Building AI Agents for Product Teams
How do you build AI agents for your product use cases? Frame, prototype, and become a Product Builder.
What you'll learn
Frame an AI use case
Identify the right problems, and structure a use case with the Jobs-To-Be-Done and Minimal Viable Agent frameworks.
Build AI agents
Build sophisticated agents on real product scenarios: specs, feedback, discovery, design briefs.
Prototype and automate
Create automated workflows and prototype complete applications with no-code tools.
The detailed programme
6 modules alternating technical fundamentals, product framing and hands-on building. You start taking action from the very first module.
Fundamentals & Framing
3h30
The technical foundations to understand what you'll be building, advanced prompt engineering, and framing AI use cases with the Jobs-To-Be-Done and MVA frameworks.
Objectives
- Understand how LLMs, RAG and AI agent architecture work
- Master advanced prompt engineering and write prompts suited to agents
- Turn an intuition into a structured use case with JTBD and Minimal Viable Agent
What's covered
- How LLMs, RAG and AI agent architecture work
- Advanced prompt engineering and writing prompts suited to agents
- Jobs-To-Be-Done and Minimal Viable Agent frameworks for framing a use case
Your experts
Training investment
600,00€
per participant
5 000,00 €
per session
Fund your training through an OPCO
As a Qualiopi-certified training provider, the courses we offer can be funded through an OPCO (the French vocational-training funding body). Find which OPCO you depend on here.
Let's discuss your project
Personalised quotes, tailor-made formats, OPCO funding options: we answer all your questions.
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