Applied Agentic AI for Organizational Transformation

Explain the Most Relevant AI Platform or Approach for a Specific Sector and Its Application to Agentic AI Use Cases

Evaluate the Key Factors Influencing the Selection of Open-Source Versus Proprietary AI Platforms Within a Specific Organizational Context

Develop a Landing Page Using AI

Prompt AI to Create a Visual Mock-Up and Functional HTML Code

Activate the Code by Saving and Reuploading It

Explain a New AI Workflow Within an Organization

Construct a Use Case Demonstrating Agent-Based Interaction Across Integrated Tools

Write a Structured Email-Style Proposal That Outlines a Specific Use Case for an AI Agent Within an Organizational Context

Analyze a Business Workflow to Determine How an AI Agent Could Improve Efficiency, Reduce Costs, or Enhance User Experience

Design an Integration Approach That Specifies How the Proposed Agent Would Connect With Existing Systems, Platforms, or Application Programming Interfaces (APIs)

Evaluate the Potential Risks, Ethical Considerations, and Success Metrics Associated With Deploying the Proposed AI Agent

Analyze Organizational AI Systems and Workflows to Identify Potential Cybersecurity Risks Using the National Institute of Standards and Technology (NIST) Cybersecurity Framework Categories

Evaluate Current Security Practices to Identify Gaps in Access Control, Monitoring, Response, and Recovery Capabilities

Develop a Structured AI Risk and Security Plan, Including Stakeholders, Training, and Incident Response Procedures

Recommend Actions to Improve Organizational Readiness Across Identify, Protect, Detect, Respond, and Recover Domains

Analyze Organizational AI Systems and Workflows to Identify Potential Cybersecurity Risks

Evaluate How Accountability Is Defined and Enforced Alongside Security Practices and Governance in AI

Describe the Organizational Context, Including Industry, Organization Type, and Department, Relevant to a Proposed AI-Driven Product Design Initiative

Summarize the Current Product Design Workflow Within an Organization to Establish a Baseline for Improvement

Select an Appropriate AI Technology for Integration Into a Product Design Process Based on Its Capabilities and Relevance

Develop a Structured Plan Outlining How AI Can Be Integrated Into a Product Design Workflow to Improve Efficiency, Effectiveness, or Quality

Identify an Appropriate AI Agent Architecture for a Given Organizational Context and Explain Key Trade-Offs

Identify Opportunities for AI-Enabled BPO and Describe Their Potential Organizational Impact

Propose Measurable Key Performance Indicators (KPIs) That Evaluate the Effectiveness of an AI System in Relation to Business Outcomes

Describe the Organizational Context, Including Sector, Organization Type, and Department, Relevant to an AI Implementation

Summarize the Purpose and Functionality of a Proposed AI System Within a Business Workflow

Write Three to Five Key Performance Indicators (KPIs) That Measure the Effectiveness of an AI Implementation

Evaluate How the Selected KPIs Align With Business Goals and Indicate Whether the AI System Is Achieving Its Intended Outcomes

Identify Applicable Regulatory Frameworks (e.g., GDPR, CCPA, HIPAA) Relevant to a Specific AI Use Case

Analyze the Risks Associated With Deploying AI Systems, Including Both Compliance and Operational Risks

Apply Appropriate Testing Strategies (e.g., Sandboxing, A/B Testing, Safety Checks) to Evaluate AI System Behavior

Develop a Comprehensive AI Governance Plan That Integrates Regulations, Testing, Risk Mitigation, and Documentation Practices

Create Guiding Questions That Identify Key Regulatory and Implementation Considerations in Real-World AI Healthcare Scenarios

Classify AI Use Cases Using the Risk–Speed Quadrant Framework

Explain How AI Can Be Strategically Integrated Into Organizational Functions to Create Business Value

Evaluate the Suitability of AI Technologies for Specific Organizational Use Cases

Analyze the Cost, Security, and Operational Implications of AI Adoption

Assess the Human and Organizational Factors That Influence Successful AI Implementation

Synthesize Course Concepts Into a Structured Approach for Organizational AI Adoption

Evaluate Ethical Risks in a Proposed AI System by Identifying a Potential Issue, Assessing Its Business Impact, and Recommending an Appropriate Mitigation Strategy