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- HANDS-ON LABLogan Rakai
NEWOrchestrate Agents with Microsoft Foundry WorkflowsIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Logan Rakai; Type: new hands-on lab; Difficulty: Intermediate; Description: Learn to create and manage multi-agent workflows using Microsoft Foundry to automate complex tasks.; Duration: Up to 1 hour and 15 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABPaul Thomas
NEWIntroduction to Agentic AI on Google CloudBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Paul Thomas; Type: new hands-on lab; Difficulty: Beginner; Description: Introduction to Agentic AI on the Google Cloud Platform using Vertex AI Studio and Agent Designer.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps - COURSENEWAI GuardrailsBeginnerDuration: 16 minutes and 35 secondsType: new course; Difficulty: Beginner; Duration: 16 minutes and 35 seconds; This course has: 10 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABFarish Kashefinejad
Working with JavaScript ArraysBeginnerDuration: Up to 40 minutesAuthor: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab, you will be working with JavaScript arrays. Arrays are zero indexed data collections with many built-in methods.; Duration: Up to 40 minutes; Content Topics: Development; This hands-on lab has: 7 Lab steps - HANDS-ON LABFarish Kashefinejad
JavaScript Primitive Data Type Variables and Console LogBeginnerDuration: Up to 40 minutesAuthor: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab, you are to declare variables of different primitive types. Then output each variable's value in the console.; Duration: Up to 40 minutes; Content Topics: Development; This hands-on lab has: 8 Lab steps - HANDS-ON LABCalculated Systems
Visualizing Data in Amazon QuickSightBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: Learn how Amazon Quicksight can help you get the most out of your data by allowing you to visualize, embed, and share data quickly.; Duration: Up to 1 hour; Content Topics: Analytics; This hands-on lab has: 3 Lab steps - HANDS-ON LABThomas Holmes
Practical Data Science: Introduction to PythonBeginnerDuration: Up to 2 hoursAuthor: Thomas Holmes; Difficulty: Beginner; Description: This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps - LAB CHALLENGEMatt MartinezIntro to SQL ChallengeBeginnerDuration: Up to 1 hourAuthor: Matt Martinez; Difficulty: Beginner; Description: This lab challenge provides you with a SQL environment. You must perform several SQL tasks to complete the challenge.; Duration: Up to 1 hour; Content Topics: SQL; This lab challenge has: 3 Lab steps
- LAB CHALLENGELogan Rakai
Introduction to Java ChallengeBeginnerDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Beginner; Description: This lab challenge will help you confirm your knowledge in topics covered in the Introduction to Java learning path.; Duration: Up to 1 hour; Content Topics: Development; This lab challenge has: 2 Lab steps - HANDS-ON LABJeremy Cook
Create a Voting Web App using ReactIntermediateDuration: Up to 1 hour and 45 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: This lab shows you how to install and set up a React-based development environment, allowing you to compile and execute your own React-based web applications.; Duration: Up to 1 hour and 45 minutes; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew Burchill
Employing Generative AI for Development With Amazon BedrockBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps - HANDS-ON LABKunal HariaFundamentals of RBeginnerDuration: Up to 8 hoursAuthor: Kunal Haria; Difficulty: Beginner; Description: This lab includes several modules for you to work through to cement your R fundamentals proficiency.; Duration: Up to 8 hours; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLuke OrellanaCreating DRY Terraform Environments with Terragrunt in AzureAdvancedDuration: Up to 40 minutesAuthor: Luke Orellana; Difficulty: Advanced; Description: Follow along in this hands-on lab and use Terragrunt to duplicate a Terraform environment and change the environment by modifying a single file.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLuke OrellanaCreating Loops in Terraform and Scaling Resources in AzureIntermediateDuration: Up to 40 minutesAuthor: Luke Orellana; Difficulty: Intermediate; Description: Follow along with this hands-on lab and create clean scalable Terraform code by using loops.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun Fritz
Implementing Safeguards for AI Applications With Amazon Bedrock GuardrailsBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Configure an Amazon Bedrock Guardrail to ensure safe, responsible interactions with your AI applications in this hands-on lab.; Duration: Up to 30 minutes; This hands-on lab has: 2 Lab steps - HANDS-ON LABDaniel Wood
CKA Practice Exam: StorageIntermediateDuration: Up to 1 hourAuthor: Daniel Wood; Difficulty: Intermediate; Description: Prepare for the Storage domain of the Certified Kubernetes Administrator (CKA) exam in this lab with exam-like tasks and a solution guide.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps - HANDS-ON LABBhupinder Singh
Using Security Contexts to Secure Kubernetes ClustersAdvancedDuration: Up to 40 minutesAuthor: Bhupinder Singh; Difficulty: Advanced; Description: Practice defense in depth in Kubernetes using the security context security primitive in this lab.; Duration: Up to 40 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABLogan Rakai
Troubleshooting Kubernetes: Cluster Component FailuresBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Detect, diagnose, and remedy Kubernetes cluster component failures.; Duration: Up to 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABCalculated Systems
Handling Missing DataIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through a number of ways to handle missing data including using a default value and building a model to predict the missing data.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - LAB CHALLENGELuke OrellanaDeploy a Virtual Machine with Terraform ChallengeAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Luke Orellana; Difficulty: Advanced; Description: In this lab challenge, you will test your Terraform knowledge. You will be tasked with developing an infrastructure as code solution using Terraform by creating a configuration to create a Virtual Machine.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, DevOps; This lab challenge has: 2 Lab steps
- HANDS-ON LABLuke OrellanaImporting Existing Infrastructure into Terraform in AzureBeginnerDuration: Up to 40 minutesAuthor: Luke Orellana; Difficulty: Beginner; Description: Follow along with this hands on lab and import existing Azure resources into a Terraform configuration to be managed by code.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew Burchill
Using AWS Glue for ETL WorkloadsBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Glue jobs to perform an Extract, Transform, and Load (ETL) task 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 LABLogan Rakai
Applied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABLogan Rakai
Securing Kubernetes Clusters using Authentication and AuthorizationAdvancedDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Advanced; Description: Practice defense in depth in Kubernetes including authentication and authorization; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABLogan Rakai
Troubleshooting Kubernetes: Application FailuresAdvancedDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Advanced; Description: Detect, diagnose, and remedy Kubernetes application failures.; Duration: Up to 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Introduction to Kusto Query Language (KQL)IntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Explore how to use the KQL query language and operators to filter and transform the log data to make it usable and actionable for the security and operations team in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - How to build a Machine Learning PipelineBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps