Mistral AI Certification

Lessons

1. 1LESSON 1 — MISTRAL AI FUNDAMENTALSIntroduces Mistral AI as a model provider and its Vibe, Studio, and Admin platform pillars.35m
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2. 2LESSON 2 — MISTRAL VIBEExplains Mistral Vibe's Work, Code, and Chat modes and how they share one agent.50m
3. 3LESSON 3 — MISTRAL MODELS & MODEL SELECTIONTeaches a framework for selecting among Mistral models based on capability, cost, and latency.55m
4. 4LESSON 4 — MISTRAL PROMPT ENGINEERINGPresents a six-part framework — role, task, context, constraints, format, success criteria — for effective prompts.50m
5. 5LESSON 5 — MISTRAL STUDIO & API FUNDAMENTALSCovers Mistral Studio's tools and the critical rule of never exposing API keys client-side.60m
6. 6LESSON 6 — MISTRAL AGENTS & TOOL USEExplains function calling, tool design, and the Agents/Conversations APIs for multi-step agents.60m
7. 7LESSON 7 — MISTRAL RAG, DOCUMENT AI & KNOWLEDGEExplains the RAG pipeline, why grounding must be verified, and the role of Document AI/OCR.60m
8. 8LESSON 8 — MISTRAL CONNECTORS, MCP & ENTERPRISE INTEGRATIONSCovers MCP, connectors, and the enterprise requirement that tools be permissioned, controlled, and audited.60m
9. 9LESSON 9 — MISTRAL VIBE CODE & AI SOFTWARE DEVELOPMENTVibe Code assists developers with file edits, commands and pull requests through a disciplined plan-code-review-test-security-commit workflow.60m
10. 10LESSON 10 — MISTRAL SAFETY, SECURITY & RESPONSIBLE AICovers prompt injection risks, the least-privilege security principle, and responsible data and output handling for Mistral AI systems.60m
11. 11LESSON 11 — ADVANCED MISTRAL AI APPLICATION DEVELOPMENTExplains how to combine model selection, RAG, agents and connectors into reliable, production-grade Mistral applications.60m
12. 12LESSON 12 — MISTRAL AI MASTERY CAPSTONEGuides learners through designing, building and documenting an integrated capstone project using Mistral's full toolset.60m
13. 13CAPSTONE REQUIREMENTSDefines the scope, required components, and constraints for the Mistral AI capstone project.3m
14. 14CAPSTONE DOCUMENTATIONOutlines the required documentation sections for the capstone: problem, architecture, model choice, prompts, and evaluation.3m
15. 15CAPSTONE SCORINGExplains the 100-point scoring breakdown for the capstone across architecture, implementation, prompts, and documentation.3m
16. 16FINAL MISTRAL AI EXAMWraps up the certification by consolidating key lessons and outlining how to keep applying them going forward.3m