AI is transforming every aspect of work and life—but how does it really work, and what does it mean for you? In AI Uncovered, you’ll explore the foundational principles behind AI, giving you the knowledge to understand its impact and potential without needing a technical background.
Designed for busy professionals and lifelong learners, this course is accessible anytime, anywhere. Whether you’re watching on your PC or mobile device, or listening podcast-style while on the go, AI Uncovered adapts to your lifestyle, making it easy to fit learning into your schedule.
What you’ll learn:
– The fundamental principles of AI and its applications.
– Why understanding concepts like Fairness, Accountability, and Transparency matters.
– How AI reflects societal norms—and how to use it responsibly.
– Real-world examples to contextualise key ideas, from ethical dilemmas to cutting-edge innovations.
By the end of this course, you’ll have a solid grasp of the principles driving AI and the confidence to navigate its challenges and opportunities. Whether you’re preparing for AI’s role in your industry or simply curious about its future, this is your essential starting point.
Curriculum
- 4 Sections
- 43 Lessons
- 10 Weeks
- Practical Skills for AI Mastery5
- Understanding Generative AI & Its Applications11
- 2.0Interacting With AI
- 2.1Let’s Chat: What AI Applications Should You Choose?
- 2.2How To Send A Prompt
- 2.3Prompt Engineering
- 2.4Why Do Prompts Matter?
- 2.5Structuring Prompts
- 2.6Good Prompt vs Bad Prompt
- 2.7Prompt Checklist
- 2.8Generative AI For Writing
- 2.9Adapting Generative AI For Your Needs
- 2.10Ignition Guide: Prompts Engineering Fundamentals
- Navigating AI Ethics and Avoiding Pitfalls21
- 3.0Understanding The Pitfalls Of Generative AI
- 3.1Generative AI & Misinformation
- 3.2Identifying Misinformation
- 3.3Stopping The Spread Of Misinformation
- 3.4Learning Lessons From Overreliance On Generative AI
- 3.5Case Study: Isn’t It (AI)ronic
- 3.6The FAT Framework
- 3.7Fairness In AI
- 3.8Case Study: Biases In Predictive Policing
- 3.9Accountability In AI
- 3.10Case Study: AI Used To Deny Healthcare Claims
- 3.11Transparency In AI
- 3.12Case Study: AI Recruiting Tool Showing Bias Against Women
- 3.13FAT Framework Summary
- 3.14AI & Intellectual Property
- 3.15AI & Copywrite Law
- 3.16AI & Fair Use
- 3.17AI Legal Best Practices
- 3.18Fair Use vs Intellectual Property
- 3.19Best Practices for Ethical AI Use
- 3.20Let’s Chat: How To Secure Your Data
- Shaping the Future of AI6

