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Learn cloud computing, test your cloud skills, and understand how to approach and solve business problems with real cloud scenarios across Amazon Web Services, Microsoft Azure, Google Cloud, DevOps, and other cloud ecosystem services. New content and updates are added every month.
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- LEARNING PATHDanny Jessee
AWS Solutions Architect – Associate (SAA-C03) Certification Preparation for AWSIntermediateDuration: Up to 72 hours and 23 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Solutions Architect Associate Certification (SAA-C03)!; Duration: Up to 72 hours and 23 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 3 Lab challenges, 1 Resource, 17 Exams, 22 Hands-on labs - LEARNING PATHGuy Hummel
AZ-900 Exam Preparation: Microsoft Azure FundamentalsBeginnerDuration: Up to 10 hours and 54 minutesAuthor: Guy Hummel; Difficulty: Beginner; Description: This Course is designed to help you prepare for the AZ-900 Microsoft Azure Fundamentals exam.; Duration: Up to 10 hours and 54 minutes; Content Topics: Microsoft Azure; This learning path has: 12 Courses, 1 Resource, 6 Exams, 3 Hands-on labs - LEARNING PATHDanny JesseeAWS Developer – Associate (DVA-C02) Certification PreparationIntermediateDuration: Up to 75 hours and 52 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Developer - Associate Certification (DVA-C02) exam, released in February 2023!; Duration: Up to 75 hours and 52 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 3 Lab challenges, 12 Exams, 30 Hands-on labs
New this month in our library
- COURSEDaniel Ives
NEWDesigning Multi-Step AI Workflows in AzureIntermediateDuration: 53 minutesAuthor: Daniel Ives; Type: new course; Difficulty: Intermediate; Duration: 53 minutes; This course has: 10 Units - HANDS-ON LABNEWOPA and REGO scenario challengeIntermediateDuration: Up to 4 hoursType: new hands-on lab; Difficulty: Intermediate; Description: Put policy-as-code into practice in this hands-on Open Policy Agent (OPA) challenge. Delegates are provided with a live environment containing a series of real-world governance, security, and compliance scenarios. Using Visual Studio Code, participants must analyse policy failures, modify Rego rules, and validate their solutions to progressively secure and govern the environment. This lab develops practical skills in authoring, debugging, and testing OPA policies in realistic enterprise contexts.; Duration: Up to 4 hours; This hands-on lab has: 3 Lab steps
- COURSENEWAccess your resources for TAP® Workplace Performance Design | QATAPWPD-BL |BeginnerDuration: 4 minutesType: new course; Difficulty: Beginner; Duration: 4 minutes; This course has: 4 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABAna Rojo Echeburua
Text Analysis and LLMs - Model OptimizationIntermediateDuration: Up to 1 hour and 30 minutesAuthor: 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 - HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Evaluating, Deploying, and Observing ModelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model evaluation, deployment, and observation in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Training and Fine TuningIntermediateDuration: Up to 2 hours and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model training and fine-tuning in this hands-on lab environment.; Duration: Up to 2 hours and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Advanced Text GenerationIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore advanced text generation tools and techniques in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Tokens and EmbeddingsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore tokens and embeddings in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - OverviewIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore an overview of language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaImproving Agentic Systems with RAG & Prompt EngineeringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 7 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
- HANDS-ON LABAndrew Burchill
Deploying Large Language Models Using Ray ServeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the scalable Ray Serve framework to performantly deploy a large language model in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Git ReflogAdvancedDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Advanced; Description: Git reflog can recover lost commits, branches, and changes. Explore the 'git reflog' command with this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps - HANDS-ON LABBen LambertUndoing Changes in Different States of GitIntermediateDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Intermediate; Description: Git includes multiple commands for undoing changes, depending on the situation. This hands-on lab covers the reset and revert commands.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps
- HANDS-ON LABAndrew BurchillAuto scaling and testing an Amazon ECS deploymentBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS CLI to configure auto scaling for an Amazon ECS deployment in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzMonitoring Amazon ECS Resources With Amazon CloudWatchIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to monitor and react to AWS ECS metrics using Amazon CloudWatch container insights in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- HANDS-ON LABJun FritzConfiguring AWS Lambda LayersIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to configure and share AWS Lambda layers in the AWS console and with the AWS SAM CLI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- HANDS-ON LABBen LambertPython: ExceptionsIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps
- HANDS-ON LABBen LambertPython: Lambda FunctionsAdvancedDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Advanced; Description: The Python language syntax includes rules for anonymous functions named: lambda functions. Learn lambda functions through hands-on examples and a chance to practice what you've learned.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzTroubleshooting Terraform EnvironmentsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to troubleshoot, debug, and remediate failed Terraform environments and undesired resource configurations in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment; This hands-on lab has: 4 Lab steps
- HANDS-ON LABStefano Cascavilla
Defining and Working With dbt TestsAdvancedDuration: Up to 1 hour and 15 minutesAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand what are dbt tests. You will then create a custom test, and test your sources and a model both with native dbt tests and with the custom dbt test.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 7 Lab steps - HANDS-ON LABBen LambertPython: Introduction to SQLAlchemyAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
- HANDS-ON LABAdil Islam
Deploying a Webapp to Azure App Service Using Git LocallyBeginnerDuration: Up to 45 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Learn how to deploy a webapp to Azure App service locally using Git in this hands-on lab!; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - HANDS-ON LABStefano CascavillaWorking With Incremental dbt ModelsBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are incremental dbt models, and you will create two models by using the incremental materialization type.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps
- HANDS-ON LABJun FritzImporting AWS CloudFormation Templates into the AWS CDKIntermediateDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to import an existing AWS CloudFormation template into an AWS CDK application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzAllocating Resource Attributes with AWS CDK TokensIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how the AWS CDK allocates and resolves dynamic resource attributes using tokens in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABStefano CascavillaCreate and Execute Your First dbt ModelsBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create your first dbt models. You will create a model starting from the dbt sources, and you will create another one starting from the existing model. You will then execute and materialize them in the PostgreSQL database.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps