AI Training
On-site workshops, 2 days, tailored to your challenges.
- On-site, 2 days (your premises or partner venue)
- €2,800 excl. tax + travel and accommodation depending on country
- Group of 4 to 12 people
- Learning materials provided (slides, exercises, references)
Introduction to agentic systems
What an AI agent is, how it perceives its environment and acts. Difference between a bare LLM, a tooled agent, and a multi-agent system. Concrete cases: email triage agent, document search agent.
- Resource → What is an agent
- Resource → LLM vs agent
- Resource → Anatomy of an agent
Operational prompt engineering
Few-shot, chain-of-thought, structured outputs with Zod or Pydantic. Guardrails and output validation: how to detect and correct hallucinations before they reach production.
- Resource → Prompt engineering basics
- Resource → Few-shot learning
- Resource → Guardrails and validation
Agent graph architecture
LangGraph: nodes, edges, shared state, cycles and correction loops. When to use a graph vs a linear pipeline. Design patterns: supervisor, subgraph, agentic map-reduce.
- Resource → LangGraph introduction
- Resource → Graph design patterns
- Resource → When to use LangGraph
AI integration into existing systems
Adapters, interface contracts, swapping external tools without breaking the rest. ERP/CRM connections, credential management, auditing the existing system before automating.
- Resource → AI adapter pattern
- Resource → ERP/CRM connection
- Resource → Agent credential management
LLM cost monitoring and optimisation
Langfuse: traces, dashboards, alerts on nodes that cost the most or fail the most. A/B testing prompts, routing Haiku/Sonnet by task complexity, cost reduction without quality loss.
- Resource → Langfuse getting started
- Resource → A/B test prompts
- Resource → Haiku/Sonnet routing
Organise a training ?
Describe your team and objectives. We propose a tailored programme.
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