In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security! In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure. The first module, Distributed Denial of Service (DDoS) Protection, covers how...

This Agility Methodology course provides a comprehensive overview of the semi-Agile approach employed by BlueVectorAI for Google Cloud implementation projects. Participants will learn the core principles and practices that drive efficient and effective project delivery within BlueVectorAI's unique context. The course will cover key aspects such as iterative development, collaborative teamwork, flexible planning, and continuous improvement, all tailored to the specific requirements and challenges of Google Cloud implementations. Students will gain practical insights into how BlueVectorAI leverages this methodology to optimize project outcomes, manage risks, and ensure client satisfaction.

This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager,...

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache...

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution...

This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps...

Earn a skill badge by completing the Develop and Secure APIs with Apigee X quest, where you learn how to modernize your APIs, use service accounts and Google Authentication to securely access backend services from Apigee API proxies, productize APIs...

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI...

Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions. A skill badge is an exclusive digital badge issued by...