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Learn how to create, configure, and optimize declarative agents using TypeSpec. Unlock new scenarios and empower users to get answers from all your business data.

Units in this learning path:

• Introduction
• What Typespec
• Exercise Scaffold New Declarative Agent
• Exercise Write Instructions Conversation Starters
• Exercise Integrate Knowledge Actions
• Module Assessment
• Summary

Products: Microsoft 365 Copilot, Ms Graph, Vs Code

Roles: Developer

Level: Beginner

Duration: 50 minutes

Learn how to build and deploy deployment stacks.

Units in this learning path:

• Introduction
• Create Deployment Stack
• Exercise Create Deploy Deployment Stack
• Update Delete Deployment Stack
• Exercise Update Delete Deployment Stack
• Knowledge Check
• Summary

Products: Azure, Azure Resource Manager

Roles: Administrator, Developer, Devops Engineer

Level: Intermediate

Subjects: Cloud Computing, Devops

Duration: 38 minutes

In this module, you'll learn how to use Playwright to test a sample web application. You'll learn how to run tests, view test reports, and understand the structure of a Playwright project. You'll also learn how to use Visual Studio Code to run tests, debug tests, and record new tests.

Units in this learning path:

• Introduction
• Introduction to Playwright
• Set Up Playwright
• Understand Test Configuration
• Understand Test Specification
• Get Started Using Vs Code
• Knowledge Check
• Summary

Products: Playwright, Vs Code

Roles: Developer

Level: Beginner

Duration: 64 minutes

Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces. Each microservice typically encapsulates simple business logic, which you can scale out or in. You test, deploy, and manage the microservice independently. Smaller teams develop a microservice based on a customer scenario, and choose the technologies that they use. This module teaches you how to build your first microservice by using .NET.

Units in this learning path:

• Introduction
• What Are Microservices
• Exercise Build Docker Image
• Orchestrators
• Exercise Create Docker Compose File
• Summary

Products: Dotnet

Roles: Developer

Level: Beginner

Subjects: Custom App Development

Duration: 28 minutes

Learn how to build your first web app with Blazor.

Units in this learning path:

• 1 Introduction
• Configure Environment
• 3 Exercise Configure Environment
• 4 Blazor Components
• 5 Exercise Add Component
• Knowledge Check
• 8 Summary

Products: Aspnet Core, Blazor, Dotnet

Roles: Developer

Level: Beginner

Duration: 32 minutes

Bring automation and workflows to Microsoft Teams by using Microsoft Power Automate and Microsoft Dataverse for Teams.

Units in this learning path:

• 1 Introduction
• 2 Workflow Types
• 3 Create Workflow
• 4 Add Flow
• 5 Schedule
• 6 Check
• 7 Summary

Products: Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Process Workflow

Duration: 25 minutes

Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI.

Units in this learning path:

• Introduction
• Explore Azure Openai
• Understand Vector Database Retrieval Augmentation Generation Embeddings
• Implement Retrieval Augmentation Generation Vcore Based Cosmos Db Mongodb
• Exercise Develop AI Copilot Vcore Based Azure Cosmos Db Mongodb
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 73 minutes

Find out how to build your startup team and find cofounders. Learn how to benefit from diversity in teams, mentors, and risk management measures.

Units in this learning path:

• Introduction
• Ideal Startup Team
• Risk Management
• Build Diverse Teams
• Use Mentors
• Knowledge Check
• Summary

Products: Consumer

Roles: Business Owner, Business Analyst, Functional Consultant, Student

Level: Beginner

Subjects: Business Applications

Duration: 34 minutes

This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.

In this course, you will learn about the benefits, architecture, deployment, and additional features of the Scale-Out Computing on AWS solution. This course includes presentations, demonstrations, videos, and an assessment.

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Building Batch Data Analytics Solutions on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

In this course, you learn how to make infrastructure choices to support containerized applications running on Amazon Elastic Container Service (Amazon ECS) at an enterprise scale. You learn how to scope requirements based on your application,…