The Big Data Analytics and Fundamental Data Science course is comprised of three modules that introduce data science basics and provide coverage of essential Big Data concepts and solutions and lifecycle stages, as well as introductory coverage of Big Data analytics and analysis. This course encompasses fundamental and advanced topics and has no prerequisites.

The Big Data Analysis and Advanced Data Science course is comprised of three modules that develop skills in contemporary Big Data analysis and analytics practices and advanced data science techniques and processes. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

The Data Science Professional Consulting course is comprised of two modules that provide introductory coverage of and develop essential knowledge in Machine Learning and Artificial Intelligence (AI).

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 Artificial Intelligence course is comprised of three modules that introduce AI concepts and common applications, and then provide essential coverage of AI practices, models and systems, as well as coverage of neural networks. This course encompasses fundamental and advanced topics and has no prerequisites.

The Big Data Engineering course is comprised of three modules that cover models and practices for designing, configuring and utilizing Big Data solutions, including Big Data storage environments, pipelines and data processing. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

The Big Data Architecture course is comprised of three modules that delve into design techniques, technology architecture models and patterns associated with building and integrating Big Data solutions within enterprise and cloud environments. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

The Data Science Governance course is comprised of three modules that define and explore the utilization of the precepts, processes and roles for establishing and maintaining a governance framework that can encompass machine learning, artificial intelligence (AI) and big data solutions and processing environments. This course covers fundamental and advanced topics and has no prerequisites.

The Big Data Science Professional Certification is a professional accreditation that can be attained by completing the Big Data Science Professional Certification exam with a passing grade. This exam encompasses topics covered in the Big Data Analytics and Fundamental Data Science course and has no prerequisites.

The Big Data Scientist Certification is a professional accreditation that can be attained by achieving the Big Data Science Professional Certification and completing the Big Data Scientist Certification exam with a passing grade. This exam encompasses topics covered in the Big Data Analysis and Advanced Data Science course.

The Data Science Consultant Certification is a professional accreditation that can be attained by achieving the Big Data Science Professional Certification and completing the Data Science Consultant Certification exam with a passing grade. This exam encompasses topics covered in the Data Science Professional Consulting course.

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.

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

The Big Data Engineer Certification is a professional accreditation that can be attained by achieving the Big Data Science Professional Certification and completing the Big Data Engineer Certification exam with a passing grade. This exam encompasses topics covered in the Big Data Engineering course.

The Big Data Architect Certification is a professional accreditation that can be attained by achieving the Big Data Science Professional Certification and completing the Big Data Architect Certification exam with a passing grade. This exam encompasses topics covered in the Big Data Architecture course.

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

The AI Decisioning course is comprised of three modules that provide coverage of essential Artificial Intelligence topics and explore the technologies, techniques and data processing models distinct to enabling autonomous decision-making within AI systems.

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