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This two-day course is authorized by Google, and teaches you all you need to know when it comes to configuring, deploying, operating and managing Microsoft Windows® workloads on Google Cloud.

This course will help you familiarize yourself with Apigee hybrid architecture, and teach you how to install, monitor and manage the software components that make up the hybrid cloud environment.

Learn everything you need to know about deploying essential solutions and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud.

Interested in learning about Google Compute Engine and how it can be used to deploy practical solutions? This three-day course covers everything you need to know about Google Cloud’s Infrastructure as a Service (IaaS) component.

Are you looking to learn the fundamental concepts for working with Google Cloud? Learn about the platform’s essential computing, storage, resource and policy management tools on this one-day course.

This two-day course has been designed to show you how to use proven design patterns to build highly reliable and efficient solutions - and deploy in the most cost-effective way possible - on Google Cloud.

This course will prepare you for the Google Cloud-certified Professional Cloud Architect exam by helping you identify your skill gaps, providing multiple case studies, and giving you valuable tips and advice.

Worried about the difficulties of keeping cloud costs under control, or even keeping track of them? Learn how to use FinOps (Financial DevOps) to take control of - and optimize, your organization’s cloud usage and spend.

Familiarize yourself with container basics and learn everything you need to know about deploying, managing, and scaling containerized applications on Kubernetes, powered by Google Cloud.

Gain valuable information, tips, and advice to help you prepare for the Associate Cloud Engineer exam.

Master the art of cloud-native application development using Google Cloud Run on this three-day course, which teaches you about the tools and capabilities you’ll need to navigate the platform.

Looking to master Google Cloud’s big data and machine learning capabilities? Delve into the process, challenges and benefits of building big data pipelines and ML models with Vertex AI on this one-day course.

Looking to gain hands-on experience implementing key machine learning processes on Google Cloud? This four-day course will teach you everything you need to know about designing and building data processing systems.

Looking to learn everything you need to know about the internal workings of BigQuery? This course covers best practices for designing, optimizing, and administering your data warehouse.

Master the skills required to help enterprise customers evaluate and manage existing database architectures, as well as design, plan, execute and test database migrations to Google Cloud.

Learn how to navigate both Teradata and BigQuery architectures, so that you can configure your datasets, optimize your schemas, and successfully map all of your users to BigQuery.

Want to familiarize yourself with the fundamental aspects of BigQuery? Learn how derive detailed insights through data analysis and visualization using Google Cloud on this advanced data insights course.

This two-day course will help you master fundamental techniques - modelled on site reliability engineering principles - for monitoring, troubleshooting and improving infrastructure and application performance on Google Cloud.

Explore the foundations, best practices, and techniques for security in Google Cloud, and learn about the different solutions the platform provides for monitoring, logging, auditing and scanning.

Learn everything you need to know about building an efficient, sustainable and scalable Cloud infrastructure, and discover how to configure each of the different networking options available to you on Google Cloud.

Are you looking to learn everything you need to know about implementing an infrastructure as a code solution? This course will teach you how to apply Terraform's key features and functionalities on Google Cloud.

Master the art of translating real-life business problems into machine learning use cases, vetting them for feasibility and impact before conveying the requirements to other teams on this two-day course.

Discover the key to making your data more accessible to business users by learning how to build, curate and manage your Looker Modelling Language (LookML) models on this one-day course.

Learn everything there is to know about Cloud Data Fusion - including its key components as well as how it effectively tracks, processes and integrates data from a variety of sources and formats.

Learn how to leverage the use of text generation models, master prompt creation and fine-tuning, and incorporate them into your own applications using Gen AI Studio on Vertex AI.

Learn how to use interactive multi-turn chat models using Gen AI Studio on Vertex AI, and discover how to incorporate those models into your application with fairness, interpretability, privacy and safety in mind.

Learn how to leverage Vertex AI Model Garden, a game-changing machine learning platform, so that you can use enterprise-ready foundation models, task-specific models, and APIs.

So you want to harness the power of AI - but do you know how to do so responsibly? Explore Google's recommended best practices for responsible AI usage across different areas of focus.

What is machine learning, and what problems can it solve? Learn the ins and outs of how it is implemented and the role that tools such as Vertex AI, BQML, and Dataflow play on this five-day course.

Gain in-depth insights into Google’s approach to digital transformation and discover the tools and techniques that will empower you to start transforming your business on this two-day course.

Wondering what cloud technology and data science are, how they can help you succeed in your role, and what they can do for your team or business? Find out everything you need to know on this one-day course.