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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
- HANDS-ON LABJun Fritz
NEWFrom Code to Intent: Build Your First Kiro WorkflowBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Type: new hands-on lab; Difficulty: Beginner; Description: Learn how to use AWS Kiro's spec-driven workflow to build and deploy a serverless application on AWS, transforming plain language intent into production-ready code in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - COURSENEWGrounding, accuracy, and strategic integrationAdvancedDuration: 13 minutes and 51 secondsType: new course; Difficulty: Advanced; Duration: 13 minutes and 51 seconds; This course has: 7 Units
- COURSENEWPersonal AI assistants and advanced prompting patternsAdvancedDuration: 10 minutes and 19 secondsType: new course; Difficulty: Advanced; Duration: 10 minutes and 19 seconds; This course has: 6 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 1249 - 1272 of 3375Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABParveen Singh
Building a Real-Time Event Management System with Azure Event HubsAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to build a real-time event management system with Azure Event Hubs and Stream Analytics in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABQA
AWS Reliability Architecture LabAdvancedDuration: Up to 5 hours and 33 minutesAuthor: QA; Difficulty: Advanced; Description: AWS Reliability Architecture Lab; Duration: Up to 5 hours and 33 minutes; This hands-on lab has: 3 Lab steps - COURSEDeniz Yilmaz
Extending Agents with AWS Lambda and Step FunctionsIntermediateDuration: 36 minutes and 35 secondsAuthor: Deniz Yilmaz; Difficulty: Intermediate; Duration: 36 minutes and 35 seconds; Content Topics: Amazon Web Services; This course has: 7 Units - COURSEUPDATEDMeasuring impact and sustaining valueIntermediateDuration: 13 minutes and 20 secondsType: updated course; Difficulty: Intermediate; Duration: 13 minutes and 20 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units
- COURSEEvaluating AI model providers with confidenceIntermediateDuration: 15 minutes and 37 secondsDifficulty: Intermediate; Duration: 15 minutes and 37 seconds; This course has: 7 Units
- COURSELeading Successful ChangeIntermediateDuration: 4 minutesDifficulty: Intermediate; Duration: 4 minutes; This course has: 2 Units
- COURSEAlana Layton
Amazon CodeGuru Profiler - Profile Application Using Machine LearningIntermediateDuration: 28 minutes and 31 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 28 minutes and 31 seconds; Content Topics: Development; This course has: 6 Units - LEARNING PATHUPDATEDMastering Azure Billing, Tagging & Management GroupsIntermediateDuration: Up to 1 hour and 26 minutesType: updated learning path; Difficulty: Intermediate; Description: Welcome to this course on Mastering Azure Billing, Tagging & Management Groups.; Duration: Up to 1 hour and 26 minutes; Content Topics: Microsoft Azure; This learning path has: 4 Courses, 2 Exams
- HANDS-ON LABJun FritzOrchestrating AI Workflows with AWS Agent Squad and Model Context ProtocolIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to build a multi-agent system using AWS Agent Squad and the Model Context Protocol (MCP) to orchestrate complex AI workflows with multiple specialized agents in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
- HANDS-ON LABPaul Thomas
Creating Agentic Reasoning & Action with Agent Designer on Google CloudBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Paul Thomas; Difficulty: Beginner; Description: Create multi-step agents using Agent Designer to perform an API call to perform location lookup and local activities.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - COURSENEWAzure Disk and Snapshot ManagementBeginnerDuration: 16 minutes and 41 secondsType: new course; Difficulty: Beginner; Duration: 16 minutes and 41 seconds; Content Topics: Microsoft Azure; This course has: 5 Units
- COURSENEWAzure Storage Cost OptimizationIntermediateDuration: 28 minutes and 55 secondsType: new course; Difficulty: Intermediate; Duration: 28 minutes and 55 seconds; Content Topics: Microsoft Azure; This course has: 6 Units
- LEARNING PATHNEWCost and Sustainability Optimization for Azure Storage and DatabasesIntermediateDuration: Up to 1 hour and 33 minutesType: new learning path; Difficulty: Intermediate; Description: Unlock the power of cost-efficient and environmentally conscious cloud architecture with this comprehensive course on Azure storage and database optimization.; Duration: Up to 1 hour and 33 minutes; This learning path has: 3 Courses, 3 Exams
- HANDS-ON LABJun FritzNEWFrom Code to Intent: Build Your First Kiro WorkflowBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Type: new hands-on lab; Difficulty: Beginner; Description: Learn how to use AWS Kiro's spec-driven workflow to build and deploy a serverless application on AWS, transforming plain language intent into production-ready code in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzGetting Started with AI Agent Observability using Gemini Enterprise Agent Platform and Cloud TraceBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Deploy and monitor an AI travel agent on GCP, focusing on observability and reliability best practices in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps
- COURSENEWAzure Database EfficiencyIntermediateDuration: 17 minutes and 3 secondsType: new course; Difficulty: Intermediate; Duration: 17 minutes and 3 seconds; This course has: 5 Units
- COURSENEWIntroductionAdvancedDuration: 1 minuteType: new course; Difficulty: Advanced; Duration: 1 minute; This course has: 1 Unit