YoVDO

Artificial Intelligence Foundations: Thinking Machines

Offered By: LinkedIn Learning

Tags

Artificial Intelligence Courses Data Science Courses Big Data Courses Machine Learning Courses Robotics Courses Neural Networks Courses Self-supervised Learning Courses Generative AI Courses Foundation Models Courses

Course Description

Overview

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

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent