A data, ML, or AI practitioner deploying models inside a regulated institution.
What you can do after it: Deploy AI in a regulated finance setting with the right data foundation, pass model-risk governance for LLMs, and build secure agent and integration patterns the second line will sign off on.
The path
- AI in Financial Services
- The Data Substrate for AI in Finance
- Model Risk Management for LLMs
- Securing Money-Moving Agents
- MCP as a Product Strategy Multiplier
Credential: Major Matters Certified: AI in Finance Practitioner
Work through all 5 courses in order to complete the track. Finishing it means you have covered the role end to end, not sampled a few lessons.