Machine Learning Specialization
3 Courses
Introductory
Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig
Stanford Online
Gain the knowledge and skills
for an AI career
Find your learning pathway
Whether you’re a beginner looking to gain foundational knowledge or an experienced practitioner hoping to stay current with advanced skills, our world-class curriculum and unique teaching methodology will guide you through every stage of your AI journey.
Introductory
Introductory programs can be understood by a high school graduate as they require little to no knowledge of AI concepts.
Prerequisites:
Basic math (linear algebra, statistics) Some coding experience (Python, R, or similar)
Intermediate
Intermediate programs build on Introductory ones and provide an additional experience of concepts and tools across the subfields of AI.
Prerequisites:
Basic math (linear algebra, statistics) Some coding experience (Python, R, or similar)
Advanced
Advanced programs are the first stage of career specialization in a particular area of machine learning.
Prerequisites:
Strong familiarity with Introductory and Intermediate program material, especially the Machine Learning and Deep Learning Specializations
Our Courses
Intermediate
Deep Learning Specialization
5 Courses
Intermediate
Andrew Ng, Kian Katanforoosh, Younes Bensouda Mourri
Natural Language Processing Specialization
4 Courses
Intermediate
Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Hugging Face
AI for Medicine Specialization
3 Courses
Intermediate
Pranav Rajpurkar, Amirhossein Kiani, Bora Uyumazturk, Eddy Shyu
TensorFlow: Data and Deployment Specialization
4 Courses
Intermediate
Laurence Moroney
TensorFlow Developer Professional Certificate
4 Courses
Intermediate
Laurence Moroney
Generative Adversarial Networks (GANs) Specialization
3 Courses
Intermediate
Sharon Zhou, Eda Zhou, Eric Zelikman
TensorFlow: Advanced Techniques Specialization
4 Courses
Intermediate
Laurence Moroney, Eddy Shyu
Advanced
Machine Learning Engineering for Production (MLOps) Specialization
4 Courses
Advanced
Andrew Ng, Cristian Bartolomé Arámburu, Robert Crowe, Laurence Moroney
Practical Data Science on the AWS Cloud (PDS) Specialization
3 Courses
Advanced
Antje Barth, Shelbee Eigenbrode, Sireesha Muppala, Chris Fregly
Amazon Web Services (AWS)
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Resources
Learning never ends! Done with our Specializations? Check out these interesting resources beyond our curriculum.
Machine Learning Yearning
by Andrew Ng
This is an introductory book about developing ML algorithms. You will learn to diagnose errors in an ML project, prioritize the most promising directions, work within complex settings like mismatched training/test sets, and know when and how to apply various techniques.
MLOps:
From Model-centric to Data-centric AI by Andrew Ng
In these slides, Andrew Ng shares the skills he sees as fundamental to the next generation of machine learning practitioners.
AI Notes
This is a series of long-form tutorials that supplement what you learned in the Deep Learning Specialization. With interactive visualizations, these tutorials will help you build intuition about foundational deep learning concepts like initializing neural networks and parameter optimization.