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: Proficiency in Python, experience with REST APIs, and basics in machine learning. 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 distanciel. 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 to develop professional AI solutions

Develop production-ready applications connected to the Mistral API

Optimize prompt engineering for precise responses in business settings

Implement scalable chatbots and AI assistants

Configure token management, costs, and API call security

Deploy AI workflows in production with effective monitoring

Training program

Module 1Mistral API Fundamentals: Authentication and First Calls (Endpoints, Python SDK)

Quick installation of the development environment with the official Mistral SDK, secure API key configuration, and exploration of chat completions, embeddings, and fine-tuning endpoints. First practical tests on simple prompts to generate creative text, exercises on business use cases like marketing content generation, creation of an ongoing project with response logging for immediate analysis, personalized feedback from the trainer to accelerate your skills.

Module 2Advanced Prompt Engineering with Mistral API: Model Optimization (Chain-of-Thought, Few-Shot Techniques)

Deep dive into prompt engineering techniques specific to the Mistral API to maximize AI response accuracy, experimentation with chain-of-thought, zero-shot, and few-shot prompting on real datasets, practical workshops to refine complex prompts tailored to professional needs like data analysis or customer support, performance measurement using quality metrics, rapid iteration on your ongoing project with A/B testing of prompts, immediate productivity gains for robust enterprise applications.

Module 3Mistral API Integration: Chatbots and Multimodal Flows (Streaming, Vision Models)

Development of interactive applications with Mistral API in streaming mode for real-time fluid responses, integration of vision models for image and document processing, building conversational chatbots with long-context management, exercises on concrete cases like e-commerce virtual assistants or automated HR tools, connection to databases for personalized RAG, secure implementation with rate limiting, significant progress on the ongoing project with local deployment for user testing.

Module 4Mistral API Deployment and Optimization: Scalable Production (Monitoring, Costs, Fine-Tuning)

Preparation for production deployment with Docker containers and Kubernetes orchestration for Mistral API, cost optimization through fine-grained token management and intelligent caching, setup of monitoring with Prometheus and latency alerts, fine-tuning workshops on enterprise datasets for customized models, securing calls with OAuth and encryption, finalization of the ongoing project with CI/CD pipeline, delivery of enterprise-ready deliverables and certification of skills.