Engineering workshops
Building with LLM APIs, RAG, agents and evaluation, in your stack, ending with something the team built themselves.
Adopting AI is mostly a people problem. I run hands-on sessions that take a team from curious to capable, built around your own codebase and workflows rather than generic slides.
For engineering teams starting with LLMs and agents, and business teams who need to know what AI can and cannot safely do for them.
01/What you get
AI-assisted development
Using Cursor, Copilot and Claude Code without shipping what I call vibe-coded debt: review habits, tests and when to say no.
Business sessions
For non-engineers: where AI saves time, where it makes things up, and how to write a request a system can act on.
Written material
Clear guides and examples your team keeps, written by someone who writes technical explainers for a living.
02/How it works
- Step 1
Skills check
A short survey and a conversation to find out where the team actually is.
- Step 2
Tailored plan
Sessions built around your codebase, data and goals.
- Step 3
Hands-on delivery
Remote or on site in Nairobi, with exercises on real problems.
- Step 4
Follow-up
Office hours afterwards, while the team applies it to real work.
03/Proof
04/Questions
Remote or in person?+
Both. Remote anywhere, and in person in Nairobi and across East Africa.
Can the training be combined with a build?+
That is the best version: your team learns by building the first system with me, and owns it at the end.
Is the writing on this site representative?+
Yes. The technical posts in the blog are written to teach, and the workshops use the same approach.
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