Foundations of AI Technologies

Wondering how Artificial Intelligence actually works behind the scenes? This essential micro-course demystifies the core technologies powering today’s intelligent systems. From Machine Learning to Deep Learning, Natural Language Processing to Computer Vision, you’ll get a hands-on introduction to the foundational concepts that drive modern AI.

While you're exploring these technologies, you'll also learn practical principles and tools that help you understand how AI models are trained and deployed.

Along the way, you'll experience micro-learning from top technology providers, and learn tips and tools for using AI yourself.

You'll gain a solid understanding of:

• The key terminologies and concepts in Machine Learning, Deep Learning, NLP, and Computer Vision.
• How algorithms and neural networks function—and why they’re central to AI development.
• The building blocks of AI models and how they learn from data.

By the end of this micro-course, you won’t just be familiar with AI technologies—you’ll be able to explain their core principles and confidently navigate the landscape of intelligent systems.

Competency:
Explain key concepts and terminologies in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision and explain the fundamental principles of algorithms and neural networks to train AI models.

Learning Objectives:

1. Define key concepts and terminologies in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision.
2. Explain the fundamental principles of algorithms, neural networks, and how they are used to train AI models.

New to AI? You’re in the right place. This course puts the “tech” in context—with an AI coach built into your learning experience, so you can learn while doing.