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Google: Google AI for Anyone

4.6 stars
90 ratings

A course for anyone to learn what AI is and how it works.

Google AI for Anyone
4 weeks
2–3 hours per week
Self-paced
Progress at your own speed
Enrollment closed
Future dates to be announced
Google AI for Anyone

About this course

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Google AI for Anyone teaches you about what Artificial Intelligence is. You’ll cut through the hype and learn about AI and Machine Learning.

As its name suggests, this course is for anybody -- you don’t need a computer science, mathematics or AI background to understand it. No programming skills or prior knowledge are needed.

We’ll take you through, from first principles what the fuss is all about, and you’ll get hands-on in playing with data to teach a computer how to recognize images, sounds and more.

As you explore how AI is used in the real world (recommender systems, computer vision, self-driving etc.) you will also begin to build an understanding of Neural networks and the types of machine learning including supervised, unsupervised, reinforcement etc. You will also see (and experience) what programming AI looks like and how it is applied.

From here you will be able to continue your journey through the emerging fields of AI and ML and related technologies. In so doing, you will formulate a basis to understand and discuss AI and ML related matters in your personal and professional life.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Basic Math, Machine Learning, Recommender Systems, Computer Vision, Computer Science, Artificial Neural Networks, Artificial Intelligence

What you'll learn

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  • What AI is and isn’t

  • How AI, ML, Deep Learning all fit together

  • Why Data is important

  • Applications of AI

  • What programming AI looks like - predicting numbers with regression, computer-assisted decisions with classification, gaming etc can make mistakes because of poor data

  • Neural Networks -- what they are and what they aren't. Basics. Forward and Backward propagation

  • Understand how Fairness and Ethics work in AI

  • The process of teaching a computer how to learn

  • How AI applications can make mistakes because of poor data

Syllabus

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Chapter 1.1 - What is AI?

Chapter 1.2 - Let's talk terminology and understand what AI, ML, DL are all about

Chapter 1-3 Ethics and Fairness

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Fundamentals of Google AI for Web Based Machine Learning Professional Certificate Program

Learn more 
Expert instruction
2 skill-building courses
Self-paced
Progress at your own speed
3 months
3 - 4 hours per week

Ways to take this course

Choose your path when you enroll.

Certificate

Free

Price

$299 USD

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Access to course materials

Unlimited

Limited

World-class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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