What you take from the day

  1. Understanding. Know what the tools can do, where they fail, and when to check their answers.
  2. Practice. Work through examples that relate to your team's job, with guidance as they try.
  3. A way forward. Leave with exercises and next steps to keep learning after the session.

How it is scoped

  1. Start with a free call about the people you want to train and the change you want to see.
  2. We discuss their experience, daily work and available tools.
  3. I propose the format, exercises and preparation. We agree scope and timing before training begins.

I've spent three years teaching programming and helped more than 300 people learn to code. I also lead AI workshops and speak about the practical experience of building with AI. We can discuss a team session, a developer workshop or individual guidance.

Examples of what we can cover

We choose topics that fit your people. For developer teams, these can include:

  • Building software with AI. Plan the work, write code with AI assistance, review it and test it before real users depend on it.
  • Giving AI the right context. Organise project information and instructions so the tools understand the work and the next person can continue it.
  • Checking AI-written code. Find weaknesses ordinary tests can miss, including unsafe access and mistakes in stored data.
  • AI agents in real systems. Connect workflows and information, understand failures and keep track of cost and quality.
  • Choosing AI tools. Compare answers, speed and cost on the same task to see what actually works for your team.

The examples come from work I have done. We discuss your team's tools and access in advance so participants can follow along and practise.

What participants said about the training

An in-person full-day developer workshop received 4.92 out of 5 from 24 survey responses. Twenty-two respondents gave a five; none gave below four.

The survey summary highlights real examples and problem-solving, alongside a motivational, approachable teaching style that was easy to follow. These are summary themes, not individual testimonials.

Structure scored 4.96, hands-on work 4.75, and confidence using AI tools 4.63. Follow-up practice matters: a single day introduces skills that people continue developing in their own work.

A separate live online AI workshop reached 170 people, with entirely positive feedback received.