Training

Agentic AI, taught by the people who run it in production.

Three in-house modules, on site or remote. The exercises are our own production problems, not textbook cases.

Half a dayIn-house

Agentic AI for decision-makers

Leave with an accurate picture of what an agent can do, what it really costs, and why most never reach production.

Audience
Executive committees, business leads, CIOs

On the agenda

  • Agent, workflow, assistant: what the three words actually cover
  • The four failure modes that kill an agentic project
  • What an agent costs in use, and how that cost gets away
  • Reading an AI roadmap: the questions to ask your teams
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1 dayIn-house

Building agents for production

Leave with an agent that runs, structured the way you structure a service you will have to maintain, not a demo notebook.

Audience
Developers, data scientists, platform teams

On the agenda

  • Orchestration with LangGraph: state, retries, bounded loops
  • RAG: chunking, retrieval, and why it must be evaluated
  • MCP: connecting your internal tools without rewriting the agent
  • Error handling, idempotency and incident recovery
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1 dayIn-house

Evaluating and observing agents

Leave with an evaluation harness running on your own cases, and traces that explain every euro spent.

Audience
Teams that already have agents live

On the agenda

  • Building a representative evaluation set, and maintaining it
  • LLM-as-judge: when it is valid, when it is noise
  • Wiring observability: traces, latency, cost per request
  • Failing a release on an evaluation regression
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Custom

A longer format, a module built on your own agents, a team of thirty to cover in two sessions: we adapt. On quote.

Describe your need

What makes these days different

Designed and delivered by two engineers who build agents in production every week.

In-house only: the content is realigned to your stack and your use cases before the session.

Twelve participants at most, so everyone codes instead of watching.

The material and exercise repositories are yours to keep, with no licence or subscription.

Let's talk

Let's start with a conversation.

Describe your situation in a few lines. We will tell you frankly whether we can help, and how. A reply within one business day, first call with no commitment.