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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
- COURSEDanny JesseeNEWReducing AWS Costs with Serverless ArchitecturesIntermediateDuration: 17 minutes and 17 secondsAuthor: Danny Jessee; Type: new course; Difficulty: Intermediate; Duration: 17 minutes and 17 seconds; Content Topics: Architecture; This course has: 5 Units
- COURSENEWAgile Best Practice | AI4IT |BeginnerDuration: 2 minutes and 3 secondsType: new course; Difficulty: Beginner; Duration: 2 minutes and 3 seconds; This course has: 2 Units
- COURSENEWAgile Introduction | AI4IT |BeginnerDuration: 2 minutes and 53 secondsType: new course; Difficulty: Beginner; Duration: 2 minutes and 53 seconds; This course has: 2 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.Explore all library
1537 to 1560 of 4929 results
Search results 1537 - 1560 of 4929Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- LEARNING PATHJonathan LeweyPrometheus: Pulling It All TogetherBeginnerDuration: Up to 7 hours and 35 minutesAuthor: Jonathan Lewey; Difficulty: Beginner; Description: This course provides you with an introduction to the Prometheus ecosystem.; Duration: Up to 7 hours and 35 minutes; Content Topics: Monitoring, Deployment, Compute, DevOps; This learning path has: 2 Courses, 1 Exam, 2 Hands-on labs
- LEARNING PATHLogan RakaiPython Beginner's Challenge GauntletBeginnerDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Run the gauntlet of Python lab challenges that increase in difficulty but are suitable for Python beginners.; Duration: Up to 1 hour and 40 minutes; Content Topics: Development; This learning path has: 5 Lab challenges
- LEARNING PATHDanny JesseeAWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification PreparationIntermediateDuration: Up to 78 hours and 30 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam; Duration: Up to 78 hours and 30 minutes; Content Topics: Amazon Web Services; This learning path has: 71 Courses, 11 Exams, 16 Hands-on labs
- LEARNING PATHOmnichannel StrategyIntermediateDuration: Up to 49 minutesDifficulty: Intermediate; Description: An in-depth look at creating a relevant and effective omnichannel strategy, responsive to both shifts in consumer behavior and technological advancements.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 2 Exams
- LEARNING PATHeCommerce Essentials for LeadersBeginnerDuration: Up to 13 minutesDifficulty: Beginner; Description: An overview of the changing retail landscape, and importance of business leaders taking ownership of eCommerce strategy to achieve profitable growth.; Duration: Up to 13 minutes; This learning path has: 1 Course
- LEARNING PATHThomas MitchellUsing Generative AI in Azure and Microsoft Power PlatformBeginnerDuration: Up to 1 hour and 22 minutesAuthor: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses
- LEARNING PATHBen LambertPython Fundamentals for Novice ProgrammersBeginnerDuration: Up to 48 hours and 51 minutesAuthor: Ben Lambert; Difficulty: Beginner; Description: Python has become one of the most popular programming languages. This course introduces the core language features through courses and hands-on labs.; Duration: Up to 48 hours and 51 minutes; Content Topics: Development; This learning path has: 24 Courses, 22 Hands-on labs
- LEARNING PATHThomas MitchellSC-400 Exam Prep: Microsoft Information Protection AdministratorIntermediateDuration: Up to 16 hours and 20 minutesAuthor: Thomas Mitchell; Difficulty: Intermediate; Description: This Course is designed to help you and your team prepare for the SC-400 Microsoft Information Protection Administrator exam.; Duration: Up to 16 hours and 20 minutes; Content Topics: Microsoft 365; This learning path has: 27 Courses, 1 Resource, 1 Exam
- HANDS-ON LABEric RaubGetting Started with Jenkins on Windows (AWS)IntermediateDuration: Up to 1 hour and 45 minutesAuthor: Eric Raub; Difficulty: Intermediate; Description: Get started today with Jenkins on Windows - AWS, one of the most popular cross-platform DevOps automation systems.; Duration: Up to 1 hour and 45 minutes; Content Topics: Networking, DevOps, Security; This hands-on lab has: 10 Lab steps
- HANDS-ON LABAndrew BurchillAWS CloudFormation PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn at your own pace as you explore the AWS CloudFormation service in this extended hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- HANDS-ON LABAndrew BurchillAmazon Virtual Private Cloud (Amazon VPC) PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Andrew Burchill; Difficulty: Beginner; Description: Experiment with modifying and observing a two-tier VPC in this hands-on playground.; Duration: Up to 4 hours; Content Topics: Networking, Security; This hands-on lab has: 2 Lab steps
- HANDS-ON LABCalculated SystemsEvaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- LAB CHALLENGEAndrew BurchillAmazon CloudWatch Metric Filtering ChallengeBeginnerDuration: Up to 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon CloudWatch skills to the test in this hands-on challenge lab as you are tasked with creating a metric filter and an alarm.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
- LAB CHALLENGEAndrew BurchillAWS CloudFormation Stack Update ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
- HANDS-ON LABLogan RakaiDeploy Container Workloads with Amazon LightsailBeginnerDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Beginner; Description: Use Lightsail containers to deploy a container workload and monitor it in this lab.; Duration: Up to 1 hour; Content Topics: Compute; This hands-on lab has: 5 Lab steps
- HANDS-ON LABLuke OrellanaTesting Terraform Code in Azure with TerratestAdvancedDuration: Up to 50 minutesAuthor: Luke Orellana; Difficulty: Advanced; Description: Develop a test to validate a Terraform module using Terratest, a popular Golang library for testing Terraform code.; Duration: Up to 50 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLuke OrellanaPassing Outputs Between Terraform Modules with Terragrunt in AzureAdvancedDuration: Up to 40 minutesAuthor: Luke Orellana; Difficulty: Advanced; Description: Learn advanced Terraform techniques by reducing the blast radius of critical infrastructure using Terragrunt to deploy an environment with separate Terraform states.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLuke OrellanaKeeping Terraform Remote State DRY with Terragrunt in AzureAdvancedDuration: Up to 40 minutesAuthor: Luke Orellana; Difficulty: Advanced; Description: Learn how to use Terragrunt to create separate Terraform environments with a remote state following DRY principles.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLogan RakaiLinux Terminal Playground (Red Hat)BeginnerDuration: Up to 4 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: Practice your Linux skills in this lab and get familiar with Red Hat Linux by accessing a long-running instance browser terminal.; Duration: Up to 4 hours; Content Topics: Operating System; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJeremy CookKubernetes Monitoring Playground (Kubernetes Dashboard, Prometheus, and Grafana)IntermediateDuration: Up to 4 hoursAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab playground, you'll have the opportunity to play around with a production-grade, preconfigured Kubernetes monitoring environment consisting of the Kubernetes Dashboard, Prometheus, and Grafana.; Duration: Up to 4 hours; Content Topics: DevOps, Monitoring, Deployment, Compute; This hands-on lab has: 4 Lab steps
- LAB CHALLENGELogan RakaiPython Challenge: RaindropsBeginnerDuration: Up to 15 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Convert a number into a string that contains raindrop sounds corresponding to certain potential factors in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
- LAB CHALLENGELogan RakaiPython Challenge: Reverse StringBeginnerDuration: Up to 15 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Write code to reverse a given string in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
- HANDS-ON LABLuke OrellanaAzure Notebooks Machine Learning PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Luke Orellana; Difficulty: Beginner; Description: In this lab playground, choose Azure Notebook samples and explore the Azure Machine Learning service using Python or R.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLuke OrellanaBuilding Azure ML Pipelines using the Azure Machine Learning SDKIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Luke Orellana; Difficulty: Intermediate; Description: In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps