Learning Track
Practitioner Track
Master the fundamentals of AI assistance, prompt engineering, and workflow integration.
What You'll Learn
- Build strategic business cases for AI
- Assess organizational AI readiness
- Navigate ethical AI considerations
- Establish governance frameworks
- Design AI operating models
- Plan platform investments
Modules
AI Strategy and Business Value 101
Learn to identify high-impact GenAI opportunities, understand when GenAI is the right tool, and build compelling business cases.
GenAI Readiness & Use Case Prioritization
Evaluate your organization's GenAI readiness, learn frameworks for prioritizing use cases, and understand how to start with quick wins.
Data Literacy for GenAI
Understand how data flows through GenAI systems, learn to curate effective context, protect sensitive information, and verify AI outputs against source data.
Responsible GenAI and Ethics Essentials
Understand core GenAI ethical principles, recognize common risks including hallucination and misuse, and apply an ethical decision checklist to real-world scenarios.
AI Governance in Practice & Escalation
Learn to navigate AI governance structures, document use cases for approval, and know when and how to escalate issues.
AI Operating Models: CoE, Federated, or Both?
Understand how organizations structure AI efforts and learn how AI Champions collaborate within centralized, federated, or hybrid models.
Prompt Engineering for Business Results
Master prompt design patterns to get reliable, high-quality outputs from AI—covering structure, specificity, iteration, and common failure modes.
The GenAI Platform: Reusable Components & Patterns
Learn how to leverage reusable GenAI components—prompt libraries, RAG infrastructure, and LLM gateways—to accelerate delivery and scale GenAI across the enterprise.