Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Mistral API - Integrating Generative AI in Production training are: Advanced mastery of Python, REST/GraphQL APIs, and LLM models like GPT or Llama. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Mistral API - Integrating Generative AI in Production training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Mistral API - Integrating Generative AI... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Mistral API - Integrating Generative AI in Production 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.

Teaching resources provided

To ensure the quality of the Training Mistral API - Integrating Generative AI in Production training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Mistral API - Integrating Generative AI in Production training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the Mistral API for scalable professional AI integrations

Develop intelligent agents with Mistral API in an enterprise context

Implement optimized RAG systems for precise and fast responses

Design certified fine-tuning pipelines on Mistral API

Optimize costs and performance of Mistral deployments in production

Deploy secure, GDPR-compliant AI applications with Mistral API

Training program

Module 1Mistral API Architecture: Configure Advanced Pipelines (Python SDK, Embeddings, Chat Completions)

Dive into the expert environment of Mistral API with installation of the official SDK and secure authentication. Explore advanced endpoints for embeddings and chat completions on real enterprise datasets. Perform practical exercises in optimized prompting to minimize hallucinations. Integrate multimodal flows with vision models. Produce a first functional AI assistant prototype with live performance metrics.

Module 2Agents and RAG with Mistral API: Build Intelligent Systems (LangChain, Vector Stores, Fine-Tuning)

Build autonomous agents via Mistral API coupled with LangChain for complex tasks like business data analysis. Implement a complete RAG with Pinecone or Weaviate for ultra-precise contextualized responses. Experiment with fine-tuning on customized enterprise datasets. Test in real conditions with quantitative evaluation of token costs and latency. Generate production-ready deliverables including a monitoring dashboard.

Module 3Mistral API Deployment: Optimize in Production (Kubernetes, Security, Scaling, Costs)

Master scalable deployment of Mistral API on Kubernetes with autoscaling and CI/CD via GitHub Actions. Integrate security safeguards like rate limiting and sensitive prompt filtering compliant with GDPR. Optimize costs by up to 50% through batching and intelligent caching. Simulate extreme load cases on your red thread project. Finalize with a migration plan to edge deployment for 2026 and a complete business performance audit.

Evaluation method

Expert multiple-choice quiz to validate learning outcomes at the end of the training
Continuous assessment through practical exercises and code reviews
Defense of the red thread AI project deployed in front of the trainer