Master the policies, controls, and frameworks required for responsible AI adoption.
This course prepares participants to lead governance, risk, and compliance efforts for AI initiatives. Through theoretical sessions and practical labs, learners apply policies, controls, and frameworks that ensure responsible, secure, and compliant AI adoption. Covering Microsoft technologies such as Purview, Defender, Entra ID, and Azure Policy, the program provides a complete view of minimum viable governance and its evolution across maturity levels.
Audience
- AI governance, security, risk, and compliance leaders
- Internal and external auditors
- Internal control professionals
Objectives
- Understand foundational governance principles for AI
- Apply frameworks such as RAIS and key governance disciplines
- Define minimum policies required for AI solutions
- Assess organizational maturity in AI governance practices
- Establish roles and responsibilities across AI governance
- Gain an overview of Microsoft tools such as Purview, Defender, Entra ID, and Azure Policy to support governance.
- Design baseline risks and compliance frameworks
- Understand governance blueprints and LandingZone models
Course Content
- Governance principles in AI environments
- Importance of governance in responsible adoption
- Relationship between governance, risk, and compliance
- Discussion of an organization’s governance environment
- RAIS: Responsible AI Standard
- Security, consistency, resilience, and monitoring
- Alignment with organizational objectives
Exercise: Analysis of business drivers vs. RAIS
- Cost, identity, deployment, and operations policies
- Technical and organizational controls
- Examples of applicable policies in Buy, Extend & Build scenarios
- AI maturity assessment model
- Scalability of policies and controls
- Governance evolution roadmap
- Discussion of an organization’s governance maturity
- Definition of key roles in AI governance
- Interaction between technical and strategic teams
Exercise: Responsibility matrix (As-Is vs. To-Be)
- Microsoft Purview: data governance
- Microsoft Defender: protection of AI environments
- Entra ID: identity management
- Azure Policy: compliance automation
Exercise: Tool and console familiarization
- Risk identification in AI solutions
- Mitigation and monitoring controls
- Regulatory compliance and auditing
- Exercises to define baselines
- Best practices for establishing a governance blueprint
- Hands-on exercise: Defining an initial AI landing zone
- Exercise: Console familiarization to implement security and compliance baselines
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