// 61 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
BigQuery: Qwik Start - Console
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to query public tables and load sample data into BigQuery using the Web UI. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.
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GKE Backup and Restore
This is a self-paced lab that takes place in the Google Cloud console. GKE cluster backup and restore
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Learn about VMware Environments on GCP
Learn about VMware Environments on GCP is designed for IT professionals, cloud beginners, and technology enthusiasts eager to understand how VMware workloads can be integrated and managed within Google Cloud. You’ll start by exploring server management challenges and the pivotal role of virtualization in modern IT environments. Through a step-by-step approach, you’ll progress from foundational concepts in cloud computing to a deep dive into the architecture and components of Google Cloud VMware Engine. This course provides a comprehensive overview of Google Cloud VMware Engine’s features, har
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Google Sheets: Getting Started
This is a Google Cloud Self-Paced Lab. Use Google Sheets to create and edit a spreadsheet, then share the spreadsheet for easy collaboration. You can complete this lab in 10-15 minutes or use the extra time to explore Google Sheets features.
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Classify Images of Cats and Dogs using Transfer Learning
This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This lab uses transfer learning to train your machine. In transfer learning, when you build a new model to classify your original dataset, you reuse the feature extraction part and re-train the classification part with your dataset. This method uses l
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Improving Network Performance I
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.
All levels
Gen AI: Unlock Foundational Concepts
Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Getting Started with Terraform for Google Cloud
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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Export Data from Google Earth Engine to BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to export data from Google Earth Engine to BigQuery using the Earth Engine Code Editor.
All levels
Rate Limiting with Cloud Armor
This is a self-paced lab that takes place in the Google Cloud console. Google Cloud HTTP(S) load balancing is implemented at the edge of Google's network in Google's points of presence (POP) around the world. User traffic directed to an HTTP(S) load balancer enters the POP closest to the user and is then load balanced over Google's global network to the closest backend that has sufficient capacity available. Cloud Armor IP allowlist/denylist enable you to restrict or allow access to your HTTP(S) load balancer at the edge of the Google Cloud, as close as possible to the user and to malicious t
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APIs Explorer: Compute Engine
This is a self-paced lab that takes place in the Google Cloud console. Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
All levels
APIs Explorer: App Engine
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.
All levels
Dataplex: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to get started with Dataplex using the command line by walking you through creating a lake, adding a zone, attaching and detaching assets, and deleting zones and lakes.
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Logging and Monitoring in Google Cloud
Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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Deploying Redis Enterprise for GKE and Serverless App on Anthos Bare Metal
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create Compute Engine VMs on Google Cloud with L2 connectivity through the use of vxlan built-in functionality in Linux. You'll be using the Compute Engine VMs to simulate Anthos on Bare Metal (BM) in high-availability mode which requires L2 connectivity. The deployment will consist of 4 VMs to deploy Anthos on BM, 1 x workstation, 1 x control plane nodes and 2 x worker nodes. Then you'll install Anthos Service Mesh and Knative on the BM cluster, followed by deploying Redis Enterprise fo
All levels
Ingesting DICOM Data with the Healthcare API
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.
All levels
Getting Started with Redis and RediSearch
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Redis and RediSearch, an add-on module that enables full-text search and secondary indexing in Redis, to install and run a Redis instance, import example hashes, index them with RediSearch, and query them.
All levels
Google Cloud Spanner: Design, Scale & Operate Databases
Build practical skills to design, scale, and operate globally distributed databases using Google Cloud Spanner. This course introduces Cloud Spanner fundamentals, including its distributed architecture, strong consistency, and ability to support mission-critical applications at global scale. You will learn how to analyze database capacity and usage patterns, design highly available and resilient database architectures, and implement secure connectivity and access management strategies. The course also covers monitoring, troubleshooting, and backup and recovery techniques to ensure operational
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Running a Node.js Container on Google Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.
All levels
Innovating with Google Cloud Artificial Intelligence
Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Troubleshooting Data Models in Looker
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to troubleshoot and diagnose LookML code
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Achieving Excellence in GCP Architecting
Welcome to the Achieving Excellence in GCP Architecting course! This course is designed for IT professionals and developers aiming to master the principles and best practices of architecting solutions on the Google Cloud Platform (GCP). Whether you're new to cloud architecture or seeking to deepen your expertise, this course provides a comprehensive overview and hands-on experience in GCP's architecture. This course requires a basic understanding of cloud computing concepts and familiarity with GCP services such as Compute Engine, Storage, and Networking. By the end of this course, you wil
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