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LinkedIn Learning

Artificial Intelligence Foundations: Thinking Machines

via LinkedIn Learning

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Overview

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Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Syllabus

Introduction
  • Welcome
1. What Is Artificial Intelligence?
  • Define general intelligence
  • The history of AI
  • Strong vs. weak AI
  • Plan AI
2. The Rise of Machine Learning
  • Machine learning
  • Artificial neural networks
  • Perceptrons
3. Finding the Right Approach
  • Match patterns
  • Data vs. reasoning
  • Unsupervised learning
  • Backpropagation
  • Regression
4. Common AI Programs
  • Robotics
  • Natural language processing
  • The Internet of Things
5. Mixing with Other Technologies
  • Big data
  • Data science
6. What Has Changed?
  • Generative AI
  • Foundation models
  • Self-supervised learning
7. Avoiding Pitfalls
  • Pitfalls
Conclusion
  • Next steps

Taught by

Doug Rose

Reviews

4.7 rating at LinkedIn Learning based on 9057 ratings

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