This six-course accelerated Professional Certificate is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Learners carried out serverless data analysis and productized machine learning models. Learners integrated prior technical skills into practical skills for the job role of a Data Engineer.

In this five-course accelerated Professional Certificate, learners explored techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud guided by principles of Site Reliability Engineering. Learners integrated prior technical skills into practical skills to prepare for the Google Cloud Professional DevOps Engineer certification.

This six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help them advance their careers. The hands-on curriculum is designed to teach learners how to write code in Python, with a special focus on how this applies to automating tasks in the world of IT support and systems administration. Those who received this certificate passed all graded assessments with a score of 80% or above. They should have a strong foundation in how to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud to prepare them for more advanced IT Support Specialist or Junior Systems Administrator positions.