• Acquire the skills to manage an AI project from start to finish.
• Understand the technical, financial and human challenges of a project carried out with AI.
• Integrate the Mistral platform in project management workflows.

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Morning: Understanding and planning an AI project with Mistral

1: Introduction to AI Project Management

• Understand the differences between a traditional project and an AI project.
• Roles and responsibilities in an AI team.

2: Discovering Mistral

• Presentation of the Mistral platform and its functionalities.
• Advantages of Mistral models for businesses.
• Relevant use cases in different sectors.

3: Planning an AI project with Mistral

• Identification of needs and definition of project objectives.
• Drafting of the AI specifications: steps, deliverables and deadlines.
• Practical case : creation of a fictional project plan.

Afternoon: Implementation and follow-up of the AI project

1: Mistral technical integration

• Mistral APIs and tools: how to integrate them into your infrastructure.
• Data management for language models: preparation, cleaning, and training.
• Practical case : connection and use of a Mistral API.

2: Managing risks and contingencies

• Identify and anticipate risks: biases, technical and legal constraints.
• Management of contingencies: schedule adjustments and prioritization of deliverables.
• Examples of how to solve common problems.

3: Performance monitoring and communication

• Performance indicators (KPIs) to measure the effectiveness of the project.
• Review and documentation of deliverables.
• Communication of results to stakeholders.