A specialization is a grouping of 3 courses in a topic. Each course is 1 credit. The graduate certificate in Artificial Intelligence (AI) provides students a strong foundation in key AI topics.

What if I complete the for-credit ML specialization between the old and new versions? Can I still earn the Coursera Completion Certificate? No. Since the old non-credit Machine Learning specialization ...

Certificate programs can lead to high ... course that led to Coursera's creation is a new course called Machine Learning Specialization. The new course – which, like the original course, is ...

The Deep Learning Specialization is a foundational program that will help ... Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models.

The courses in this certificate program cover topics including machine learning, computational creativity, new media, AI ethics, creative team dynamics, self-governance, organizational strategies, and ...

Finally, the minor features three specialization tracks: Machine Learning*, Data Science, or a Hybrid option. Specializations, chosen during the application process, contain four courses relevant to ...

The minor in Machine Learning and Data Science consists of 8 courses: 1 course in Programming Foundations 1 course in Statistics Foundations 4 specialization courses focused in Machine Learning, Data ...

The three-course Practical Data Science Specialization with Amazon SageMaker, AWS’ fully managed machine learning (ML ... and participants earn a certificate when they complete the work.

A data scientist uses mathematics, coding, and industry knowledge to extract insights from complex datasets. They interpret ...