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Training Mistral AI - Master AI for High-Performance Apps

Ref: XDK147
10 people max.
5250 € HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master Mistral APIs to generate intelligent content
  • Fine-tune Mistral models on custom data
  • Integrate Mistral AI into web and mobile applications
  • Optimize prompts for precise and efficient results
  • Deploy secure AI pipelines with Mistral
  • Analyze performance and costs of Mistral models
  • Develop concrete business use cases

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without mastering Mistral AI, 70% of generative AI projects fail due to poorly optimized prompts, wasting 20h/week on useless iterations.

  • Lose 40% productivity compared to trained competitors, with token costs exploding to 5€/1000 inefficient requests.

  • Risk GDPR compliance via unguarded data leaks, miss business opportunities like +25% revenue via personalized chatbots.

  • In 2024, 85% of AI companies deploy Mistral for scalability; stay behind, your obsolete workflows hinder 15% annual growth.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Mistral AI Fundamentals: APIs and Expert Prompts

Dive into Mistral APIs to query models like Mistral Large, test chain-of-thought prompts on real exercises, generate texts, code, and analyses via interactive playground, create your first Python scripts to automate requests, produce deliverables like a basic AI assistant that solves complex problems.

Module 2Fine-tuning Mistral: Adapt Models to Your Data

Learn to prepare datasets with LoRA on Mistral 7B, train custom models via Colab and Hugging Face, evaluate metrics like perplexity on concrete marketing or code cases, generate fine-tuned models ready to deploy, iterate on hyperparameters to boost accuracy by 30%.

Module 3Mistral AI Integrations: Frameworks and Real Apps

Integrate Mistral into Streamlit and FastAPI for interactive dashboards, connect to SQL databases via LangChain, develop RAG chatbots on internal documents, test embeddings for semantic search, deploy functional prototypes with Docker, measure latency for scalable apps.

Module 4Advanced Prompt Engineering and Mistral Agents

Master few-shot, tree-of-thoughts techniques for ultra-effective prompts, build autonomous agents with external tools via Mistral Tools, simulate e-commerce and customer support scenarios, optimize to reduce tokens by 50%, validate on real benchmarks for immediate ROI.

Module 5Mistral Deployment and Optimization: Secure Production

Deploy on AWS or Vercel cloud with Prometheus monitoring, secure APIs via guards and rate-limiting, analyze token costs for controlled budgets, scale with Mistral NeMo, review final projects in group, leave with deployed portfolio and business action plan.

Evaluation method

  • Daily interactive quizzes, certified final project, 360° feedback

Learning method

  • Active pedagogy, 70% hands-on, reusable video tutorials

Methods, materials and delivery

The Training Mistral AI - Master AI for High-Performance Apps program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Mistral AI - Master AI for High-Performance Apps program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Mistral AI - Master AI for High-Performance Apps program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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