Practical, hands-on training from a working Principal Engineer: how to engineer with AI at hyper velocity, and the disciplines that keep fast delivery safe.
Every course is written and delivered by Adam White, who uses these practices on real delivery work, not just in the classroom. Courses are built around your team's own code, pipelines and problems wherever possible, so what people learn on Monday is in use on Tuesday.
Adam has run day-long Azure bootcamps for graduate hires and shaped their content with an Azure Centre of Excellence, mentored engineers in TDD, BDD and C#, introduced test-driven and behaviour-driven development to several teams, and brought AI-assisted engineering practices into teams at Microsoft and Stonewater.
How a team ships much faster with AI without lowering the bar, and how to change ways of working to get there.
Hands-on use of AI coding assistants and agents on real code, and getting reliable results from them.
For leads and architects: where AI helps a project, where it doesn't, and how to adopt it responsibly.
Red, green, refactor, practised on katas and then on your own code until it's habit.
Code that the next person, and the next AI tool, can understand and change safely.
Designing systems that fit the problem and the team, and explaining the choices.
A fast, practical start on Azure for developers and graduates, with a path to certification.
From manual releases to repeatable pipelines, with infrastructure treated like any other code.
Knowing how your system behaves in production, and proving it before customers find out.
Building security in from the start, so penetration tests confirm rather than surprise.
Finding and fixing what makes services slow, at scale, with evidence rather than guesswork.
For senior engineers stepping up to lead: the parts nobody teaches you.
Half-day or full-day sessions on one topic, hands-on throughout, for a team or a group of teams.
Several days combining topics, for example an AI-assisted engineering bootcamp, or Azure for new joiners.
Working alongside your team on its own backlog for a few weeks, pairing and reviewing, so new practices stick.
Learning on your own rather than as a team? See the AI Engineering Academy.
Every course is tailored to your stack and your team's level, delivered remotely or on site. Content and price are agreed up front.
Tell us about the team, what they work on and what you want them to be able to do afterwards. The fastest way to reach us is by email.
Email [email protected]