Mistral Le Chat Workshop – From Chatbot to Personalised AI Agents

2 x Half-Day Training Sessions

The practical course for using Mistral Le Chat confidently, safely and effectively. Suitable for staff who already know the basics of Generative AI, or beginners who need a structured path from simple chatbot use to reusable AI workflows.

Summary:

A hands-on introduction to Mistral Le Chat, focused on safe use, prompting, personalisation, projects, libraries, agents, connectors and advanced modes such as Deep Research, Think Mode and Work Mode. Participants will learn how to use Mistral for day-to-day work, build grounded document Q&A workflows, personalise the chatbot through instructions and memory, and design reusable AI agents for repeated tasks. The course also covers when to use a simple chat, when to use a project, when to use a library, and when an agent or connector-based workflow is the better solution.

Course Breakdown:

Governance and Responsible AI Use

• Safe use of Mistral
• Data boundaries
• Draft-quality outputs
• Verification and human responsibility

AI and LLM Recap

• Generative AI and Large Language Models
• Chatbots
• Probabilistic behaviour
• Hallucinations

Getting Started with Mistral Le Chat

• Interface walkthrough
• Core capabilities
• Files and settings
• Tools and practical navigation

Mistral Modes and Research Features

• Fast Mode
• Think Mode
• Deep Research
• Web Search
• Work Mode

Prompting for Better Outputs

• Goal, context, source, expectations
• Role prompting
• Persona prompting
• Structured output control

Personalisation in Mistral

• Custom instructions
• Memory
• Stable preferences
• Changing context
• Personalised chatbot setup

Projects and Reusable Workspaces

• How to organise longer work
• Keeping context
• Using project instructions
• Creating repeatable workflows

Libraries as Knowledge Bases

• Using Libraries for grounded answers
• Document Q&A
• Policy helpers
• Company knowledge assistants

Practical Day-to-Day Use Cases

• LinkedIn post creation
• Persona-based summarisation
• Email workflows
• Document rewriting
• Meeting notes
• Basic analysis

From Chatbots to Agents

• Difference between chatbots and agents
• When agents are useful
• How reusable assistants work

Building Mistral Agents

• Agent anatomy
• Role and goal
• Rules
• Source handling
• Output format
• Limitations and testing

Agent Use Cases

• Prompt improver
• Business communication coach
• HR or policy assistant
• Simulator agent
• Expense categorisation agent
• Offer evaluation agent

Connectors, APIs and MCP

• How AI connects to tools
• What APIs do
• What MCP means
• Why connectors matter for advanced workflows

Agents with Tools and Data Sources

• Calendar assistant
• Database agent
• Report automation
• Connector-based workflows

Decision Framework

• When to use chat, project, library, memory, custom instructions, agent, connector, Deep Research or Work Mode