Three ways a team learns this, and one of them does not need a room.

Frequently Asked Questions

Which class fits, and what if none of them do?
The catalogue includes [advanced Angular](/classes/angular-agentic-swe/) alongside the agentic AI titles. Where no title fits, delivery is built from collected business cases instead: recurring tasks are surveyed, scored for AI suitability, and the five that score highest become the exercises.
Can we spend a Microsoft training entitlement, or licence the material for our own trainers?
Both. [Official Microsoft curriculum and Enterprise Skills Initiative classes](/classes/microsoft-classes/) are booked through a Learning Partner and delivered by a Microsoft Certified Trainer, which is where an existing training entitlement or an ESI budget can be spent. This practice's own titles are licensable as well as deliverable: the class repository carries presenter scripts, generated decks and verified labs, so a customer's own trainers can teach the material under a written licence.
How large is a class, and what has to be installed?
A maximum of 12 participants per class, so every exercise gets attention. Labs run on GitHub Codespaces or a DevContainer, which means nothing has to be installed on corporate machines and a locked-down laptop is not a blocker. Some titles need a participant licence for the tool being taught, for example an AI coder subscription.
Is delivery remote or on-site?
Both work. Remote delivery runs over Microsoft Teams with the lab environments live in the browser. On-site suits a private in-house group, particularly where the exercises touch systems the team wants to work on in the room. Every title in the catalogue can be booked privately either way, and where a room is the wrong format the same material is produced self-paced, up to a fully agentic class with generated video and avatar presenters.
Can a class run on our own systems?
Yes, and private delivery is built for it. Exercises run against the organisation's own repositories, tenant and deployment targets, so the harness configuration, skills, agents and pipelines written during the class stay in place afterwards. Nothing has to be translated from a sample project into the real one before it is useful.
What is a team left holding afterwards?
In the blended team enablement shape, the class is the first block. The harness then lands in the organisation's own repositories: conventions, expert agents, skills with reference leaves, guard hooks and a router constitution file. Accompanied days after the class use the team's real work as the exercise, and the learning loop turns what each session reveals into a skill or an agent, so conventions improve instead of drifting.