

Learn AI engineering by building it.
24 hands-on modules across five stages, one continuous path from typing your first prompt to shipping a production system. Every concept comes with a plain-English explainer, a diagram, runnable code, and a quiz.
- Every concept ships with real, runnable code
- Local-first by default: Ollama, no API key, no cost to start
- All exercises are sourced from real projects and mirror real-world application
- Become an applied AI engineer or forward deployed engineer in less than 6 weeks
- Get mentorship and opportunities from our Slack community
5 stages · 24 modules · certified on completion
How it works
Every module follows the same shape, so you always know what comes next.
Learn the concept
problem, analogy, how it works
Build it yourself
real, runnable code
Prove it stuck
flashcards + quiz
Your path
Five stages, sequenced so each one builds on the last.
- 1
Foundations
How LLMs actually work, then your first local model, vision, and RAG.
5 modules
- 2
Building Blocks
Voice, web data, and tool-calling with MCP.
3 modules
- 3
Systems
Agentic RAG, multimodal retrieval, agents, and infrastructure.
8 modules
- 4
Engineering Practice
Evaluation, fine-tuning, and real production deployment.
4 modules
- 5
AI Safety & Ethics
The risks, safeguards, and governance behind it all.
4 modules


Meet the team
Built by a small team passionate about technology and teaching.

Divine Okon
Founder and Product Lead, Product Data Scientist @ Basaltr.io

Promise Ekeh
Curriculum Quality Lead, AI Engineer @ Lenovo

Obaro Alordiah
Student Success Manager, Internal Communications Officer @ University of East London

Perkins Offi
Learning Analyst Lead, Performance and Reporting Analyst @ Severn Trent
Our community
Our learners come from organizations like these.












FAQ
A few things worth knowing before you start.