Chevron Left
Back to Introduction to Artificial Intelligence (AI)

Learner Reviews & Feedback for Introduction to Artificial Intelligence (AI) by IBM

4.7
stars
21,807 ratings

About the Course

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI....

Top reviews

SP

Oct 2, 2025

Too much repetition of topics, you could just merge the novel topics. However the quality of teaching was really good and the course was thoroughly planned which served as a great learning path.

WL

Jan 16, 2025

This is a nice introduction course. Adding a little more technical details will be helpful for people to get started besides the elaboration of the terms. Thanks to the team for the amazing contents!

Filter by:

3901 - 3925 of 4,956 Reviews for Introduction to Artificial Intelligence (AI)

By PURNA C S

•

Apr 12, 2025

5

By ANGIE X B B

•

Mar 24, 2025

.

By Lilian b

•

Mar 24, 2025

.

By DIANA C M C

•

Feb 26, 2025

.

By Thauany B

•

Feb 19, 2025

.

By G'ofurjonov M R o

•

Feb 11, 2025

.

By Mahesh V

•

Feb 3, 2025

.

By LEONARDO M H

•

Jan 21, 2025

.

By LALIT K Y

•

Oct 10, 2024

d

By Archit J

•

Oct 3, 2024

.

By Prasoon K P

•

Sep 22, 2024

w

By Srinivas R

•

Jul 17, 2024

.

By Kavita J

•

Mar 20, 2024

k

By Subhadeep D

•

Nov 14, 2022

E

By Sindhu

•

Oct 18, 2022

O

By Thilak R J A

•

Oct 1, 2022

.

By Manjusha A

•

Nov 16, 2021

i

By Sneha D

•

Aug 19, 2021

5

By Garima J

•

Aug 12, 2021

By Bandar M A M

•

Nov 17, 2020

E

By Noura M A

•

Oct 14, 2020

w

By ALI m A

•

Jun 28, 2020

ا

By Jaladi N

•

Jun 2, 2020

g

By Fabio A P R

•

Nov 7, 2019

G

By Sajal R

•

May 27, 2025

This course provided a strong foundation in the subject matter and was well-structured with clear learning objectives. The mix of lectures, hands-on activities, and assessments helped reinforce the material effectively. I particularly appreciated the real-world examples and the practical use of AI tools, which made the content highly relevant. One area for improvement could be more opportunities for interactive discussions or peer collaboration to deepen understanding. Additionally, providing more case studies or industry-specific applications would make the course even more impactful. Overall, it was a valuable learning experience that I would recommend to others interested in the topic."