise, an AI agent for procurement contracts, from the first painful workshop to launch day. No code, no jargon, every stage told as a story with diagrams, mind teasers, and the mistakes that taught the team the most.

Included in FoundationView program
AI Agents

How to Become an AI Agent Engineer

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.

Included in FoundationView program
AI Engineering

How to Become an AI Engineer

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.

Included in FoundationView program
AI Engineering

How to Become an AI Quality / Eval Engineer

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.

Included in FoundationView program
AI Forward Deployed Engineer

How to Become an AI Forward Deployed Engineer

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.

Included in FoundationView program