Prompt Engineering & AI Awareness for Decision Makers

Module 1: Understanding AI, LLMs, and Their Business Impact

• Definitions: AI, Machine Learning, Generative AI, LLMs
• Key AI capabilities and limitations
• Real-world applications in different sectors
• Strategic implications of AI adoption

Module 2: Introduction to Prompt Engineering

• What is prompt engineering?
• Types of prompts: zero-shot, few-shot, chain-of-thought
• Why prompts matter for accuracy and efficiency
• Case examples: Marketing, Legal, Operations

Module 3: Prompt Design Techniques for Business Users

• Frameworks: CLEAR, PASTEL, SPEC, REACT
• Designing clear, goal-oriented prompts
• Iteration, testing, and prompt tuning
• Hands-on practice with ChatGPT or Claude

Module 4: Prompt Engineering for Core Business Functions

• Automating business processes
• Summarization, ideation, synthesis, and drafting
• Domain-specific use cases (HR, Finance, Legal, Strategy)
• Prompt libraries and templates

Module 5: Human-AI Collaboration & Decision Making

• Augmenting vs replacing decisions
• Interpreting and validating AI outputs
• AI bias, hallucinations, and the “illusion of accuracy”
• Decision checkpoints and human oversight

Module 6: Ethics, Trust, and Responsible AI Use

• AI governance frameworks
• Data privacy and intellectual property issues
• Transparency, accountability, and explainability
• Regulatory landscape and global standards

Module 7: Building an AI Strategy for the Enterprise

• AI maturity model and readiness assessment
• Identifying high-impact use cases
• Buy vs build decisions
• Budgeting, staffing, and change management

Module 8: Managing Risks & Compliance in AI Deployment

• Risk categories: operational, reputational, legal
• Risk mitigation strategies
• AI audits and monitoring
• Cross-functional governance boards

Module 9: Future Trends in AI & Emerging Technologies

• Multimodal AI, agents, autonomous systems
• AI + IoT, AI + Blockchain, AI + Robotics
• Personalized AI and workplace automation
• Preparing for disruption

Module 10: Capstone Workshop – AI Leadership Simulation

• Participants craft a prompt strategy for a business problem
• Role-play AI implementation scenarios
• Group feedback and reflection
• AI-readiness action plan for participants’ own organizations