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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.
New this month in our library
- COURSENEWApp Creation DemonstrationIntermediateDuration: 31 minutes and 41 secondsType: new course; Difficulty: Intermediate; Duration: 31 minutes and 41 seconds; This course has: 9 Units
- COURSEThomas Mitchell
NEWFinOps Framework for MulticloudBeginnerDuration: 12 minutes and 13 secondsAuthor: Thomas Mitchell; Type: new course; Difficulty: Beginner; Duration: 12 minutes and 13 seconds; Content Topics: Management; This course has: 4 Units - COURSENEWMulticloud Metrics, Tracing, and Log AggregationBeginnerDuration: 31 minutes and 57 secondsType: new course; Difficulty: Beginner; Duration: 31 minutes and 57 seconds; This course has: 8 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABJun Fritz
Getting Started With Amazon Q Developer and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABJun Fritz
Troubleshooting 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 LABStefano Cascavilla
Working 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 Fritz
Allocating 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 Cascavilla
Understand and Use dbt Jinja MacrosIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what Jinja macros are and why they are helpful. You will then leverage the most important native macros source and ref, and you will create a custom macro.; Duration: Up to 1 hour; This hands-on lab has: 6 Lab steps - HANDS-ON LABJun Fritz
Incorporating L2 CDK Constructs in an ApplicationIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to incorporate higher-level AWS resource definitions into your CDK applications with L2 constructs 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 LABJeremy Cook
Git Based Terraform Template ManagementBeginnerDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Beginner; Description: Terraform is a popular IaC (Infrastructure as Code) tool for building, changing, and versioning infrastructure safely and efficiently. When working with Terraform, your resources are codified within Terraform templates, which should be version controlled within a source control system such as Git. In this Lab scenario, you'll learn how to use both Terraform and Git to manage and maintain resources launched within AWS.; Duration: Up to 1 hour; Content Topics: Deployment, DevOps; This hands-on lab has: 6 Lab steps - HANDS-ON LABJun Fritz
Embedding Documents With LangChain and Amazon BedrockIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABCalculated Systems
Performing K-Means Clustering With PythonIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Streamlining Amazon SageMaker Governance With Model CardsBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models 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 LABJun Fritz
Building a PDF RAG Chatbot Powered by LangChain and Amazon BedrockIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABParveen Singh
Analyzing and Moderating Text With Azure AI Content Safety Service Using Python SDKAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to analyze and moderate text with the Azure AI Content Safety service using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Simplifying Permission Management with IAM Access AnalyzerBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to streamline permission management using IAM Access Analyzer in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABStefano Cascavilla
Working With Ephemeral dbt ModelsIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what are ephemeral dbt models, and you will create an ephemeral dbt model that will be then leveraged by a full-refresh model. You will then review what dbt has materialized and what has not.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps - HANDS-ON LABLogan Rakai
Exploiting Remote Procedure Call (RPC) ServicesIntermediateDuration: Up to 40 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Duration: Up to 40 minutes; Content Topics: Security; This hands-on lab has: 2 Lab steps - HANDS-ON LABParveen Singh
Manage, Monitor, and Secure Azure AI ServicesIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn to manage, monitor, and secure Azure AI services using best practices and Azure tools.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Leveraging Artificial Intelligence to Analyze Amazon CloudWatch LogsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Git HooksIntermediateDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABDave BedfordLoad Balancing (Global Load Balancer)BeginnerDuration: Up to 1 hour and 30 minutesAuthor: Dave Bedford; Difficulty: Beginner; Description: Learn how to create load balancer rules, test the load balancer connectivity, implement a global load balancer, and test the failover from one region to another.; Duration: Up to 1 hour and 30 minutes; Content Topics: Networking; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrew Burchill
Developing An Application on AWS using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS 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 - HANDS-ON LABAndrew Burchill
Enhancing Productivity With Amazon Q BusinessBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABStefano Cascavilla
Understand and Work With dbt SeedsIntermediateDuration: Up to 1 hourAuthor: 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