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The Training Mistral AI: Initiation and Professional Use – Mastering French Open Source Language Models training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Mistral AI: Initiation and Professional Use – Mastering French Open Source Language Models training, Learni provides the following teaching resources:
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The assessment of skills acquired during the Training Mistral AI: Initiation and Professional Use – Mastering French Open Source Language Models training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Overview of generative AI, origins of Mistral (French startup), positioning against GPT/OpenAI, panorama of open source models. Installation of the adapted Python environment, discovery of available Mistral models, first text generations and analysis of results. Panorama of business use cases: automation, information synthesis, chatbots and specialized assistants.
Fine management of inference (parameters, computing power, sampling strategies), processing pipelines, management of complex prompts (Mistral-specific prompt engineering). Introduction to fine-tuning: skill building, dataset constitution and cleaning, fine-tuning setup, quality checks, model evaluation. Security, GDPR management, limits and ethics with Mistral.
Integration into Python applications, deployment via API or Docker containers, connection to existing IT systems (examples: internal chat, support assistants, document analysis). Realization of a mini-project: development of a contextual assistant or business automation tool using Mistral. Methodologies for open-source monitoring and Mistral roadmap, surveillance of regulatory and technological evolutions.
Target audience
Developers, data scientists, AI professionals and decision-makers wishing to leverage Mistral models
Prerequisites
Basic knowledge of Python and general understanding of machine learning
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