Everyday AI Concepts
49mGeneral2024-11-05
Authors

Doug Rose
Teaching Fortune 500s and professionals how to lead change
Course details
From chatbots to predictive analytics, artificial intelligence is transforming the world of work. This course is designed to help you understand key AI concepts and discover how artificial intelligence can benefit your team, organization, products, and services. Instructor Doug Rose breaks down machine learning, predictive AI and generative AI, detailing what they can do and how you can get the most out of them. He also takes a look at legal and ethical issues: Who owns what the machine learned? Can you teach the system values? And more.
Learning objectives
Explain the difference between artificial intelligence and human intelligence.
Compare artificial neural networks and traditional machine learning.
Explain the difference between supervised and unsupervised learning.
Understand why it's crucial to create systems that align with human values.
Learning objectives
Explain the difference between artificial intelligence and human intelligence.
Compare artificial neural networks and traditional machine learning.
Explain the difference between supervised and unsupervised learning.
Understand why it's crucial to create systems that align with human values.
Skills covered
Artificial Intelligence for BusinessBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - What is artificial intelligence
1. Machine Learning
- 02 - A machine that learns by doing (and redoing)
- 03 - Scale up and learn from massive datasets
2. Predictive Artificial Intelligence
- 04 - Accurately predict what someone will do
- 05 - Create a data model of what you've learned
- 06 - Train the system on what you know
- 07 - Let the machine discover what you don't know
- 08 - Give the machine an incentive to be right
3. Generative Artificial Intelligence
- 09 - Build a system that generates something new
- 10 - Create a foundation model of everything
- 11 - Let the machine learn without you
- 12 - Learn to get the most from the system
4. Legal and Ethical Issues
- 13 - Who owns what the machine learned
- 14 - Can a machine make consequential decisions
- 15 - Can you teach the system values
Conclusion
- 16 - Next steps in AI concepts
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