Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Introduction to Artificial Intelligence (AI)

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine l...
4.7
4.7/5
(7,712 reviews)
135,710 students
Created by

8.8

Classbaze Grade®

N/A

Freshness

8.7

Popularity

8.5

Material

Introduction to Artificial Intelligence (AI)
Platform: Coursera
Video: 2h 3m
Language: English

Best Machine Learning classes:

Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.7 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.5 / 10
Video Score: 7.9 / 10
The course includes 2h 3m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 48 minutes of 749 Machine Learning courses on Coursera.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

14 articles.
0 resource.
0 exercise.
6 tests or quizzes.

In this page

About the course

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

What can you learn from this course?

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Machine Learning knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Introduction to Artificial Intelligence (AI) ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $13.6 of 749 Machine Learning courses. So this course is 100% cheaper than the average Machine Learning course on Coursera.

Will I be refunded if I'm not satisfied with the Introduction to Artificial Intelligence (AI) course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Rav Ahuja?

Rav Ahuja has created 29 courses that got 2,057 reviews which are generally positive. Rav Ahuja has taught 746,131 students and received a 4.64 average review out of 2,057 reviews. Depending on the information available, we think that Rav Ahuja is an instructor that you can trust.
IBM Skills Network
IBM
Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data Science, Cloud and Blockchain. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

8.8

Classbaze Grade®

N/A

Freshness

8.7

Popularity

8.5

Material

Platform: Coursera
Video: 2h 3m
Language: English

Classbaze recommendations for you