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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 Jessee
AWS 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 IvesNEWDesigning 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 LABQA
Azure Availability sets and Azure Load Balancer BasicIntermediateDuration: Up to 2 hoursAuthor: QA; Difficulty: Intermediate; Description: Learn how to deploy highly available Azure VMs into an availability set behind a Basic Azure Load Balancer by using Azure Resource Manager templates and analyze highly available Azure VMs deployed into an availability set behind a Basic Azure Load Balancer.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - COURSEDeniz Yilmaz
Configuring and Launching Hyperparameter Tuning Jobs With Amazon SageMaker AMTBeginnerDuration: 20 minutes and 33 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 20 minutes and 33 seconds; Content Topics: Amazon Web Services; This course has: 7 Units - COURSEDeniz Yilmaz
Optimize Machine Learning Models for Inference With SageMaker NeoBeginnerDuration: 39 minutes and 46 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 39 minutes and 46 seconds; Content Topics: Amazon Web Services; This course has: 7 Units - COURSEDeniz Yilmaz
Detecting Abnormal Operating Patterns Using Amazon DevOps GuruBeginnerDuration: 41 minutes and 39 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 41 minutes and 39 seconds; Content Topics: DevOps; This course has: 8 Units - LEARNING PATHUPDATEDBuilding Single and Multi-Agent SystemsIntermediateDuration: Up to 3 hours and 57 minutesType: updated learning path; Difficulty: Intermediate; Description: This course covers essential learning for creating single-agent systems and progressing to multi-agent systems.; Duration: Up to 3 hours and 57 minutes; Content Topics: Artificial Intelligence; This learning path has: 5 Courses, 1 Exam, 2 Hands-on labs
- LEARNING PATHText Analysis and LLMs with Python (Labs for ILT)IntermediateDuration: Up to 14 hours and 30 minutesDifficulty: Intermediate; Description: This course covers Text Analysis and LLMs with Python Labs.; Duration: Up to 14 hours and 30 minutes; This learning path has: 9 Hands-on labs
- HANDS-ON LABCalculated Systems
Creating a Weather Forecasting Chatbot with DialogflowAdvancedDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps - HANDS-ON LABBen Lambert
Gen AI Practitioner: Evaluate and IterateIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ben Lambert; Difficulty: Intermediate; Description: Learn to use an iterative workflow for prompt development.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABQA
AI Engineer M2 Workshop PlaygroundBeginnerDuration: Up to 7 hoursAuthor: QA; Difficulty: Beginner; Description: AI Engineer M2 Workshop Playground; Duration: Up to 7 hours; This hands-on lab has: 1 Lab step - HANDS-ON LABQA
AI in Software ArchitectureIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABAna Rojo Echeburua
End of Course Building AI Agents ProjectIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 9 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 LABAna Rojo Echeburua
Tracing, Observability, Monitoring & Evaluation in Agentic SystemsIntermediateDuration: Up to 2 hoursAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Learn about monitoring, observability, and evaluation in agentic AI systems using LangSmith and Tavily.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Building AI Agents for Good: Ethics, Risk, and ResponsibilityIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 6 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 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 LABQA
Network infrastructure using Cisco Packet TracerIntermediateDuration: Up to 2 hoursAuthor: QA; Difficulty: Intermediate; Description: This lab introduces you to how to work with multiple PKA files using Packet Tracer in a virtual environment.; Duration: Up to 2 hours; This hands-on lab has: 2 Lab steps - HANDS-ON LABStefano Cascavilla
Best Practices for Organizing dbt ModelsAdvancedDuration: Up to 1 hour and 15 minutesAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will define some dbt models and you will organize them following best practices in order to keep and maintain a clear dbt project.; 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
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 - COURSEAlana Layton
Amazon SageMaker Canvas: No-code Machine Learning for Business AnalystsBeginnerDuration: 21 minutes and 6 secondsAuthor: Alana Layton; Difficulty: Beginner; Duration: 21 minutes and 6 seconds; Content Topics: Amazon Web Services; This course has: 6 Units - HANDS-ON LABStefano Cascavilla
Mastering Pattern Matching in ScalaAdvancedDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will start using the pattern matching in Scala, to avoid complex checking on types and structures.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps - HANDS-ON LABStefano Cascavilla
Integrating Common Higher-Order Functions with the For-Expressions in ScalaAdvancedDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand the principles of the for-expressions in Scala, and you will understand how to implement map and filter with them.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps - HANDS-ON LABStefano Cascavilla
Writing and Using Higher-Order and Anonymous Functions in ScalaIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand and start using higher-order functions and anonymous functions.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABQA
Test Case Generation with AI AssistanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Automating Documentation with AIIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
AI-Powered Code ReviewsIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps