Become a production-ready AI engineer in 45 days. Live, hands-on, and built around real systems you'll actually ship — not POCs.
Most courses stop at a notebook demo. FORGE takes you all the way to deployed, monitored, governed systems — the way real AI teams work.
Every project ships with auth, evaluation, monitoring, guardrails and cost control — deployed to the cloud, not left in a notebook.
Real-time sessions, live code reviews, and direct Q&A with practitioners. You're in the room, not watching a playback.
Led by engineers who ship enterprise AI for hedge funds, PE firms and banks — the same patterns behind PRISM and RICH.
Full AI-interview preparation, a portfolio that stands out, and mock interviews with feedback — so you can actually land the role.
Six phases, each building on the last — and each ending in something you've actually shipped.
Six tightly-sequenced phases. Click through each to see exactly what you'll learn and build.
Not theory — the exact architecture behind enterprise AI systems. Every project you ship flows through these layers.
Ingest a real document corpus, build hybrid search with citations, add authentication and an evaluation harness, then deploy with monitoring. The pattern behind every enterprise AI assistant.
Agents that plan, retrieve, debate and synthesise — orchestrated with LangGraph, with memory and tool use. The architecture behind real autonomous workflows.
Query a real relational database in plain English, with schema awareness, guardrails, and role-based access. A pattern in huge demand across finance and analytics.
Take a project all the way to production — CI/CD, tracing and observability, prompt-injection defence, and a live cost dashboard. The layer that separates engineers from hobbyists.
A dedicated track on exactly how to clear AI engineering interviews — the questions, the system designs, and how to tell the story of your work.
Design a RAG platform, an agent system, or scale to millions of documents — reasoning out latency, cost and reliability trade-offs out loud.
Transformers, attention, embeddings, RAG vs fine-tuning, hallucination mitigation, and evaluation metrics — explained the way interviewers probe.
Build a small RAG or agent live, integrate an API under time pressure, and write clean, reviewable AI code on the spot.
The questions juniors miss: observability, guardrails, cost, security and governance — the answers that signal real seniority.
Tell the story of your production projects with impact and metrics — and present a GitHub and portfolio that earns the offer.
Real mock interviews with personalised feedback, plus a bank of 200+ actual AI-engineering questions to drill before the real thing.
14+ years in the Microsoft Azure ecosystem, building enterprise AI in production — RAG pipelines, multi-agent systems, natural-language-to-SQL agents, and Copilot & Teams deployments — for hedge funds, private-equity firms, investment managers and banks. FORGE teaches the exact patterns and architecture behind systems shipped to demanding enterprise clients, not textbook theory.
Connect on LinkedInA clear weekly rhythm designed to fit alongside a job, while keeping the pace real.
Interactive, real-time classes several times a week — teaching, building, and answering your questions live.
Regular office hours and guidance to unblock you fast — with 1:1 mentorship on the Pro track.
Real feedback on the code you write — the fastest way to level up to a professional standard.
Most of your learning is by building. You ship four real systems, with structured time to do it well.
A focused cohort channel for peers, accountability and connections that outlast the program.
Every session recorded, plus code, slides and references — yours to keep and revisit.
| What matters | Self-study | Generic online course | ✓ FORGE |
|---|---|---|---|
| Format | Alone, no structure | Pre-recorded videos | Live cohort |
| What you build | Scattered tutorials | Toy demos | 4 production systems |
| Deploy / observe / govern | Rarely covered | Skipped | Core of the program |
| Feedback | None | Forums | Live code reviews |
| Interview prep | DIY | Generic, if any | Dedicated track + mocks |
| Mentorship | None | None / limited | 1:1 on Pro track |
| You leave with | Uncertainty | A certificate | Portfolio + hired-ready |
Moving into AI engineering, or levelling up from notebooks to real, deployed systems.
Serious about breaking into AI with a real portfolio and interview readiness — not just certificates.
Deployed, documented and demo-able — the single biggest lever in an AI interview.
From prompt to production: RAG, agents, evaluation, deployment, observability and cost — the full lifecycle.
No AI or machine-learning background required — we start from the foundations and build up fast.
Roles you'll be ready to target after FORGE.
Two ways to join the cohort. Both are live, hands-on, and built around shipping real systems.
The complete live program — everything you need to become a production AI engineer.
45-day live cohort · all 6 phases + materials
4 production-grade projects, deployed
Group code reviews & live Q&A
AI interview track + 200+ question bank
Community access & certificate
Everything in Cohort, plus personalised 1:1 support to maximise your outcome.
Everything in FORGE Cohort
1:1 mentorship sessions
Personalised mock interviews
Resume & portfolio review
Priority support throughout
Pricing and the next cohort date are shared on application — apply and we'll send full details.
Send a short note about your background and goals through the form.
A brief conversation to make sure FORGE is right for you — and you for it.
Reserve your seat, receive the cohort schedule, and begin Day 1.
Small-batch, mentor-led, and intensely practical. Apply now to reserve your seat in the next FORGE cohort.
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