Training Library

Difficulty: Beginner; Description: An overview of the D2C eCommerce landscape and why its rapid growth presents both significant opportunities and challenges for brands.; Duration: Up to 48 minutes; This learning path has: 5 Courses, 2 Exams

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

Difficulty: Beginner; Description: This course explores the pivotal role a customer centric approach plays in enhancing customer experience and gaining a competitive business advantage.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores how businesses can develop, execute and measure the results of a successful net revenue management strategy.; Duration: Up to 45 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 15 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: 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: Ben Lambert; Difficulty: Intermediate; Description: Git stash is a useful feature for temporarily saving changes that are not ready to be committed. Explore the git stash command with this hands-on lab.; Duration: Up to 1 hour; 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

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

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

Difficulty: Intermediate; Description: An exploration of the essential data types and methodologies required for creating and refining effective loyalty programs.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Author: Stuart Scott; Difficulty: Intermediate; Description: Understand the different AWS services that are available when performing data migration and transfer operations for your workloads; Duration: Up to 5 hours and 58 minutes; Content Topics: Networking, Migration, Storage, Databases, Content Delivery Networking; This learning path has: 6 Courses, 1 Lab challenge, 2 Hands-on labs

Difficulty: Intermediate; Description: A strategic look at how to apply journey mapping methodologies in ways that support better business outcomes. Covering customer segmentation and attribution mod; Duration: Up to 53 minutes; This learning path has: 5 Courses, 2 Exams

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will start using the pattern matching in Scala, to avoid complex checking on types and structures.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand the principles of the for-expressions in Scala, and you will understand how to implement map and filter with them.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand and start using higher-order functions and anonymous functions.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will leverage the Yahoo Finance API using the yfinance Python library, and you will visualize the market data using the plotly Python library.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps