Course Outline

Introduction to Devstral and Mistral Models for Government

  • Overview of Mistral’s Open-Source Models for Government
  • Apache-2.0 Licensing and Enterprise Adoption for Government
  • Devstral’s Role in Coding and Agentic Workflows for Government

Self-Hosting Mistral and Devstral Models for Government

  • Environment Preparation and Infrastructure Choices for Government
  • Containerization and Deployment with Docker/Kubernetes for Government
  • Scaling Considerations for Production Use in Government

Fine-Tuning Techniques for Government

  • Supervised Fine-Tuning vs. Parameter-Efficient Tuning for Government
  • Dataset Preparation and Cleaning for Government
  • Domain-Specific Customization Examples for Government

Model Ops and Versioning for Government

  • Best Practices for Model Lifecycle Management in Government
  • Model Versioning and Rollback Strategies for Government
  • CI/CD Pipelines for ML Models in Government

Governance and Compliance for Government

  • Security Considerations for Open-Source Deployment in Government
  • Monitoring and Auditability in Enterprise Contexts for Government
  • Compliance Frameworks and Responsible AI Practices for Government

Monitoring and Observability for Government

  • Tracking Model Drift and Accuracy Degradation for Government
  • Instrumentation for Inference Performance for Government
  • Alerting and Response Workflows for Government

Case Studies and Best Practices for Government

  • Industry Use Cases of Mistral and Devstral Adoption in Government
  • Balancing Cost, Performance, and Control in Government
  • Lessons Learned from Open-Source Model Ops in Government

Summary and Next Steps for Government

Requirements

  • An understanding of machine learning workflows for government applications
  • Experience with Python-based ML frameworks utilized in public sector projects
  • Familiarity with containerization and deployment environments relevant to government systems

Audience

  • Machine Learning Engineers for government agencies
  • Data Platform Teams supporting government operations
  • Research Engineers engaged in public sector initiatives
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

2026-02-16 09:30
14 hours
Tulsa, Ok
$ 2703 (Online)
$ 3903 (Classroom)

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

2026-03-02 09:30
14 hours
75 S West Temple, Salt Lake City, UT
$ 2703 (Online)
$ 3903 (Classroom)

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

2026-03-16 09:30
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 3903 (Classroom)

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

2026-03-30 09:30
14 hours
Charleston, WV – At Quarrier Street
$ 2703 (Online)
$ 3903 (Classroom)

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

2026-04-13 09:30
14 hours
Middleton, WI - Regus - Middleton Greenway
$ 2703 (Online)
$ 3903 (Classroom)

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