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Expert-led training, whether you are building a career, running a team, or growing a business of your own.

Users

Anyone who works with a computer and wants AI doing real work in their day. No coding background is assumed and none is needed: the tools are chat, desktop apps and assistants. Analysts, consultants, operations, marketing, legal, founders: the everyday AI user, whatever the job title.

Coders

People who write software, whatever their title. These courses work in Python, call APIs directly and read code on screen. Engineers, data scientists, and anyone who scripts as part of a job that is not called engineering.

Leaders

People deciding where AI goes next in an organisation rather than building it themselves. What the technology can and cannot do in a given industry, what it costs to run, and where investment repays. No coding background is assumed.

GenAI 101: Building With LLMs

You read code without panic. Writing Python daily is not required.

An introduction to building on language models, for people who already write software. You learn what the API is doing underneath a chat window, what a call costs, and which shape fits the problem in front of you: prompting, structured output, function calling or retrieval. Every example is written and run live, and you leave with the runnable notebook that was on the projector, along with the rest of the material from the session.

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Coders2 hoursSpec-Driven Development: From a Written Spec to a Working Feature

Uses Git and a terminal daily, and has run a coding agent at least once.

You already use an AI coding agent. This workshop teaches the part that decides whether it builds the right thing: defining the requirements properly, then implementing exactly those requirements. Using GitHub's Spec Kit, you build a small app one step at a time (project rules, spec, plan, tasks, code), then change a requirement halfway and push it through the spec first. You leave knowing when a spec is worth writing, and when it is overkill.No dates yet

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