The Digital Transformation: Fundamental Intelligent Automation course is comprised of two modules that provide fundamental coverage of Artificial Intelligence (AI) and Robotic Process Automation (RPA) concepts, technologies and practices associated with Intelligent Automation (IA). This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

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

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 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.