
What is AI?
Learn how AI systems predict and adapt, while automation simply follows rules. Understand why this distinction is key to identifying and minimizing risks.

Key Roles and Responsibilities
Learn how to take responsibility for overseeing the proper application of AI systems. Understand the challenges you may face across different roles when interacting with AI.

Vocabulary and Technical Framing
Learn the core vocabulary words that you will encounter when minimizing AI risks and overseeing proper governance practices.
About the course
This course offers a comprehensive overview of the key risks and responsibilities associated with working with AI. You will explore how AI systems can fail or behave unpredictably, including issues like bias, hallucinations, and drift. The course will equip you with the insight to determine the reliability of AI systems, providing you with the knowledge to recognize when an output should be trusted and when it should not. By the end, you’ll gain the confidence and knowledge to engage with AI ethically and responsibly.
Curriculum
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1
Introduction and Framing
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Introduction
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AI in Everyday Work
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The AI Lifecycle
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Key Roles and Responsibilities
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Benefits and Risks of AI
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AI Risk Categories and Enterprise Examples
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Common Misconceptions About AI
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Vocabulary and Technical Training
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Closing Summary
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2
AI Ethics
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Introduction
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Why Ethical AI Matters
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Bias in Data and Design
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Transparency and Explainability
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Ethical Dilemmas in Practice
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Closing Summary
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3
Operational & Technical Training
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Introduction to Operational Use
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Technical Vocabulary and Workplace Concepts
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AI as Workplace Infrastructure
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Safe Prompting and Data Protection
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Shadow AI and Cybersecurity Risks
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Managerial Decision Points
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4
Conclusion
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Conclusion
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Understand the tech shaping your work
This course gives you the confidence to work with AI tools without second-guessing. Learn how they behave, where they fail, and what you can do to stay ahead.
$100.00