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1259 courses available

Amazon Web Services

Designing and Deploying an Amazon Elastic File System (Amazon EFS) Solution

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Amazon Elastic File System (Amazon EFS) provides a simple, serverless, set-and-forget elastic file system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to petabytes without disrupting applications,…
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Microsoft

Desktop flows and Robotic Process Automation in Power Automate

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Desktop flows and Robotic Process Automation in Power Automate

Modules in this learning path:

• Build First Desktop Flow
• Pad Flow Control
• Pad Conditionals
• Pad Variables
• Input Parameters
• Pad Loops
• Pad Power Automate Desktop Recording Features
• Pad Scripting
• Pad Web
• Pad Exception Handling

Products: Power Automate

Roles: Developer

Level: Intermediate

Subjects: Automation

Duration: 372 minutes

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Amazon Web Services

DevOps Engineer Learning Plan

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A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…
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Amazon Web Services

DevOps Engineer Learning Plan (includes Labs)

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A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…
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Amazon Web Services

DevOps Engineering - Supplemental Lab Playlist

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This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training DevOps Engineering on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice
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Microsoft

DevOps foundations: The core principles and practices

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Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle. (AZ-2008)

Modules in this learning path:

• Discover Devops
• Plan with Devops
• Develop with Devops
• Deliver with Devops
• Operate with Devops

Products: Github, Azure, Azure Cloud Services, Azure Devops

Roles: Administrator, Developer, Devops Engineer, Security Engineer, Security Operations Analyst, Solution Architect, Student, Support Engineer

Level: Beginner

Subjects: Devops, Cloud Computing, Cloud Security, Key Management, Information Protection Governance, Identity Access, Compliance

Duration: 269 minutes

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Microsoft

Develop AI-enabled apps using the GitHub Copilot SDK

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This module covers how to develop AI-enabled applications using the GitHub Copilot SDK. You install the SDK, explore its features, and build AI agents that can be integrated into your applications to automate tasks and enhance functionality.

Units in this learning path:

• Introduction
• What AI Agent
• What Github Copilot Sdk
• Examine AI Agent Use Cases
• Design AI Agents
• Implement AI Agents Github Copilot Sdk
• Adapt Extend AI Agents
• Exercise Integrate AI Agent Github Copilot Sdk
• Knowledge Check
• Summary

Products: Github, Vs Code

Roles: Developer

Level: Intermediate

Subjects: App Development, Productivity

Duration: 117 minutes

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Microsoft

Develop a Site Reliability Engineering (SRE) strategy

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Sustainably achieve the appropriate level of reliability in your systems, services, and products and prepare for Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions.

Modules in this learning path:

• Intro to Site Reliability Engineering
• Manage Site Reliability
• Cmu Cloud Elasticity
• Cmu Build Apps Cloud
• Monitor Azure Vm Using Diagnostic Data

Products: Azure, Azure Monitor, Azure Load Balancer, Azure Virtual Machines

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Beginner

Subjects: Cloud Computing

Duration: 252 minutes

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Microsoft

Develop agents and applications using agentic programming tools

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Learn how to develop applications using agentic programming tools and techniques. This training covers how to configure custom agents in the development environment, how to develop or update apps using the GitHub Spec Kit, and how to create AI-enabled apps with embedded agents using the GitHub Copilot SDK.

Modules in this learning path:

• Configure Customize Github Copilot Visual Studio Code
• Spec Driven Development Github Spec Kit Greenfield Intro
• Spec Driven Development Github Spec Kit Microsoft Internal
• Develop AI Enabled Apps Using Github Copilot Sdk

Products: Github

Roles: Developer

Level: Intermediate

Subjects: App Development, Productivity

Duration: 490 minutes

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Microsoft

Develop apps with the Microsoft Graph Toolkit

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New to Microsoft Graph Toolkit? Develop Apps with Microsoft Graph Toolkit helps you learn basic concepts of Microsoft Graph Toolkit. It will guide you with hands-on exercises on how to use the Microsoft Graph Toolkit, a set of web components and authentication providers to connect your web app to Microsoft Graph and load data from Microsoft 365.

Modules in this learning path:

• Mgt Intro
• Msgraph Toolkit Customize Part One
• Msgraph Toolkit Customize Part Two
• Msgraph Toolkit Improve Performance

Products: M365, Ms Graph

Roles: Developer

Level: Beginner

Subjects: Custom App Development

Duration: 91 minutes

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Microsoft

Develop code features using GitHub Copilot tools

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This module explores using GitHub Copilot autocompletion suggestions to create new code. Autocompletion suggestions are generated, managed, and implemented using the GitHub Copilot extension for Visual Studio Code.

Units in this learning path:

• Introduction
• Examine Code Development Features Github Copilot
• Examine Github Copilot Best Practices
• Generate Code Github Copilot Code Completions
• Generate Code Github Copilot Chat
• Exercise Develop Code Features Github Copilot
• Knowledge Check
• Summary

Products: Github

Roles: Developer

Level: Intermediate

Subjects: App Development, Productivity

Duration: 74 minutes

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Microsoft

Develop event-driven AI workflows with Azure Event Grid

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Learn how to build event-driven AI workflows using Azure Event Grid to route events from sources to handlers with low latency, configure delivery policies, and publish custom events.

Units in this learning path:

• Introduction
• Understand Event Grid Concepts
• Event Schemas Properties
• Delivery Retry Policies
• Publish Custom Events
• Exercise Publish Receive Events
• Knowledge Check
• Summary

Products: Azure Event Grid

Roles: Developer

Level: Intermediate

Subjects: Custom App Development

Duration: 84 minutes

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