Andrew No-Cofounder of coursera

#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng


CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist, Baidu and founding lead of Google Brain

We are excited to announce the launch of the new Machine Learning Specialization taught by Andrew Ng! This Specialization, created in partnership between DeepLearning.AI and Stanford University, is an updated and expanded version of Andrew’s original course, one of Coursera’s most popular courses that were taken by nearly 5 million learners.

This Specialization summarizes the advances made over the ten years since the original course was released and includes:

  • Graded assignments and lectures that teach Python instead of Octave/Matlab
  • 3 in-depth courses providing a broad introduction to machine learning, supervised learning, and unsupervised learning
  • Dozens of additional code notebooks and interactive graphs to help learners better understand concepts



By Anupam

Nov 30, 2022

The best thing this course did for me was to remove the enigma of machine learning. This specialization is not so much about going deep into individual machine-learning algorithms and techniques as it is about exposing a student to the broad spectrum of all the different kinds of problems for which machines can be programmed to learn a solution. Once a student completes this course, they have a very good idea of the kinds of problems that can be solved by letting machines learn how to solve those problems and specific algorithms/techniques that need to be used for that particular kind of problem. A student can then research additional resources for the specific problem they have at hand and take a deep dive into developing a working solution for their specific problem. This course enables you to start that journey by taking away the fear created by the belief that machine learning is something very challenging.



Reviewed on Sep 25, 2022

The content was detailed, explained thoroughly, and understandable. But, when it came to implementation, a few more labs similar to the structure of the previous course could have improved it more.

Reviewed on Sep 16, 2022

great introduction to machine learning. I tried to self study before but it didn’t work and thanks to this course I did understand now a bunch of things I cant wrap up my head with. Thank you for this

Reviewed on Jun 3, 2023

Andrew Ng is a great teacher. He makes learning so much easy even on complex subjects. Learnt a great deal about ML and particularly about Unsupervised Learning.

Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.

Excellent starting course on machine learning. Beats any of the so-called programming books on ML. Highly recommend this as a starting point for anyone wishing to be an ML programmer or data scientist.



What are the biggest tech trends you need to prepare for in 2023? Learn what technologies will gain the most traction in the new year and what you need to do to prepare.

We cover: 1. AI Everywhere 2. Parts of the Metaverse Will Become Real 3. Progress in Web3 4. Bridging the Digital and Physical World 5. Increasingly Editable Nature 6. Quantum Progress 7. Progress in Green Technology 8. Robots Will Become More Human 9. Progress in Autonomous System 10. More Sustainable Technology

Lenovo Late Night I.T. | AI: Reality check


There’s a right way and a wrong way to build an AI strategy. Two AI veterans reveal what every CIO should know. Watch the full season of Lenovo Late Night I.T. along with bonus features and a wealth of related resources at