ChatGPT for Executives

Course Overview: Our course lays a solid foundation with the fundamentals of AI and generative models, before diving deep into the art and psychology of prompt engineering. Executives will gain hands-on experience with a multitude of AI tools, mastering their nuances for optimum business application. The syllabus further extends to strategic AI utilisation in decision-making, leadership communication, and daily operations, culminating in a comprehensive study on ethics, transparency, and compliance in AI. An immersive learning experience awaits.

Course Objectives:

• Grasp the core concepts of AI, its evolution, and its ethical considerations.
• Master the craft of effective prompt engineering for varied business applications.
• Establish a consistent corporate tone and voice using AI.
• Enhance business communication tools, from emails to presentations, with AI’s touch.
• Leverage AI for strategic decision-making and financial forecasting.
• Integrate AI seamlessly into daily executive workflows and operations.
• Capitalise on AI for talent management, from acquisition to leadership development.
• Stay ahead with knowledge on AI ethics, compliance, and transparency.

Session 1: Foundations of AI & Generative Models

• AI Overview
• What is AI & AGI?
• Large Language Models: Basics and Beyond
• Language & Tools
  • ChatGPT, Claude, Bard, and Bing Overview
  • Differentiating AI Tools
  • Playground vs. Chat
  • Natural Language Processing (NLP) and NLU
• AI Evolution & Ethics
  • Ethical Considerations in AI
  • Understanding Model Biases
  • Addressing Bias: Pros, Cons & Challenges
• Historical Milestones: From Rule-based to Deep Learning
• AI Limitations & Applications
• Recognizing Model Limitations & Pitfalls
• Practical Use Cases Across Sectors

Session 2: Prompt Engineering Foundation

• Deep Dive & Psychology
• Crafting Effective Prompts
• The Psychology Behind Engaging Prompts
• Role-play & Proposals
• Role-play Simulations: “Act as a…”
• Crafting Proposals: “Propose a deal for…”
• Customer Understanding
• Engaging with Users: “From the Perspective of…”
• Transfer Learning & Context
• Chats and Transfer Learning
• Effective Prompt Crafting for Contextual Results
• Elicitation & Chain-of-Thought
• Techniques: “Explain like…”, “Expand on…”, “Act as…”
• Single & Multishot Prompts Exploration
• Feedback, Safety & Evaluation
  • Safety Measures with AI
  • Moderation & Harm Prevention
• Iterative Design & Feedback Loop
• Systematic Evaluation of AI Responses
• Handling Ambiguities
• Clarifying Prompts
• Avoiding Ambiguous Instructions Pitfalls

Session 3: Prompt Engineering for Universal Business Applications

• Introduction
  • The Importance of AI-aided Business Tools
  • Relevance of Prompt Engineering Across Functions
• AI in Email Communication
  • Crafting Effective Email Subject Prompts
  • Personalizing Email Content Using AI
  • Automation: Scheduling, Follow-ups, and Sorting with AI Assistance
• Document Creation & Refinement
  • AI-assisted Template Generation
  • Editing & Proofreading with AI: Tailoring Tone and Style
  • Generating Summaries and Abstracts
• Spreadsheets & Data Analysis
  • Data Entry & Automation Using AI
  • Predictive Analysis & Forecasting with AI-driven Prompts
  • Visual Representation: Charts, Graphs & Data Visualization Aided by AI
• Slide Presentation Enhancement
  • AI-Driven Design & Layout Suggestions
  • Content Refinement: From Bullet Points to Narratives
  • Audience Engagement: Crafting AI-aided Polls & Interactive Segments
• Social Media Strategy & Engagement
  • Tailoring Content for Different Platforms with AI
  • Engagement Analysis & Predictive Trends
  • Content Scheduling and Automation
• AI-assisted Collaboration Tools
  • Virtual Brainstorming & Idea Generation
  • Task Management & Prioritization Aided by AI
  • Meeting Notes & Minutes: AI-driven Summaries and Action Points
• Best Practices & Ethics
  • Keeping Authenticity in AI-Generated Communications
  • Respecting Privacy & Data Protection
  • Avoiding Over-reliance: When to Trust and When to Question AI Outputs

Session 4: Strategic AI for Decision Making

1. Crafting Strategic AI Prompts
   • AI Aided Decision Analysis: Risk, Opportunities, and Predictions
   • Generating SWOT Analysis & Predictive Market Changes Using AI
   • Evaluating ROI on AI Investments
2. Financial Forecasting & Investment
   • AI-assisted Budgeting and Financial Projections
   • Predictive Analysis of Market Trends and Changes
   • AI-driven Analysis of Investment Opportunities and ROI Projections
3. AI in Mergers and Acquisitions
   • Identifying Potential Business Matches using AI Analysis
   • Crafting AI-assisted Proposals and Deal Structures

Session 5: AI in Leadership Communication & Brand Image

1. Leadership Narratives & Messaging
   • Crafting AI-assisted Leadership Messages
   • Addressing Company Achievements, Changes, and Challenges
2. Public Relations & Reputation Management
   • Crafting AI-assisted Crisis Communications
   • Identifying Potential PR Issues and Crafting Proactive Responses
3. Annual Reports & Board Summaries
   • AI Assisted Data Compilation & Analysis
   • Crafting Concise Executive Summaries with AI Help

Session 6: Integrating AI in Daily Operations & Workflows

1. AI in Daily Executive Workflow
   • Setting AI Goals & KPIs for Executive Management
   • Time Management & Productivity Boosts with AI
2. AI-Driven Tools & Automation
   • Workflow Automation: Tasks & Processes
   • Exploring and Implementing AI Tools like Midjourney, Stable Diffusion
3. Future of AI in Business Operations
   • Updates on Bedrock, X.AI, and Auto-GPT
   • Preparing for AGI Integration and its Potential Impacts

Session 7: Talent Management & Employee Engagement with AI

1. Employee Well-being & Feedback
   • AI Aided Surveys and Feedback Collection
   • Identifying Employee Needs & Concerns through AI Analysis
2. AI in Talent Acquisition
   • AI in Candidate Shortlisting and Analysis
   • Crafting AI-assisted Onboarding Programs and Training Modules
3. AI-Driven Leadership Development
   • Identifying Leadership Potential through AI Analysis
   • Crafting AI-assisted Leadership Training and Development Plans

Session 8: Ethics, Transparency, and Compliance in AI

1. Transparency in AI Decisions
   • Ensuring Clarity in AI-driven Business Strategies
   • Communicating AI Decision-making Processes to Stakeholders
2. Addressing AI Ethics & Bias
   • Understanding Deep-rooted AI Biases
   • Crafting Company-wide AI Ethics Guidelines and Protocols
3. AI Legislation and Compliance
   • Staying Ahead of AI-related Laws and Regulations
   • Integrating AI in a Legally Compliant Manner

🌟 Footnotes:
1. Given the dynamic and rapidly evolving nature of Artificial Intelligence, this syllabus is subject to periodic revisions. While the syllabus might undergo modifications between its first publication and a course presentation, its core essence will remain steadfast. Our commitment is to ensure that the content always mirrors the latest advancements in AI and reflects the most contemporary generative AI tools available.

2. This syllabus serves as a comprehensive overview of potential topics for the course and is not an exhaustive list of what will be covered during any specific presentation. Each course iteration is tailored uniquely based on the needs and requirements of the attending delegates. As such, certain topics may be omitted if they are not deemed relevant for a particular group. Rest assured, regardless of the topics covered, the primary objectives of the course will always be met.