Tool or Technology
TT0063

Mistral in Action

Research, Build & Automate Intelligent AI Workflows

Mistral
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using the Mistral AI ecosystem for research, reasoning, document intelligence, content processing, and enterprise AI applications.
  • Select and use appropriate Mistral models based on reasoning, multimodal, coding, document, latency, and business requirements.
  • Build structured AI applications using Mistral APIs, Document AI, Libraries, structured outputs, and retrieval-augmented generation.
  • Create tool-enabled AI workflows using function calling, Agents, web search, code execution, Connectors, and MCP.
  • Apply validation, security, permissions, human approval, and responsible AI practices when developing Mistral-powered enterprise workflows.

Technology covered

Mistral AIMistral VibeMistral StudioMistral ModelsWeb SearchDocument AIOCRLibrariesRAGStructured OutputsCode InterpreterMistral API & SDKFunction CallingAgentsConnectorsModel Context Protocol (MCP)

Who should attend

  • AI & Machine Learning Engineers
  • Software Developers & Engineers
  • AI Application Developers
  • Data Scientists & Data Engineers
  • Business Analysts & Functional Consultants
  • Automation & Integration Professionals
  • Digital Transformation & Innovation Teams
  • MLOps & Platform Engineers
  • Solution Architects
  • Technical Leads
  • Enterprise AI Teams
  • Research & Knowledge Management Professionals

Prerequisites & Participant Readiness

  • Basic understanding of Generative AI and Large Language Models is beneficial
  • Basic programming knowledge in Python or JavaScript is recommended
  • Familiarity with APIs, JSON, and application-development concepts is helpful
  • Basic understanding of business documents and enterprise information workflows
  • Familiarity with retrieval, embeddings, or RAG concepts is beneficial but not mandatory
  • No previous Mistral training is required
  • Availability of certain capabilities may depend on account, workspace, deployment, or organisational configuration

TOC Modules

Concepts
  • Understanding Mistral AI and its role within the Generative AI ecosystem
  • Understanding Mistral Vibe, Mistral Studio, models, APIs, Agents, and enterprise deployment options
  • Understanding the transition from the former Le Chat experience to Mistral Vibe
  • Understanding language, reasoning, coding, multimodal, and document-focused AI capabilities
  • Understanding strengths, limitations, hallucinations, and human accountability
Practical activities
  • Exploring Mistral Vibe through realistic workplace tasks
  • Navigating Mistral Studio and available development capabilities
  • Identifying appropriate Mistral use cases across business and technical functions

Scenarios

Enterprise Research & Knowledge Assistant

Business Question → Web Search + Internal Library → Source Retrieval → Evidence Analysis → Mistral Agent → Structured Recommendation → Human Review

Participants build an AI assistant that combines current web information with internal organisational knowledge to improve research productivity, information discovery, and evidence-supported decision-making.

Intelligent Document Processing & Business Workflow

Business Documents → Mistral Document AI / OCR → Structured Extraction → Validation → Agent → Business Tool / Connector → Human Approval → Action

Participants create a document-processing workflow that extracts structured information from business documents and uses a Mistral Agent and connected tools to support downstream processing, reducing manual documentation and operational effort.

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