Training Library

Author: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 13 hours and 50 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 7 Hands-on labs

Difficulty: Beginner; Description: An introduction to sales automation and the ways it is being used to improve efficiency and effectiveness within the sales function.; Duration: Up to 14 minutes; This learning path has: 1 Course

Difficulty: Beginner; Description: An introduction to the fundamentals of customer and patient journey mapping for marketing teams, covering what they are and why they work.; Duration: Up to 47 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we examine effective strategies for navigating the complexities of the digital marketplace and fostering sustainable growth.; Duration: Up to 57 minutes; This learning path has: 5 Courses, 2 Exams

Author: Ben Lambert; Difficulty: Intermediate; Description: This course provides hands-on experience working with Docker and Compose. Learn to build container based applications with and without Compose.; Duration: Up to 7 hours; Content Topics: Containers; This learning path has: 3 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will work with classes, traits, and hierarchies in Scala.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore prompt engineering in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step

Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore the use of pre-trained language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step

Author: Ben Lambert; Difficulty: Intermediate; Description: Git hooks can be used to automate tasks such as running tests, linting code, and checking for code formatting issues. Learn to create Git hooks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps

Author: Daniel Wood; Difficulty: Intermediate; Description: Prepare for the Certified Kubernetes Administrator (CKA) exam by solving practice problems and reviewing their solutions in this lab on workloads and scheduling.; Duration: Up to 50 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Object oriented programming consists of bundling data and code together into a single entity referred to as **objects**. Object inheritance is an important aspect of object-oriented programming. Learn how to create object hierarchies in this hands-on lab.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Learn how to use magic methods to control the way that objects interact with the Python language syntax and built-in functions. This lab covers commonly used magic methods through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 4 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 module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Python's built-in unittest module is a testing framework for creating unit and integration tests. This lab introduces the unittest module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Farish Kashefinejad; Difficulty: Advanced; Description: In this lab, you will be working with JavaScript Classes.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 11 Lab steps

Difficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs

Author: Ben Lambert; Difficulty: Beginner; Description: Git has become the distributed database that facilitates DevOps. Learn to use the world's most popular version control system through hands-on labs.; Duration: Up to 7 hours and 30 minutes; Content Topics: Development, DevOps; This learning path has: 6 Hands-on labs

Author: Luke Orellana; Difficulty: Beginner; Description: Learn the benefits of using Redis cache and how to connect to a web application.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to install Docker Enterprise Universal Control Plane (UCP) and how to deploy applications onto the UCP cluster you create using the web interface.; Duration: Up to 1 hour; Content Topics: Development, DevOps; This hands-on lab has: 6 Lab steps

Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 5 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: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 4 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: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 3 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: 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: Logan Rakai; Difficulty: Intermediate; Description: Learn the fundamental concepts of IAM in the context of Amazon ECS on AWS Fargate and learn how to diagnose and troubleshoot related issues in this lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps