Foundations of AI and ML

Curious about the buzz surrounding Artificial Intelligence and Machine Learning? This essential micro-course cuts through the hype, providing a clear and concise introduction to the foundational concepts of AI and ML. While you're learning these new fundamentals, you'll also be learning AI tools and tips and tricks you can use right away.

You'll gain a solid understanding of:

• What truly differentiates AI from ML, and why it matters.
• Key terminology that will empower you to navigate the world of intelligent technologies.
• The crucial distinctions between narrow AI and general AI, including the exciting possibilities and current limitations.
  

By the end of this micro-course, you won't just know about AI and ML—you'll have a firm grasp of their basic principles and core concepts, setting the stage for deeper exploration into this transformative field.

Competency: Explain the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), effectively and accurately using key terminology, and differentiating between narrow AI and general AI with examples.

Learning Objectives:

1. Define Artificial Intelligence (AI) and Machine Learning (ML) and distinguish between the two fields.
2. Identify and explain key concepts and terminologies in AI and ML, including algorithms, models, datasets, and neural networks.
3. Describe the differences between narrow AI and general AI, including examples and current limitations

Confused about AI? You’re not the only one. Get started here with a “fundamentals first” learning experience. You have an AI coach built in to your course, so you can learn while doing!