AI Education

Zero background.
World-class outcome.

A 5-phase program that turns you — whoever you are, wherever you are — into an AI engineer who builds products people pay for, and that top companies compete to hire.

Guided Group

Learn from our platform · peer accountability · Demo Day

Self-Paced

Your schedule · same curriculum · same standard

Enrol — $49 / mo Explore the Labs

The curriculum

Five phases.
One complete transformation.

Every phase builds on the last. Nothing is skipped. Nothing is optional.

FOUNDATION

Engineering Core

No background needed. You learn to think like an engineer — programming fundamentals, algorithms, systems thinking. We move fast and we don't dumb it down.

Python from first principlesData structures & algorithms — FAANG standardGit, version control, collaborative workflowsSystems thinking & software design

Months 0 – 3

AI ENGINEERING

Core AI Curriculum

LLM engineering. ML pipelines. Production deployment. You build systems with real constraints — not notebooks that nobody ships.

LLM engineering, RAG pipelines & chain-of-thoughtFine-tuning & model alignmentML Engineering: training, evaluation, deploymentMLOps: monitoring, drift detection, CI/CD for models

Months 3 – 6

BUILD

Niche Product Development

Choose a sector, validate a pain point, and build an MVP. By the end you have real users and real feedback — not a prototype, a product.

User research & pain point validation — no imaginary usersMVP architecture built for speedUser onboarding, acquisition & feedback loopsIterating on real data from real users

Months 6 – 9

REVENUE

Launch & Scale

Revenue is the metric. You turn users into customers, grow what works, and document the traction. Builders at this stage show receipts, not projections.

Growth engineering, retention & conversionRevenue model design & pricing strategyData-driven product iterationCustomer success & reducing churn

Months 9 – 12

INCUBATION

Co-founder Matching & Incubation

The strongest are matched with 2–4 co-founders with complementary strengths. You form a founding team, sharpen the product, and enter the incubation pipeline with full investor access.

Technical co-founder dynamics & team formationCo-founder matching by skill and sectorIncubation intake: product review & investor readinessWarm intros to angels and VCs who back world-class AI companies

Months 12+

The production toolkit

Tools you master.
Not slide decks. Real stacks.

Every tool on this list is something you'll use in production — on real datasets, serving real users — before you finish.

Python & PyTorch

The language of AI and the framework behind the models that power every major AI product in production today.

LangChain & LlamaIndex

LLM orchestration, RAG pipeline construction, and agent architecture — built and deployed, not just discussed.

HuggingFace Transformers

Pretrained models, fine-tuning workflows, and the dataset tooling used by the world's top AI research teams.

FastAPI & Docker

Model serving with production-grade APIs. Containerised deployments that run anywhere without breaking.

MLflow & Weights & Biases

Experiment tracking, model versioning, and the operational discipline that separates engineers from researchers.

AWS / GCP & PostgreSQL

Cloud deployment, vector and relational databases, and the infrastructure that keeps production systems alive.

Leave with a portfolio.
Not a piece of paper.

Every tool above appears in at least one project you will have shipped by the time you finish. Interviewers don't ask about certificates — they ask about what you've built.

$49/mo

Full curriculum access. All six tools. Real projects. Cancel any time.

Start learning

Outcomes

What you become
when you finish.

The engineer companies compete for

FAANG-calibre fundamentals. Production AI experience. A portfolio of real shipped work. The technical interview becomes something you pass, not fear.

FAANG-level DSALLM EngineeringSystems Design

The founder who ships revenue

An AI product with paying users. A co-founding team. Access to the incubation pipeline and investors who back the best AI companies globally.

Paying customersCo-founder matchedInvestor access

The engineer who can do both

Good enough to get into top companies. Ambitious enough to build the ones that compete with them. That combination is rare — and exactly what we produce.

Technical depthProduct thinkingStartup instincts

Partners & Ecosystem

Where our engineers go.
And who builds with us.

TechOps builders are hired by the world's most demanding companies. Our curriculum is built on the exact tools these companies ship with every day.

Our builders are hired by

Google

Stripe

Andela

Microsoft

Safaricom

Amazon

Zero background.World-class outcome.

Five phases.One complete transformation.