Mistral Deployment: Cloud and Self-Hosting
Deploy Mistral everywhere: AI Studio, Azure AI, Google Vertex, AWS Bedrock, Snowflake, and self-hosting with vLLM, TensorRT-LLM, and TGI.
14 lessons About 1 h 45 min Advanced
What you'll learn
- Compare AI Studio, Azure AI, Vertex, Bedrock, and Snowflake for hosting Mistral models
- Structure organizations, workspaces, and pricing tiers within Mistral AI Studio
- Instantiate the MistralAzure client in Python and deploy to production
- Deploy a Mistral model via self-hosting with vLLM, TensorRT-LLM, or TGI
- Size GPU infrastructure and arbitrate between managed API and internal hosting
Course details
- Who it's for
- Developers, engineers, and integrators looking to leverage Mistral AI via API in their applications.
- Prerequisites
- Confirmed experience in application development and deployment to production.
- Length
- 1 h 45 min · 14 lessons
- Format
- 100% online self-paced course, accessible 24/7 from a browser. Progress saved, resume anytime. Estimated duration: 1 h 45 min.
- Assessment
- Self-assessment based on the Key takeaways concluding each lesson, and direct implementation of examples on your own examples. A final quiz of 5 corrected questions at the end of the last lesson validates acquired knowledge.
- Accessibility
- Self-paced course accessible to people with disabilities: text content compatible with screen readers, keyboard navigation, and compliant contrasts. For any adaptation needs, email [email protected].
- Price
- Free
- Recognition
- Certificate of completion issued by Corsen AI, verifiable online.
- Syllabus
- Download the syllabus (PDF)