Starting Your AI Career Has Never Been Easier
One of the world’s most popular machine learning courses is getting updated to become even more accessible for beginners.
Machine Learning Course
Now, #BreakIntoAI with the new Machine Learning Specialization from DeepLearning.AI and Stanford Online.
Launching in June on Coursera
Andrew Ng
Top Instructor
Learn essential real-world skills from AI pioneer Andrew Ng, who co-founded Google Brain and Coursera, led AI research at Baidu, and has impacted millions of AI learners.
Be the first to know when it’s live
Newly rebuilt, more relevant than ever, and expanded into 3 courses, the updated Specialization teaches foundational AI concepts through an intuitive visual approach, before introducing the code need to implement the algorithms and the underlying math.
Is the Machine Learning Specialization the right program for me?
I’m a complete beginner
- Doesn’t require prior math knowledge or a rigorous coding background
- Takes the core curriculum — vetted by millions of learners over the years — and makes it more approachable
- Each lesson begins with a visual representation of machine learning concepts, followed by the code, followed by optional videos explaining the underlying math
I enrolled in but didn’t complete the original Machine Learning course
- Doesn’t require prior math knowledge or a rigorous coding background
- Balances intuition, code practice, and mathematical theory to create a simple and effective learning experience
- Includes additional ungraded code notebooks with code samples and interactive graphs to help you complete graded assignments
I’ve already completed the original Machine Learning course
- Great way to refresh foundational ML concepts
- Graded assignments and lectures have been rebuilt to teach in Python instead of Octave
- Updates the advice section on practically applying machine learning, based on Andrew Ng's industry and research experiences over the last decade
- Ready to take the next step? Take Deep Learning Specialization!
If you’re looking to build a career in the fast-growing AI industry, this is the perfect way to start