// 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.
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
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.
All levels
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.
All levels
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
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.
All levels
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.
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
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.
All levels