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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 LABQA
NEWCreate 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 - HANDS-ON LABQA
NEWExplore and Compare ModelsIntermediateDuration: Up to 2 hours and 7 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: explore and compare models; Duration: Up to 2 hours and 7 minutes; This hands-on lab has: 2 Lab steps
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABAna Rojo Echeburua
Text 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 Echeburua
Text 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 Echeburua
Text 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 Echeburua
Improving 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 Echeburua
Equipping 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 LABAna Rojo Echeburua
Working 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 - HANDS-ON LABJun Fritz
Developing an ETL Job in AWS Glue StudioBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to develop an AWS Glue job using the AWS Glue visual ETL editor in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Analytics; This hands-on lab has: 4 Lab steps - HANDS-ON LABParveen Singh
Building Generative Search Application using Azure AI Search and OpenAIAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Monitoring Data Quality Issues with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Working with Azure AI Translator ServiceBeginnerDuration: Up to 45 minutesAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to create an Azure AI Translators service using the Azure Portal in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon BedrockIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to perform AI prompt-chaining and integrate Amazon Bedrock with AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Invoking 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 LABAndrew Burchill
Using IAM Roles Anywhere to Access Resources From Outside AWSBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to extend IAM roles and policies to non-AWS workloads 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 LABParveen Singh
Creating a Language Understanding Model Using Azure Language ServiceAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to create a language understanding model that can be used to classify text into categories using Azure Language Service.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 5 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 LABBen Lambert
Observability: Open TelemetryIntermediateDuration: Up to 2 hours and 30 minutesAuthor: Ben Lambert; Difficulty: Intermediate; Description: OpenTelemetry has become the standard for collecting telemetry data from your applications and infrastructure. Learn how to instrument applications to provide key insights.; Duration: Up to 2 hours and 30 minutes; Content Topics: Site Reliability; This hands-on lab has: 9 Lab steps - HANDS-ON LABJun Fritz
Evaluating Network Security With Amazon VPC Network Access AnalyzerBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to identify unintended network access to AWS resources using Amazon VPC Network Access Analyzer in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Networking, Security; This hands-on lab has: 4 Lab steps - HANDS-ON LABBen Lambert
Git ReflogAdvancedDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Advanced; Description: Git reflog can recover lost commits, branches, and changes. Explore the 'git reflog' command with this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps - HANDS-ON LABBen Lambert
Undoing Changes in Different States of GitIntermediateDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Intermediate; Description: Git includes multiple commands for undoing changes, depending on the situation. This hands-on lab covers the reset and revert commands.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Examining an AWS App Runner ServiceBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to easily deploy web applications with no prior AWS experience by examining an AWS App Runner service in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: AWS App Runner; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Docker: Exploring the DockerfileIntermediateDuration: Up to 3 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Gaining a mastery of Docker starts with the Dockerfile. Creating and maintaining Dockerfiles requires an understanding of the supported instructions. This hands-on lab explores the structure and usage of Dockerfiles.; Duration: Up to 3 hours; Content Topics: Containers; This hands-on lab has: 11 Lab steps - HANDS-ON LABBen Lambert
Docker: Building ServicesIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Gain further insights into Docker Engine by creating a multi-container service without Compose. This hands-on lab steps through the creation of a three container web application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 5 Lab steps - HANDS-ON LABJun Fritz
Configuring AWS Lambda LayersIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to configure and share AWS Lambda layers in the AWS console and with the AWS SAM CLI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Python: ExceptionsIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps