Learning Experience



The Learning Lab experience is supported by both asynchronous and synchronous components. Each part includes a set of resources, an asynchronous discussion, and an interactive live session, all of which culminate in the development of a project to apply learning to local and specific contexts in support of the learning objectives.

Schedule

Part 1: AI Readiness and Advancing Safe AI Initiatives

November 3, 2025 | 3:00–4:30 p.m.ET

This session introduces the core elements of AI readiness, helping institutions align strategy, infrastructure, and workforce capabilities to support responsible AI adoption. Participants will explore key risk factors, governance models, and ethical practices to guide safe, transparent, and values-driven AI integration across campus.

Learning Objectives:

  • Assess your institution’s AI readiness across infrastructure, data, and workforce
  • Align AI initiatives with strategic goals and academic priorities
  • Identify and manage key risks such as bias, privacy, and model drift
  • Build governance structures and ethical practices to support responsible AI use

Part 2: Managing Security Operations, Privacy, and Risk with AI

November 6, 2025 | 3:00–4:30 p.m.ET

This session focuses on integrating AI into your institution’s security operations while safeguarding privacy and reducing risk. Participants will explore practical strategies for threat detection, data protection, and governance to ensure AI systems are secure, compliant, and trustworthy across their life cycle.

Learning Objectives:

  • Integrate AI into security operations to enhance threat detection and incident response
  • Identify and mitigate privacy risks using techniques like differential privacy and data minimization
  • Evaluate AI-related risks across the life cycle, including bias and adversarial threats
  • Establish governance structures to ensure secure, compliant AI deployment

Part 3: Leveraging Microsoft Investments for Security and Privacy

November 13, 2025 | 3:00–4:30 p.m.ET

This session explores how to use Microsoft’s security, privacy, and automation tools to protect institutional data and systems. Participants will learn how to configure Microsoft 365 and Azure features, apply privacy-first governance with Purview, and integrate AI-driven tools for proactive risk management.

Learning Objectives:

  • Configure Microsoft 365 and Azure security features to strengthen institutional defenses
  • Use Microsoft Purview to manage sensitive data and support privacy-first governance
  • Apply Microsoft tools to meet compliance requirements and manage identity and access
  • Integrate AI and automation to detect risks and streamline incident response

Part 4: Integrating AI Readiness, Security, and Microsoft Tools into a Unified Strategy

November 20, 2025 | 3:00–4:30 p.m.ET

This session brings together the core elements of AI readiness—governance, security, privacy, and infrastructure—into a cohesive institutional strategy. Participants will learn how to align tools, policies, and teams to support safe, ethical, and scalable AI deployment across their organizations.

Learning Objectives:

  • Combine security, privacy, and governance into an institution-wide AI strategy
  • Align cross-functional teams around shared goals for responsible AI use
  • Apply Microsoft tools to operationalize policies across academic and administrative units
  • Design a roadmap for scalable, ethical, and sustainable AI deployment

Lab Project/Assignments

Learners will create a one-page Secure AI Implementation Plan tailored to your institution, unit, or professional context. This short, practical exercise is designed to help you synthesize what you’ve learned across AI readiness, risk management, governance, and Microsoft tools. You’ll define a specific AI use case—such as a teaching tool, chatbot, or predictive model—then outline the related risks, identify relevant security and privacy considerations, and propose tools or governance practices to support a secure rollout. By the end of the session, you’ll have a clear, actionable artifact you can take back to your team as a foundation for future planning or decision-making.