This class is intended for the following participants: - Cloud architects -Administrators -SysOps personnel Cloud developers -DevOps personnel

This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.

This course is intended for the following participants: 1.Cloud professionals interested in taking the Data Engineer certification exam. 2.Data engineering professionals interested in taking the Data Engineer certification exam.

Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.

This course provides you with the skills needed to implement Group Policy within your Windows environment. You will see the key techniques required to successfully deploy GP and learn from my 20 years of experience and tips for Group Policy success.

In this talk, Mya Pitzeruse provides the context you need to get started using gRPC on Kubernetes.

In this course, you are going to learn how to utilize today's most popular big data tools and ML frameworks to process and analyze data within AWS pipelines.

Gain practical experience with Red Hat OpenShift. Learn how to deploy, scale, and manage applications on OpenShift, leveraging its capabilities for high availability, scalability, and continuous delivery in cloud environments.

This is CS50’s introduction to computer science for business professionals.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.