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Training Library
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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Discover curated Learning paths that lead you through a structured educational journey. Build expertise step by step, ensuring a comprehensive understanding of your chosen subject. Reach your learning goals efficiently with clear knowledge guidance on your path.
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Search results 1057 - 1080 of 5048Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- 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 BurchillEnhancing 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 - HANDS-ON LABAna Rojo Echeburua
A Practical Introduction to Language ModelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 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 BurchillMonitoring Data Quality Issues with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- HANDS-ON LABAndrew BurchillIntegrating with an Amazon S3 File GatewayBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to set up and configure an Amazon S3 File Gateway in this hands-on lab experience.; Duration: Up to 1 hour; Content Topics: Storage, Compute; This hands-on lab has: 5 Lab steps
- HANDS-ON LABJun Fritz
Accelerating Deployments with AWS CDK Hotswap and WatchIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to monitor resources, detect changes, and perform automatic deployments using AWS CDK Hotswap and Watch 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 LABQA
Equipping Agents with ToolsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: QA; Difficulty: Intermediate; Description: In this lab, you will learn how to build a minimal LangGraph swarm system with agents equipped with tools using LangGraph and OpenAI's GPT-4o-mini model.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABQAAI Engineer L6 M1 Workshop Day 1 LabIntermediateDuration: Up to 7 hoursAuthor: QA; Difficulty: Intermediate; Description: AI Engineer L6 M1 Workshop Day 1 Lab; Duration: Up to 7 hours; Content Topics: Machine Learning; This hands-on lab has: 3 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 LABJun FritzAutomating Translations With Amazon Translate and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to use Amazon Translate and AWS Lambda to translate text and documents in real-time in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- LEARNING PATHNEWAI in Software EngineeringIntermediateDuration: Up to 9 hours and 59 minutesType: new learning path; Difficulty: Intermediate; Description: This course is designed for those new to AI tooling, as well as anyone looking to deepen their understanding of how AI fits into modern software architecture.; Duration: Up to 9 hours and 59 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 6 Exams, 6 Hands-on labs
- HANDS-ON LABQAImproving Agentic Systems with RAG & Prompt EngineeringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: QA; Difficulty: Intermediate; Description: In this lab you'll explore how to use prompt engineering and RAG (Retrieval-Augmented Generation) to improve agentic system performance.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step