Duration: 1 Day

Description

This course empowers business users to significantly enhance their productivity and output quality by mastering effective AI prompting and foundational AI interaction techniques. Participants will learn to craft clear, concise, and strategic prompts for various AI tools, understand how to refine AI outputs, and, critically, how to measure the tangible improvements these techniques bring to their daily workflows.

Audience

This course is designed for business professionals, team leaders, and organizational decision-makers who want to harness the power of AI to improve productivity, communication, and decision-making. It is especially valuable for those with little to no technical background who are eager to apply AI tools effectively in day-to-day operations. Whether you’re in marketing, operations, HR, or strategy, this course will help you develop practical prompting skills, assess AI-generated outcomes, and integrate AI responsibly into your workflows.

Objectives

  • Understand the core principles of effective AI prompting
  • Apply basic techniques to improve AI output quality and relevance
  • Develop strategies for integrating AI tools seamlessly into business processes
  • Quantify the impact of AI adoption on personal and team efficiency and effectiveness
  • Identify opportunities for leveraging AI to solve common business challenges

Prerequisites

Participants should have basic familiarity with common business software (e.g., word processors, spreadsheets) and a willingness to experiment with AI tools.

Course Outline

Module 1: Introduction to Effective AI for Business

  • The AI Productivity Revolution
  • Measuring Effectiveness with AI Tools
  • Mindset for AI Success

Module 2: Foundations of Effective Prompting

  • Anatomy of a Good Prompt
  • The Power of Persona and Tone
  • Setting Constraints and Examples
  • Crafting Your First Effective Prompts

Module 3: Basic Techniques for Prompt Refinement

  • Iterative Prompting
  • Chain-of-Thought Prompting
  • Output Formatting and Structure
  • Refining AI Outputs through Iteration and Formatting

Module 4: Measuring AI Effectiveness

  • Why Measure?
  • Key Metrics for Business Users
  • Time Savings
  • Quality Improvement
  • Output Volume/Throughput
  • Practical Measurement Tools
  • Spreadsheet-Based Tracking
  • Simple Surveys/Feedback Loops
  • Setting Up and Using an AI Effectiveness Tracker

Module 5: Advanced Applications and Integration

  • AI for Content Creation
  • AI for Data Analysis
  • AI for Communication
  • Applying AI to Real-World Business Scenarios

Module 6: Ethical Considerations and Best Practices

  • Data Privacy and Confidentiality
  • Bias and Accuracy
  • Responsible AI Use

Module 7: Next Steps and Continuous Improvement

  • Staying Updated with AI Trends
  • Fostering an AI-Driven Culture