Training Library

Author: Parveen Singh; Difficulty: Intermediate; Description: Understand the basics of Durable Function in the Azure Function catalog and create the durable functions using Core Tools in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock.patch callable through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 11 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to set up an Apigee organization, API proxies, authentication policies, and more in this hands-on lab.; Duration: Up to 2 hours and 30 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 8 Lab steps

Author: QA; Difficulty: Intermediate; Description: Learn how to deploy highly available Azure VMs into an availability set behind a Basic Azure Load Balancer by using Azure Resource Manager templates and analyze highly available Azure VMs deployed into an availability set behind a Basic Azure Load Balancer.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Jeremy Cook; Difficulty: Beginner; Description: The content in this course will teach you about the topic of Managing and Maintaining Networks for Operations to a Level 1.; Duration: Up to 8 hours and 15 minutes; Content Topics: Networking, Security; This learning path has: 6 Courses, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 4 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 4 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 14 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 2 Lab challenges, 7 Hands-on labs

Author: Alana Layton; Difficulty: Beginner; Description: Learn how to use AWS CloudFormation, an infrastructure as code (IaC) service, to provision and manage AWS resources.; Duration: Up to 14 hours and 38 minutes; Content Topics: Amazon Web Services; This learning path has: 5 Courses, 1 Lab challenge, 7 Hands-on labs

Author: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 1 hour and 48 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 1 Hands-on lab

Difficulty: Beginner; Description: An overview of the eCommerce landscape in China, from key trends and players, to the steps you should take to make the most of available opportunities.; Duration: Up to 50 minutes; This learning path has: 5 Courses, 2 Exams

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 1 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 7 hours and 24 minutes; Content Topics: Amazon Web Services; This learning path has: 12 Courses, 1 Resource, 3 Hands-on labs

Author: Alana Layton; Difficulty: Beginner; Description: This course will walk you through the basics of Amazon DynamoDB, including how to create tables and indices, how to read and write data to DynamoDB, how; Duration: Up to 4 hours and 7 minutes; Content Topics: Amazon Web Services; This learning path has: 7 Courses, 2 Hands-on labs

Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 6 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step

Author: Ben Lambert; Difficulty: Advanced; Description: Cherry-picking is useful for applying bug fixes, feature enhancements, or specific changes from one branch to another without merging the entire branch. Learn to use git cherry-pick in this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: Prepare for the Cluster Architecture, Installation & Configuration domain of the Certified Kubernetes Administrator (CKA) exam in this lab with exam-like tasks and a solution guide.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will define some dbt models and you will organize them following best practices in order to keep and maintain a clear dbt project.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what dbt seeds are, you will create and use them, and will build a model based on a seed.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: In this lab, you will be working with the JavaScript Spread Operator. The spread operator is a syntax with the purpose of unpacking values from an iterable data collection into individual elements.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: In this lab, you will be working with JavaScript Destructuring. Destructuring is a way to unpack data from collections such as arrays and objects and bind that data to variables.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 5 Lab steps

Difficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam

Difficulty: Beginner; Description: Build your strategic thinking skills to plan ahead, spot risks and opportunities, and make smarter decisions that align your team’s work with the bigger picture; Duration: Up to 55 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: This course provides guidance on creating new customer facing admin training videos.; Duration: Up to 1 hour and 11 minutes; This learning path has: 5 Courses, 1 Exam

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Cloud Certified Associate Data Practitioner Exam.; Duration: Up to 29 hours and 57 minutes; Content Topics: Google Cloud Platform; This learning path has: 27 Courses, 2 Resources, 5 Exams, 11 Hands-on labs