The program
This immersive 2-day training course enables you to master the concrete uses of generative AI and NoCode tools in business. Whether you're a manager, operational or C-Level, you'll learn how to structure your data, design powerful automations, exploit APIs and build effective AI assistants to gain productivity, clarity and impact.
Day 1 - Prompt Engineering & Culture Data
morning
AI Acculturation and creation of a simple AI assistant
9:00-10:30 a.m.
Acculturation to generative AI and NoCode
10:30 a.m.-12:00 p.m.
Case study
More details
8.45-9.00 a.m.
Home
9:00-10:30 a.m.
Acculturation to generative AI and NoCode
- An overview of the professional uses of generative AI
- Introduction to NoCode tools and their complementarity with AI
- Prompt engineering basics
- Methodology for writing effective prompts
- Advanced techniques: roles, instruction chains, iterations
10:30 a.m.-12:00 p.m.
Case study
- Understand the difference between workflow, wizards and agents
- Benefits, limitations, risks
- Case studies of simple AI agents
- Putting it into practice: creating an AI assistant with access to a RAG FAQ
Afternoon
Data culture and Airtable exploration
1:00 pm - 1:45 pm
Structuring data to create value
10:30 a.m.-12:00 p.m.
Getting started with Airtable
4.15pm - 5.30pm
Framing IA use cases
More details
1:00 pm - 1:45 pm
Structuring data to create value
1:45pm-4:00pm
Getting started with Airtable
- Creation of a satisfaction questionnaire
- Automatic categorization of returns
- Automated response generation and dispatch
4.15pm - 5.30pm
Framing IA use cases
- IA evaluation grid by trade
- Prioritizing high-impact cases
- Personalized action plan
Day 2 - Automate and scale up
morning
Introduction to APIs and automation
9:00-10:30 a.m.
Fundamentals of APIs and Make
10:45 a.m.-1:00 p.m.
Case study
More details
8.45-9.00 a.m.
Home
9:00-10:30 a.m.
Fundamentals of APIs and Make
- Scenario logic
- Connections between tools via API
10:45 a.m.-1:00 p.m.
Case study
- Creation of a LinkedIn post generation tool in Airtable
- Add a validation circuit
- (Advanced option: scraping with Piloterr)
Afternoon
Designing and creating an AI agent
1:30 pm - 4:00 pm
AI agents with Make
4:30 pm - 5:00 pm
Conclusion of the training
More details
1:30 pm - 4:00 pm
AI agents with Make
- Building an AI agent with Make
- Assisted case study: Creating a "CSM" AI agent with memory and RAG capability
4:30 pm - 5:00 pm
Conclusion of the training
- Learning synthesis
- Discussion of an action plan for each participant