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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 JesseeAWS Solutions Architect – Associate (SAA-C03) Certification Preparation for AWSIntermediateDuration: Up to 73 hours and 6 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Solutions Architect Associate Certification (SAA-C03) released by AWS on August 30th, 2022!; Duration: Up to 73 hours and 6 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 HummelAZ-900 Exam Preparation: Microsoft Azure FundamentalsBeginnerDuration: Up to 10 hours and 52 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 52 minutes; Content Topics: Virtualization; This learning path has: 12 Courses, 1 Resource, 6 Exams, 3 Hands-on labs
- LEARNING PATHDanny JesseeAWS Cloud Practitioner (CLF-C02) Certification PreparationBeginnerDuration: Up to 35 hours and 23 minutesAuthor: Danny Jessee; Difficulty: Beginner; Description: Train to prepare for the AWS Certified Cloud Practitioner (CLF-C02) exam; Duration: Up to 35 hours and 23 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 3 Resources, 11 Exams, 9 Hands-on labs
New this month in our library
- HANDS-ON LABMark SecristNEWBuilding a Python Client for Amazon DynamoDBIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Mark Secrist; Type: new hands-on lab; Difficulty: Intermediate; Description: Creating a Python client for Amazon DynamoDB; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- COURSEDaniel MeaseNEWIntroduction to Google Cloud DeployBeginnerAuthor: Daniel Mease; Type: new course; Difficulty: Beginner; Content Topics: Continuous Deployment; This course has: 7 Lectures
- COURSEAlana LaytonNEWGuidelines for Responsible AIBeginnerDuration: 12 minutes and 46 secondsAuthor: Alana Layton; Type: new course; Difficulty: Beginner; Duration: 12 minutes and 46 seconds; Content Topics: Artificial Intelligence; This course has: 3 Lectures
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABJun FritzFormatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABParveen SinghDeploying a Containerized Text Analytics Solution with Azure AIBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps
- HANDS-ON LABJun FritzEnhancing Generative AI Models With Retrieval-Augmented Generation (RAG)BeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillEmploying Generative AI for Development With Amazon BedrockBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrew BurchillAutomating Code Reviews Using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps
- HANDS-ON LABParveen SinghAnalyzing 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 LABLuke OrellanaGetting Started with Azure SQL DatabaseBeginnerDuration: Up to 45 minutesAuthor: Luke Orellana; Difficulty: Beginner; Description: Explore the main features of Azure SQL and learn how to deploy and manage the service by connecting to the database and assigning user access in this lab.; Duration: Up to 45 minutes; Content Topics: SQL; This hands-on lab has: 5 Lab steps
- HANDS-ON LABJun FritzInvoking 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: Serverless; This hands-on lab has: 3 Lab steps
- HANDS-ON LABLogan RakaiApplied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step
- HANDS-ON LABLogan RakaiIntroduction 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; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step
- HANDS-ON LABAndrea GiussaniMachine Learning with scikit-learnBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzEmbedding 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: Serverless; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrea GiussaniPySpark - How to build a Machine Learning PipelineBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillDeploying 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 FritzGenerating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps
- HANDS-ON LABAndrew BurchillPlanning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzWorking With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDeveloping Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzImplementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: 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
- HANDS-ON LABLogan RakaiCKAD Practice Exam: ObservabilityIntermediateDuration: Up to 50 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Prepare for the Observability domain of the Certified Kubernetes Application Developer (CKAD) exam in this lab with exam-like tasks and solution guide.; Duration: Up to 50 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJeremy CookCKAD Practice Exam: Pod DesignIntermediateDuration: Up to 1 hour and 20 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Prepare for the Pod Design domain of the Certified Kubernetes Application Developer (CKAD) exam in this lab with exam-like tasks and solution guide.; Duration: Up to 1 hour and 20 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps
- HANDS-ON LABLogan RakaiCKAD Practice Exam: State PersistenceIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Prepare for the State Persistence domain of the Certified Kubernetes Application Developer (CKAD) exam in this lab with exam-like tasks and solution guide.; Duration: Up to 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJeremy CookCKAD Practice Exam: Services & NetworkingIntermediateDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Prepare for the Services & Networking domain of the Certified Kubernetes Application Developer (CKAD) exam in this lab with exam-like tasks and solution guide.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps
- HANDS-ON LABLogan RakaiCKAD Practice Exam: ConfigurationIntermediateDuration: Up to 50 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Prepare for the Configuration domain of the Certified Kubernetes Application Developer (CKAD) exam in this lab with exam-like tasks and solution guide.; Duration: Up to 50 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps