For the past few months, generative AI has been unlocking unprecedented potential to transform the work of Product teams.

And yet, an unexpected reality stands out: despite using AI regularly in their personal lives, Product teams still struggle to integrate it into their professional routines.

The result?

Experiments that fizzle out after a few disappointing tries

A missed opportunity to leverage AI as a productivity booster right now

The risk of falling behind teams who already master these tools

The inability to design AI-powered user experiences without understanding AI’s strengths and limits

To successfully integrate AI, teams need a methodical approach — one that favors intelligent assistance over blind automation, and starts with simple use cases before scaling up in complexity.

💡 ABOUT THE TRAINING

This program teaches you how to create AI assistants that enhance your work rather than replace it.

Through 4 live sessions + hands-on exercises, you’ll build immediately applicable skills that will transform the way you work.

The course combines theory and practice: you’ll create your own specialized AI assistant, learn from real use cases inspired by innovative companies, and apply these lessons in a final project.

📚 Module 1 — Mastering Professional Prompting

👉 Learn to structure your prompts effectively and vary perspectives for a truly professional use of AI.

- The probabilistic nature of LLMs and bias management

- The CAFÉ method for structuring your prompts

- Exploring different perspectives within a prompt

- Managing the AI adoption curve

🎯 Module 2 — Tackling Advanced Use Cases

👉 Identify your everyday use cases, avoid overly broad scopes, and use Chain of Thought reasoning for complex scenarios.

- Psychological and organizational challenges in adopting AI

- Avoiding the traps of ambitious scopes and “catch-all” prompts

- Everyday use cases — the most effective and actionable ones

- The Chain of Thought (CoT) method for advanced use cases

📊 Module 3 — Building Your Knowledge Base

👉 Build a custom RAG and turn your data and conversations into directly actionable intelligence.

- Principle of RAG (Retrieval-Augmented Generation)

- Building a custom knowledge database

- Capturing and leveraging conversational intelligence

- Automated cleaning and structuring techniques

🤖 Module 4 — Creating Your AI Assistant on Dust

👉 Configure a fully functional project assistant — from model selection to instructions — and bring it into your daily workflow.

- Setting the right expectations for your assistant

- Instructions vs. prompts — the “double-shot” CAFÉ method

- Choosing the right model and adjusting temperature settings

- Full configuration of a project-specific assistant

🎁 Tangible Deliverables

- A fully configured and tested AI assistant

- - Reusable CAFÉ prompt templates

An evaluation grid to select future use cases

- A complete methodology to structure your data

✅ THIS TRAINING IS FOR YOU IF:

You’re ready to invest time iterating for long-term results

You have real projects or data to experiment with

You want to move beyond experimentation into daily use

❌ THIS TRAINING IS NOT FOR YOU IF:

You want to learn AI model development

You expect turnkey solutions without adaptation

You’re not ready to challenge your current ways of working

💡 ABOUT AI DISCIPLINE

We specialize in training Product teams.

Our unique approach combines:

- Recognized Product expertise

- Hands-on, practice-oriented pedagogy

- Experienced instructors

- Personalized guidance

Our methodology has already helped Product teams:

- Build their first AI assistants

- Automate repetitive tasks

- Improve their Product Discovery practice

- Become AI champions within their organizations