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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...

Discuss the available infrastructure components of Google Cloud Platform and how they provide a powerful and flexible foundation on which to build your applications.

This is a course for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. In this course, you’ll apply the concepts and technologies knowledge in AWS to explore the similaritie...

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...

Tailored for AI practitioners and security engineers, it provides targeted knowledge and hands-on skills to navigate and adopt AI safely and effectively. Participants will gain practical insights and develop a security-conscious approach, ensuring a secure and respon...

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.

Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem.

Gain the core cloud skills to build and manage Google Cloud Infrastructure Networking.

This Developing Data Models with LookML course is an intermediate-level training that introduces the fundamentals of LookML for Looker developers.

Examine the evolution from physical servers to VMs to containers and the driving factors of this change. Review the container management solutions on AWS.