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Artificial Intelligence Foundations: Thinking Machines

Via LinkedIn Learning

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Overview

"Artificial Intelligence Foundations: Thinking Machines" offers a foundational exploration into the core principles of artificial intelligence, focusing on the concept of machines that can simulate human thought processes. This course introduces learners to the history, philosophy, and key technologies that underpin AI systems designed to ‘think’ and make decisions. Participants will dive into the basics of intelligent agents, problem-solving techniques, search algorithms, knowledge representation, and reasoning methods. The course explains how machines perceive, learn, and adapt to complex environments, drawing parallels...

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
Artificial Intelligence Foundations: Thinking Machines
Go to Class

via LinkedIn Learning

1 hour 37 minutes

Certificate Available

English

On-Demand

Instructor

Doug Rose

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