AI for Everyone: A Non-Technical Introduction to Artificial Intelligence

Course Description:
Curious about Artificial Intelligence but don’t have a technical background? This 1-day workshop is designed just for you. A Non-Technical Introduction to Artificial Intelligence offers a clear and practical understanding of AI concepts, applications, and real-world impact — all without complex jargon or programming.

Whether you’re a business leader, HR professional, marketer, educator, or simply interested in emerging technologies, this course will help you grasp how AI works, what it can (and can’t) do, and how it is transforming industries. Through engaging discussions, relatable examples, and hands-on activities, you’ll walk away with the confidence to talk about AI and explore its potential in your professional context.

Key Takeaways:

• Understand what AI is and how it differs from machine learning and deep learning
• Discover common myths and misconceptions about AI
• Explore real-world examples of AI in business, healthcare, education, and everyday life
• Learn how AI is shaping the future of work and decision-making
• Discuss ethical considerations, risks, and the human side of AI
• Gain a framework for evaluating AI opportunities in your organization

Who Should Attend:
This course is ideal for non-technical professionals, decision-makers, managers, entrepreneurs, and anyone who wants a foundational understanding of AI without diving into code.

Course Modules:

Module 1: What is AI? (And What It’s Not)

• AI vs. Automation vs. Machine Learning vs. Deep Learning
• Real-world examples of AI across industries
• Myths and misconceptions about AI

Module 2: How AI Works (Without Coding)

• Basics of algorithms, models, and data
• How machines learn from data
• The role of training and feedback loops

Module 3: AI in Everyday Business

• AI use cases in Marketing, HR, Sales, and Operations
• AI in Customer Experience and Support
• AI for data analysis and business intelligence

Module 4: Ethics, Bias & Responsible AI

• Ethical challenges in AI
• Bias in data and algorithms
• Privacy, transparency, and accountability

Module 5: Implementing AI in Your Organization

• Identifying areas to automate or optimize
• How to start small with AI
• Working with AI vendors and consultants

Module 6: Tools & Trends

• Overview of popular no-code/low-code AI tools
• Generative AI: ChatGPT, Copilot, DALL·E, and more
• The future of AI and skills needed in the workforce

🛠️ Interactive Elements & Activities:

• AI Use Case Brainstorm for your department
• Group discussions: Risks & Ethics
• Hands-on demo with AI tools (no coding!)

Case studies of successful AI adoption

Learning Objectives:

By the end of this course, participants will be able to:

• Understand core concepts of AI, Machine Learning (ML), and Data Science
• Identify AI use cases relevant to their roles and industries
• Evaluate opportunities for AI-driven process improvements
• Communicate effectively with technical teams on AI projects
• Make informed decisions about AI tools and vendors

Course Modules:

Module 1: What is AI? (And What It’s Not)

• AI vs. Automation vs. Machine Learning vs. Deep Learning
• Real-world examples of AI across industries
• Myths and misconceptions about AI

Module 2: How AI Works (Without Coding)

• Basics of algorithms, models, and data
• How machines learn from data
• The role of training and feedback loops

Module 3: AI in Everyday Business

• AI use cases in Marketing, HR, Sales, and Operations
• AI in Customer Experience and Support
• AI for data analysis and business intelligence

Module 4: Ethics, Bias & Responsible AI

• Ethical challenges in AI
• Bias in data and algorithms
• Privacy, transparency, and accountability

Module 5: Implementing AI in Your Organization

• Identifying areas to automate or optimize
• How to start small with AI
• Working with AI vendors and consultants

Module 6: Tools & Trends

• Overview of popular no-code/low-code AI tools
• Generative AI: ChatGPT, Copilot, DALL·E, and more
• The future of AI and skills needed in the workforce

 Interactive Elements & Activities:

• AI Use Case Brainstorm for your department
• Group discussions: Risks & Ethics
• Hands-on demo with AI tools (no coding!)

Case studies of successful AI adoption

Target Audience:

• Business Professionals
• HR & Recruiters
• Marketing & Sales Teams
• Operations Managers
• Project Managers
• Executives & Decision-Makers
• Customer Support Leaders