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Master the future of technology with our AI and machine learning courses. Build neural networks, deploy models, and develop in-demand skills for AI Engineer and ML Engineer roles.
Explore All CoursesRanked highest among 100+ programs based on learner ratings
The core capabilities you'll practice across AI & Machine Learning programs
BestsellerBestseller$4,999
$3,499
Who can enroll in AI & ML programs varies based on the following:
Connect with our learning consultant to get all your questions answered about programs, faculty, and more
Read what AI & Machine Learning learners say about their experience
David Park
Machine Learning Engineer
Meta
“The deep learning labs were the closest thing to my day job—training loops, debugging GPU jobs, and shipping a model behind an internal API. I moved from analytics into ML engineering within a year.”
Jessica Walsh
AI Engineer
“I needed stronger fundamentals on transformers and evaluation metrics. The projects were graded with real feedback, and I still reference the deployment checklist when we push models to production.”
Daniel Reeves
Former ML Engineer, Meta
Shipped ranking models at scale; teaches evaluation, pipelines, and responsible GenAI deployment.
Priya Shah
Senior ML Engineer, Google (alumni)
TensorFlow and NLP tooling; labs on reproducible experiments and feature stores.
No—tracks begin with Python and math refreshers for motivated learners.
Industry-standard tools for training and deployment.
Practical prompting, retrieval, evaluation, and safety—not only demos.
Many tracks include packaging and endpoint labs.
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*All salary figures referenced are based on data reported by employees on Glassdoor. These figures are estimates and may vary depending on location, experience level, company policies, and market conditions. Actual compensation may differ.
