Course Content
01Module 1: The EDGE imperative and AI-Native context
Understand exponential, disruptive, generative, and emergent forces and why AI fluency changes work and competition.
- EDGE forces
- AI-Native organizations
- Stable, evolving, and frontier use cases
- Business implications
02Module 2: AI concepts and core architectures
Demystify AI, machine learning, generative AI, LLMs, RAG, composite AI, agents, copilots, and levels of automation.
- AI and ML
- Generative AI and LLMs
- RAG
- Composite AI
- Agents
- Automation levels
03Module 3: Responsible AI, governance, privacy, and security
Apply fairness, transparency, accountability, data protection, and security principles to everyday AI use.
- Responsible AI
- Ethical decisions
- Data privacy
- GDPR and CCPA awareness
- Security
- Human oversight
04Module 4: Practical prompting and AI application
Create, test, and improve prompts for text, images, video, RAG, questions, feedback, and risk discovery.
- Prompt structure
- Context and constraints
- RAG prompting
- Multimodal prompting
- Evaluation
- Iteration
05Module 5: Workflow redesign and transition
Select realistic solution patterns, redesign a workflow with human judgment, assess vendors, and create a personal implementation plan.
- Workflow redesign
- Human-AI collaboration
- Solution patterns
- Vendor evaluation
- Opportunity summary
- Personal roadmap