AI TrainingChatGPT and Mistral
Mistral Le Chat Workshop: From Chatbot to Personalised AI Agents
Mistral Le Chat in practice: safe use, prompting, personalisation, projects, libraries, agents and connectors. For staff who already have the basics.
- Beginner, Intermediate
- All staff, Mistral Le Chat users
2 x half day workshopPractical training sessions
1-6 people
€900
7-12 people
€1,100
Summary
A hands-on course in Mistral Le Chat, for staff who already have the basics or beginners who want a structured path from simple chatbot use to reusable AI workflows. Both sessions are practical throughout, from safe use and prompting to projects, libraries, agents and connectors, all built around day-to-day work. You finish using Mistral confidently, with your own agents for repeated tasks and a clear sense of when to use a chat, a project, a library or an agent.
Course breakdown
Governance and Responsible AI use
Using Mistral safely: data boundaries, treating outputs as drafts, and the verification and human responsibility that come with them.
AI and LLM recap
A short recap of generative AI and large language models, how chatbots work, why their behaviour is probabilistic, and where hallucinations come from.
Getting started with Mistral Le Chat
A walkthrough of the interface and its core capabilities, files and settings, and the tools you will use most.
Mistral Modes and Research Features
Fast Mode, Think Mode, Deep Research, Web Search and Work Mode, and what each one is for.
Prompting for better outputs
Goal, context, source and expectations, role and persona prompting, and controlling the structure of the output.
Personalisation in Mistral
Custom instructions and memory, stable preferences against changing context, and setting up a personalised chatbot.
Projects and Reusable Workspaces
Organising longer work in projects, keeping context, using project instructions and creating repeatable workflows.
Libraries as Knowledge bases
Using libraries for grounded answers: document Q&A, policy assistants and company knowledge assistants.
Practical day-to-day use cases
LinkedIn posts, persona-based summaries, email workflows, document rewriting, meeting notes and basic analysis.
From Chatbots to Agents
The difference between a chatbot and an agent, when agents are useful, and how reusable assistants work.
Building Mistral Agents
The anatomy of an agent: role and goal, rules, how it handles sources, its output format, and how to test it and know its limits.
Agent use cases
A prompt improver, a business communication coach, an HR or policy assistant, a simulator agent, an expense categorisation agent and an offer evaluation agent.
Connectors, APIs and MCP
How AI connects to other tools, what APIs do, what MCP means, and why connectors matter for advanced workflows.
What you leave with
After the course, you'll be able to:
- Use Mistral Le Chat for day-to-day work
- Build grounded document question-and-answer workflows
- Personalise the chatbot through instructions and memory
- Design reusable AI agents for repeated tasks
- Decide when to use a simple chat, a project, a library, an agent or a connector-based workflow
