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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
- COURSENEWTest Case Generation with AI Assistance (coming soon)IntermediateDuration: 1 minuteType: new course; Difficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
- COURSENEWAutomating Documentation With AI (coming soon)IntermediateDuration: 1 minuteType: new course; Difficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
- COURSENEWRefactoring for Readability and Performance (coming soon)IntermediateDuration: 1 minuteType: new course; Difficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
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1105 to 1128 of 5033 results
Search results 1105 - 1128 of 5033Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- COURSEAndrea Giussani
Building Machine Learning Pipelines with scikit-learn - Part TwoIntermediateDuration: 1 hour and 9 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 9 minutes; Content Topics: Machine Learning; This course has: 6 Units - COURSEHallam Webber
Azure Database Performance TuningIntermediateDuration: 37 minutes and 14 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 37 minutes and 14 seconds; Content Topics: Microsoft Azure; This course has: 16 Units - COURSEHallam Webber
Azure Database Authentication and AccessIntermediateDuration: 44 minutes and 13 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 44 minutes and 13 seconds; Content Topics: Microsoft Azure; This course has: 13 Units - LEARNING PATHDaniel Mease
Google Cloud Platform Technical EssentialsIntermediateDuration: Up to 19 hours and 31 minutesAuthor: Daniel Mease; Difficulty: Intermediate; Description: Everything you need to get started building products and services on Google Cloud Platform.; Duration: Up to 19 hours and 31 minutes; Content Topics: Google Cloud Platform; This learning path has: 13 Courses, 4 Exams, 8 Hands-on labs - HANDS-ON LABCalculated Systems
Evaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Evaluating 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 - HANDS-ON LABCalculated Systems
Testing Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps - LAB CHALLENGEAndrew Burchill
AWS 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 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
- LAB CHALLENGELogan Rakai
Python 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 Rakai
Python 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 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
- HANDS-ON LABCalculated Systems
Capturing New Knowledge from Your DataIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to utilize SQL aggregate functions and utilize complex functions, and learn how to get complex insights from your data.; Duration: Up to 1 hour and 15 minutes; Content Topics: SQL; This hands-on lab has: 3 Lab steps - HANDS-ON LABCalculated Systems
Working With Complex Rest APIsBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab will dive into understanding GET, POST, DELETE, and PATCH HTTP verbs and will teach you to use Python to interact with an REST API.; Duration: Up to 1 hour; Content Topics: Web; This hands-on lab has: 2 Lab steps - HANDS-ON LABMatt MartinezImplementing GitOps for Kubernetes in AWSAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Matt Martinez; Difficulty: Advanced; Description: Use Weave Flux and Helm to implement GitOps methodologies in an AWS-hosted Kubernetes application by using Git as a single source of truth for Kubernetes deployments.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 7 Lab steps
- HANDS-ON LABStefano Cascavilla
Analyze and Retrieve Information from Text Using Google Cloud Natural LanguageIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps - HANDS-ON LABJeremy Cook
OpenShift - Build and Deploy a Simple Web ApplicationBeginnerDuration: Up to 2 hoursAuthor: Jeremy Cook; Difficulty: Beginner; Description: In this Lab scenario, you'll first use S2I to create a basic builder container image. The builder container image will then be used to build a runtime container image containing a simple static web portal application frontend. You'll then use the oc tool to launch and expose the containerized web portal application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 7 Lab steps - HANDS-ON LABLogan Rakai
Back Up Files and Folders with the Azure Backup AgentBeginnerDuration: Up to 1 hour and 10 minutesAuthor: Logan Rakai; Difficulty: Beginner; Duration: Up to 1 hour and 10 minutes; Content Topics: Management, Storage; This hands-on lab has: 9 Lab steps - HANDS-ON LABJeremy Cook
Create Kubernetes Nginx Ingress Controller for External API TrafficIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this lab, you'll learn how to deploy an Nginx Ingress Controller and install and expose a sample API service using an Ingress resource.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 8 Lab steps - HANDS-ON LABLogan Rakai
Perform a SQL Injection (SQLi) AttackIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Duration: Up to 30 minutes; Content Topics: Security; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Security Audit TechniquesIntermediateDuration: Up to 1 hour and 10 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Duration: Up to 1 hour and 10 minutes; Content Topics: Security; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Using Aurora RDS With an Amazon Bedrock Knowledge BaseBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure a custom vector store for use with an Amazon Bedrock Knowledge Base in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Security, Artificial Intelligence, Databases; This hands-on lab has: 5 Lab steps