The Digital Transformation: Fundamental Data Science course is comprised of three modules that provide comprehensive coverage of contemporary data science and analysis practices and technology essential to Digital Transformation, including Artificial Intelligence (AI), Machine Learning and Big Data Analytics. This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

The Digital Transformation Data Science Professional Certification is a professional accreditation that can be attained by achieving the Digital Transformation Specialist Certification and completing the Digital Transformation Data Science Professional Certification exam with a passing grade. This exam encompasses topics covered in the Digital Transformation: Fundamental Data Science course.

The Cloud Governance Specialist Certification is a professional accreditation that can be attained by completing the complete Cloud Governance Specialist Certification exam with a passing grade. This exam encompasses topics covered in the Cloud Computing and Cloud Governance courses.

The Machine Learning course is comprised of three modules that introduce Machine Learning concepts and applications and then cover common Machine Learning analysis and analytics techniques, models and algorithms, as well as Machine Learning processing environments. This course covers fundamental and advanced topics and has no prerequisites.

The Machine Learning Specialist Certification is a professional accreditation that can be attained by completing the Machine Learning Specialist Certification Exam with a passing grade. This exam encompasses topics covered in the Machine Learning course and has no prerequisites.