Prompt Engineering for Directors & VPs

Leading AI Adoption is a one-day, immersive program designed for organizational leaders seeking to drive impactful change through artificial intelligence. This course equips decision-makers with the strategic insights and practical tools needed to integrate AI across departments, enhance operations, and foster a culture of innovation.
Through a mix of lectures, case studies, and interactive exercises, participants will explore real-world applications of AI and develop a leadership roadmap to guide successful AI adoption across their organization.

Audience Profile

• C-suite Executives (CEO, CIO, CTO, CDO, CFO)
• Vice Presidents and Managing Directors
• Business Unit Leaders
• Strategic Advisors and Innovation Officers
• Enterprise Architects
• Senior Consultants

At Course Completion

• Understand how AI technologies like machine learning, automation, and analytics can transform organizational strategy.
• Identify and map AI opportunities to improve data-driven decision-making across departments.
• Lead diverse teams through the AI adoption process and overcome common barriers to change.
• Align AI initiatives with broader business goals to create a future-ready organization.
• Evaluate practical AI tools for operational efficiency, customer engagement, and innovation.
• Develop and implement an AI adoption roadmap tailored to their department or organization.
• Measure the impact of AI initiatives and plan for scalable, long-term transformation.

Prompt Engineering for Directors & VPs Outline

1. Introduction and Objectives (30 minutes)

Welcome and Agenda Overview

• Workshop structure and timeline
• Introduction to the hands-on approach
• Setting expectations for interactive learning
• Quick round of participant introductions and AI experience levels
• Distribution of workshop materials and setup confirmation

Understanding Generative AI

• Current state of generative AI technology
• Key players and their unique strengths (ChatGPT, Claude, Bard)
• Business impact and ROI examples
• Ethical considerations and responsible AI usage
• Common misconceptions and limitations

Workshop Objectives

• Learning effective prompt engineering techniques
• Understanding AI model capabilities and limitations
• Developing practical skills for workplace implementation
• Creating a personal prompt engineering toolkit
• Establishing success metrics for AI implementation

2. Use Case 1: Basic Prompt Engineering (45 minutes)

Foundations of Prompt Engineering

• Basic prompt structure and components
• Clear vs. ambiguous prompts with examples
• Role of context and specificity
• Common pitfalls to avoid
• Live demonstration of prompt improvement

Hands-on Activity: Basic Prompts

• Writing clear, specific instructions
• Using proper formatting and structure
• Basic system prompts
• Simple task automation
• Real-world scenario exercises

Group Discussion and Review

• Sharing effective prompts
• Common challenges encountered
• Best practices identified
• Cost and efficiency considerations
• Q&A session

3. Use Case 2: Intermediate Prompt Engineering (45 minutes)

Advanced Prompt Techniques

• Chain-of-thought prompting with examples
• Role-based prompting strategies
• Temperature and creativity settings explained
• Output formatting control
• Consistency and reliability techniques

Interactive Exercise: Refining Prompts

• Improving basic prompts using learned techniques
• Adding constraints and parameters
• Implementing role-based scenarios
• Testing different approaches
• Documenting successful patterns

Collaborative Analysis

• Compare and contrast results
• Identify successful strategies
• Troubleshooting common issues
• Performance optimization tips
• Cost-benefit analysis of different approaches

4. Use Case 3: Advanced Prompt Engineering (45 minutes)

Complex Prompt Strategies

• Multi-step reasoning techniques
• Few-shot learning with practical examples
• Handling edge cases and exceptions
• Error handling and validation methods
• Integration with existing workflows

Advanced Workshop Activity

• Creating complex workflow prompts
• Implementing guardrails and safety checks
• Developing reusable templates
• Quality assurance techniques
• Building prompt libraries

Performance Analysis

• Evaluating prompt effectiveness
• Measuring output quality and consistency
• Optimization strategies
• Advanced troubleshooting
• Scaling considerations

5. Individual Use Case Development (60 minutes)

Personal Project Planning

• Identifying relevant use cases from participant’s work
• Setting project goals and objectives
• Defining success criteria and metrics
• Planning approach and implementation strategy
• Risk assessment and mitigation

Individual Development Time

• Creating custom prompts for specific needs
• Testing and iteration process
• Documentation and version control
• Preparing presentation
• One-on-one coaching available

Presentation and Feedback

• Short presentations of solutions
• Peer feedback and suggestions
• Instructor recommendations
• Success stories and lessons learned
• Implementation planning

6. Wrap-Up and Next Steps (15 minutes)

Key Takeaways

• Summary of core concepts
• Best practices review
• Common pitfalls to avoid
• Success strategies
• ROI measurement approaches

Resources and Support

• Reference materials and guides
• Online resources and communities
• Support channels and contact information
• Further learning paths
• Access to workshop materials

Final Q&A and Closing

• Addressing remaining questions
• Workshop evaluation collection
• Contact information exchange
• Next steps and follow-up plan
• Future workshop opportunities