// 37 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.
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
All levels
Introduction to Image Generation
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
All levels
Filtering and Sorting Data in Looker
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to filter and sort data, and create looks with Looker.
All levels
Google Cloud Pub/Sub: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Google Cloud command line. Watch the short video <A HREF="https://youtu.be/oKU2wbTXMTY">Simplify Event Driven Processing with Cloud Pub/Sub</A>.
All levels
Ingesting New Datasets into BigQuery
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.
All levels
Working with Cloud Dataprep on Google Cloud
Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
All levels
GKE Workload Optimization
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.
All levels
Cloud Functions: Qwik Start - Console
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Console. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.
All levels
Building Scalable Java Microservices with Spring Boot and Spring Cloud
"Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud. You'll use Spring Cloud Config to manage your application's configuration. You'll send and receive messages with Pub/Sub and Spring Integration. You'll also use
All levels
Deploy and Monitor in Google Cloud for AWS Professionals
This is the fourth course of a four-course series for cloud architects and engineers with existing AWS knowledge. It compares Google Cloud and AWS solutions and guides professionals on their use. This course focuses on deploying and monitoring applications in Google Cloud. The learners apply the knowledge of monitoring and application deployment processes in AWS to explore the differences with Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
All levels
Hosting a Web App on Google Cloud Using Compute Engine
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll deploy and scale a Web App on Google Compute Engine.
All levels
Designing and Querying Bigtable Schemas
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.
All levels
Use Data Canvas to Visualize and Design Queries
This is a self-paced lab that takes place in the Google Cloud console. In this lab you learn how to use Data Canvas to visualize and design queries.
All levels
Introduction to Controlled Generation with the Gemini API
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the controlled generation capability in the Vertex AI Gemini API.
All levels
Integrate Search in Applications using Vertex AI Agent Builder
This is a self-paced lab that takes place in the Google Cloud console. This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
All levels
Kubernetes Engine: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine.
All levels
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
All levels
Introduction to Vertex AI Embeddings: Text and Multimodal
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore the Vertex AI Embeddings API for both Text and Multimodal (Images and Video) use cases.
All levels
Custom Document Extraction with Document AI Workbench
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create and train a Custom Document Extractor that processes W-2 (US tax form) documents.
All levels
API Design and Fundamentals of Google Cloud's Apigee API Platform
In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API lifecycle, and how the Apigee API platform helps you manage all aspects of the lifecycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lessons, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with the Apig
All levels
Automating the Deployment of Networks with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.
All levels
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.
All levels
GKE Backup and Restore
This is a self-paced lab that takes place in the Google Cloud console. GKE cluster backup and restore
All levels
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
All levels