Lesson 4: Security, Evaluation, Monitoring, Deployment, Governance, and Certification
Lesson Overview
This lesson develops practical skills in security, evaluation, monitoring, deployment, governance, and certification for Salesforce AI Solutions (SAI201).
Topics Covered
Permission model, data access, sharing, field security, identity, and least privilege
Quality metrics, groundedness, relevance, safety, latency, cost, adoption, and business outcomes
Evaluation datasets, test cases, adversarial testing, regression, and human review
Deployment, release, versioning, monitoring, feedback, incident response, and rollback
AI governance board, policies, documentation, audit, vendor, and regulatory controls
AI capstone and certification preparation
Practical Activity
Configure or analyze a scenario involving permission model, data access, sharing, field security, identity, and least privilege.
Build and validate an exercise covering quality metrics, groundedness, relevance, safety, latency, cost, adoption, and business outcomes and evaluation datasets, test cases, adversarial testing, regression, and human review.
Use tests, logs, reports, or documentation to verify ai capstone and certification preparation.
Key Takeaways
Explain permission model, data access, sharing, field security, identity, and least privilege in the context of Salesforce AI Solutions (SAI201).
Apply practical methods for quality metrics, groundedness, relevance, safety, latency, cost, adoption, and business outcomes and evaluation datasets, test cases, adversarial testing, regression, and human review.
Test, document, and troubleshoot ai capstone and certification preparation.
