Leading AI Adoption

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