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This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine.

In this course you will learn how to translate various concepts in Teradata to the analogous concepts in BigQuery. You will learn how the high-level architectures of Teradata and BigQuery compare, understand di erences in how to con gure datasets and tables, map data...

Ready to become a Google Data Engineer? This Certification Prep Guide provides everything you need to know about the current Google Certified Professional Data Engineer certification and offers helpful tips that IT professionals can use when preparing for the Google Data Engineer exam. Start here!

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to...

This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.

Cloud Monitoring and Cloud Logging data lets you to integrate the data into your existing reliability, alerting, and incident management processes.

Learn to design GCP deployments.

Learn to containerize workloads and deploy to clusters.

This course gives participants a broad study of networking options on Google Cloud Platform. You will explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls, interconnection among networks, load balancing, Cloud DNS, and Cloud CDN.

This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You'll gain a comprehensive understanding of this technology, learn how it ca...