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Test your technical and soft skills in realistic, role-based scenarios. Interact with AI characters, ask the right questions, and make real-world decisions just like you would on the job.Explore SimuLabsIntroducing SimuLabs: AI-powered lab simulations
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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
NEWGetting Started with AI Agent Observability using Vertex AI Agent Engine and Cloud TraceBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Type: new hands-on lab; 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 - HANDS-ON LABQA
NEWApply guardrails to prevent the output of harmful contentIntermediateDuration: Up to 2 hours and 7 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: apply guardrails to prevent the output of harmful content; Duration: Up to 2 hours and 7 minutes; This hands-on lab has: 2 Lab steps - HANDS-ON LABQANEWCreate an Azure AI chat agent with the Microsoft Agent Framework SDKBeginnerDuration: Up to 2 hours and 7 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Beginner; Description: Create an Azure AI chat agent with the Microsoft Agent Framework SDK; Duration: Up to 2 hours and 7 minutes; This hands-on lab has: 2 Lab steps
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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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Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- LEARNING PATHGuy Hummel
FREELearning About AzureIntermediateDuration: Up to 10 hours and 52 minutesAuthor: Guy Hummel; Type: free learning path; Difficulty: Intermediate; Description: This course was specially designed to build your Azure skills and practice them through hands-on labs.; Duration: Up to 10 hours and 52 minutes; Content Topics: Microsoft Azure; This learning path has: 10 Courses, 1 Exam, 4 Hands-on labs - LEARNING PATHJeremy Cook
Introduction to Machine Learning on AWSBeginnerDuration: Up to 6 hours and 15 minutesAuthor: Jeremy Cook; Difficulty: Beginner; Description: Learn the tools and practices of Machine Learning on Amazon Web Services with a blend of instructional courses, quizzes, and hands-on labs.; Duration: Up to 6 hours and 15 minutes; Content Topics: Machine Learning; This learning path has: 5 Courses, 2 Hands-on labs - HANDS-ON LABLuke Orellana
Getting Started with Azure SQL DatabaseBeginnerDuration: Up to 45 minutesAuthor: Luke Orellana; Difficulty: Beginner; Description: Explore the main features of Azure SQL and learn how to deploy and manage the service by connecting to the database and assigning user access in this lab.; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrea Giussani
Machine Learning with scikit-learnBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABLogan RakaiApplied 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 LABAndrea GiussaniPySpark - 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
- HANDS-ON LABAndrew Burchill
Moderating Content with Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system 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 LABAna Rojo Echeburua
Text analysis and LLMs - transformer model architectureIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore transformer model architecture in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Evaluating, Deploying, and Observing ModelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model evaluation, deployment, and observation in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Advanced Text GenerationIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore advanced text generation tools and techniques in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - Tokens and EmbeddingsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore tokens and embeddings in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaText Analysis and LLMs - OverviewIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore an overview of language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaImproving Agentic Systems with RAG & Prompt EngineeringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 7 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 EcheburuaEquipping Agents with ToolsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 5 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 LABAndrew BurchillDeploying Large Language Models Using Ray ServeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the scalable Ray Serve framework to performantly deploy a large language model in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzInvoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- HANDS-ON LABJun FritzEmbedding Documents With LangChain and Amazon BedrockIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- HANDS-ON LABLogan RakaiPredicting Time-Series Data With Amazon ForecastBeginnerDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Analyze household energy consumption and go from raw data to accurate forecasts using the built-in algorithms provided by Amazon Forecast in this hands-on lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
- HANDS-ON LABJun FritzBuilding a PDF RAG Chatbot Powered by LangChain and Amazon BedrockIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
- HANDS-ON LABAna Rojo EcheburuaText analysis and LLMs - prompt engineeringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore prompt engineering in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaA Practical Introduction to Language ModelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 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 EcheburuaText analysis and LLMs - using pre-trained language modelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore the use of pre-trained language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
- HANDS-ON LABAna Rojo EcheburuaWorking with Multiple AgentsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 4 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