Training

Most training is forgotten within weeks because it is too generic: slides, toy examples, and labs that look nothing like the team's real work. Teams come back to the same questions they had before:

• -The examples have nothing to do with your data, your stack or your constraints.
• -People learn the services but not how to decide between them.
• -Coding agents are rolled out without training, so most developers use them as a faster autocomplete.
• -Nothing is built during the training, so nothing changes the week after.

• Hands-on, on your backlog. The exercises use your data, your account or a copy of it, and a real item from your backlog when possible.
• Taught by people who build. The trainers deliver projects on these topics; there are no slide-only trainers.
• Decisions, not just features. Each session covers when to use what, and what it costs, not only how to click.
• Something ships. Each training ends with a working piece the team keeps: a pipeline, an agent, a template or a workflow.

1. 01

   AWS cloud

   The foundations for teams starting on AWS or moving from another cloud: accounts, identity and access, networking, security, cost, infrastructure as code.

2. 02

   Data on AWS

   Lakehouse, open table formats, pipelines, warehouse and governance, with design exercises on your own use cases.

3. 03

   AI on AWS

   Models on Amazon Bedrock, RAG, agents, evaluation and guardrails, from a first prototype to what it takes to put it in production.

4. 04

   AI developer lifecycle

   Working with coding agents on real code: writing the intent and the specs, validating plans, reviewing and testing what the agent produces. AI-DLC is one of the methods we teach, among others.

5. 05

   Format

   From a half-day workshop to several days, on site or remote, for a single team or as a programme across teams. The content is adapted to your stack and level before each session.

• -A 30-minute call on the team, its level and what it should be able to do after.
• -A programme proposal adapted to your stack, with the exercises on your own use cases.
• -The training, then a follow-up session a few weeks later on what the team has built.