Training Library

Author: Stefano Cascavilla; Difficulty: Advanced; Description: Demonstrate your dbt skills by performing tasks required to create and work with a dbt project.; Duration: Up to 2 hours; Content Topics: Data build tool (dbt); This lab challenge has: 4 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: Amazon EKS - Install the AWS Load Balancer Controller and Create an Ingress Resource (ALB); Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: The goal of this challenge is to complete the classic exercise of writing "Hello, World!" using Bash.; Duration: Up to 15 minutes; Content Topics: Operating System; This lab challenge has: 2 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: Jun Fritz; Difficulty: Beginner; Description: Learn how to create a NoSQL document database with Google Firestore in Native mode in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Databases; This hands-on lab has: 5 Lab steps

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 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

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 41 minutes; Content Topics: Amazon Web Services; This learning path has: 12 Courses, 1 Resource, 3 Hands-on labs

Author: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

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: Jun Fritz; Difficulty: Beginner; Description: Put your knowledge of AWS Glue to the test by configuring a data integration solution in this hands-on lab challenge.; Duration: Up to 45 minutes; Content Topics: Analytics; This lab challenge has: 1 Lab step

Author: Jeremy Cook; Difficulty: Advanced; Description: This lab is designed to expand your knowledge involving Java technologies like Annotations, CDI, JDBC, and JPA, which can be used to help you access and consume external resources.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Apply your IAM knowledge to bring a hobbling application on Amazon ECS on AWS Fargate to fully operational status in this lab challenge.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step

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 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: 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 31 hours and 41 minutes; Content Topics: Google Cloud Platform; This learning path has: 27 Courses, 2 Resources, 5 Exams, 11 Hands-on labs

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

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to optimise AWS compute and autoscaling for cost efficiency in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to deploy AWS Lambda functions with Docker container images in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to create a point-to-point integration using Amazon EventBridge Pipes in this hands-on lab.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to replace an NGINX server with an Application Load Balancer in this hands-on laboratory.; Duration: Up to 1 hour; Content Topics: Networking, Compute; This hands-on lab has: 5 Lab steps