Mistral AI has quickly earned a reputation for doing more with less — compact models that punch far above their weight, designed for speed, openness, and real-world flexibility.
Instead of being locked into black-box systems, teams can experiment with open-weight models like Mistral 7B and Mixtral, customizing them to match their own data, industries, and innovation goals.
In our instructor-led live training, learning becomes an active workshop rather than a lecture — participants build, fine-tune, and deploy models through interactive, hands-on sessions that mirror practical challenges.
Sessions run as online live training in an interactive remote desktop or as onsite live training in Rome, whether at customer premises or inside NobleProg training centers, giving organizations the freedom to choose the setting that best fits their needs.
This course track — often referred to simply as Mistral or the Mistral AI Platform — equips professionals with the confidence to harness lightweight, high-performance LLMs while keeping control, transparency, and creativity firmly in their hands.
NobleProg — Your Local Training Provider
Rome
NobleProg Rome, Via Clelia Bertini Attilj 4, Rome, italy, 34D
CoworkTalenti is located in the northern part of Rome, in the Talenti–Montesacro district, just a few minutes from the ring road. It is easily accessible via Via Nomentana.
Mistral AI is a powerful family of open-source and enterprise-ready AI models for language, multimodal, and agentic applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
Design and implement AI agents leveraging Mistral models for enterprise and developer use cases.
Integrate coding systems, connectors, and enterprise data into agent workflows.
Optimize performance, cost, and compliance for Mistral-powered agents.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral AI is an open AI platform that enables teams to build and integrate conversational assistants into enterprise and customer-facing workflows.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level product managers, full-stack developers, and integration engineers who wish to design, integrate, and productize conversational assistants using Mistral connectors and integrations.
By the end of this training, participants will be able to:
Integrate Mistral conversational models with enterprise and SaaS connectors.
Implement retrieval-augmented generation (RAG) for grounded responses.
Design UX patterns for internal and external chat assistants.
Deploy assistants into product workflows for real-world use cases.
Format of the Course
Interactive lecture and discussion.
Hands-on integration exercises.
Live-lab development of conversational assistants.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral AI is an open and enterprise-ready AI platform that provides features for secure, compliant, and responsible AI deployment.
This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance leads, security architects, and legal/ops stakeholders who wish to implement responsible AI practices with Mistral by leveraging privacy, data residency, and enterprise control mechanisms.
By the end of this training, participants will be able to:
Implement privacy-preserving techniques in Mistral deployments.
Apply data residency strategies to meet regulatory requirements.
Set up enterprise-grade controls such as RBAC, SSO, and audit logs.
Evaluate vendor and deployment options for compliance alignment.
Format of the Course
Interactive lecture and discussion.
Compliance-focused case studies and exercises.
Hands-on implementation of enterprise AI controls.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral models are open-source AI technologies that now extend into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications with Mistral models, including OCR and document understanding pipelines.
By the end of this training, participants will be able to:
Set up and configure Mistral models for multimodal tasks.
Implement OCR workflows and integrate them with NLP pipelines.
Design document understanding applications for enterprise use cases.
Develop vision-text search and assistive UI functionalities.
Format of the Course
Interactive lecture and discussion.
Hands-on coding exercises.
Live-lab implementation of multimodal pipelines.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Devstral and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.
This instructor-led, live training (online or onsite) is aimed at intermediate–level to advanced–level ML engineers, platform teams, and research engineers who wish to self-host, fine-tune, and govern Mistral and Devstral models in production environments.
By the end of this training, participants will be able to:
Set up and configure self-hosted environments for Mistral and Devstral models.
Apply fine-tuning techniques for domain-specific performance.
Implement versioning, monitoring, and lifecycle governance.
Ensure security, compliance, and responsible usage of open-source models.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises in self-hosting and fine-tuning.
Live-lab implementation of governance and monitoring pipelines.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral is a high-performance family of large language models optimized for cost-effective production deployment at scale.
This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost.
By the end of this training, participants will be able to:
Implement scalable deployment patterns for Mistral Medium 3.
Apply batching, quantization, and efficient serving strategies.
Optimize inference costs while maintaining performance.
Design production-ready serving topologies for enterprise workloads.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Le Chat Enterprise is a private ChatOps solution that provides secure, customizable, and governed conversational AI capabilities for organizations, with support for RBAC, SSO, connectors, and enterprise app integrations.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments.
By the end of this training, participants will be able to:
Set up and configure Le Chat Enterprise for secure deployments.
Enable RBAC, SSO, and compliance-driven controls.
Integrate Le Chat with enterprise applications and data stores.
Design and implement governance and admin playbooks for ChatOps.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.
By the end of this training, participants will be able to:
Set up and configure Devstral for coding agent development.
Design agentic workflows for codebase exploration and modification.
Integrate coding agents with developer tools and APIs.
Implement best practices for secure and efficient agent deployment.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.
By the end of this training, participants will be able to:
Deploy Mistral Medium 3 using API and self-hosted options.
Optimize inference performance and costs.
Implement multimodal use cases with Mistral Medium 3.
Apply security and compliance best practices for enterprise environments.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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