Leading AI Adoption

Leading AI Adoption is a one-day, immersive program designed for organizational leaders seeking to drive impactful change through artificial intelligence.

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Essential Skills Gained

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Understand how AI technologies like machine learning, automation, and analytics can transform organizational strategy.

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Identify and map AI opportunities to improve data-driven decision-making across departments.

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Lead diverse teams through the AI adoption process and overcome common barriers to change.

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Align AI initiatives with broader business goals to create a future-ready organization.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

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

Description

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.

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Course Outline

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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

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.