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Microsoft

Developer use cases for AI with GitHub Copilot

chart-line-duotone-light-full Data Science
Developer Uses Cases for AI with GitHub Copilot explores ways developers can apply AI using GitHub Copilot to enhance productivity, ultimately enabling teams to save time, improve code quality, and boost developer satisfaction.

Units in this learning path:

• Introduction
• Boost Developer Productivity
• Align with Developer Preferences
• AI Software Development Lifecycle
• Understand Limitations Measure Impact
• Knowledge Check
• Summary

Products: Github

Roles: Developer, Devops Engineer, Student

Level: Intermediate

Subjects: Data Integration

Duration: 49 minutes

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Amazon Web Services

Developing Generative Artificial Intelligence Solutions

sparkles-duotone-light-full Artificial Intelligence
In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes defining a business use case, selecting a foundation model (FM), improving the performance of an FM, evaluating the…
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Amazon Web Services

Developing Machine Learning Solutions

sparkles-duotone-light-full Artificial Intelligence
In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate…
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Amazon Web Services

Developing Serverless Solutions on AWS - Course Supplement (OCS)

gear-duotone-light-full Software Development
The Online Course Supplement (OCS) is a supplemental resource for the course. The OCS provides a navigable overview of the course as well as reviews and knowledge checks that the student might use on their own or as part of class discussions. An…
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Amazon Web Services

Developing Serverless Solutions on AWS - Supplemental Lab Playlist

gear-duotone-light-full Software Development
This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Developing Serverless Solutions on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice
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Microsoft

Developing in the Windows Subsystem for Linux with Visual Studio Code

gear-duotone-light-full Software Development
In this module, you learn how to use the Windows Subsystem for Linux (WSL) with Visual Studio Code (VS Code). We explore the installation process and the basics of using WSL. Additionally, we install and utilize the Visual Studio Code WSL extension. Finally, we demonstrate how to debug and run Python code in VS Code within our WSL environment.

Units in this learning path:

• Introduction
• What Is Windows Subsystem Linux
• Setting Up Windows Subsystem Linux
• Setting Up Windows Subsystem Linux Extension
• Running Debugging
• Summary

Products: Vs Code

Roles: Developer

Level: Beginner

Subjects: App Development

Duration: 21 minutes

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Amazon Web Services

Developing on AWS - Supplemental Lab Playlist

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

Developing with Amazon DynamoDB

shield-halved-duotone-light-full Cyber Security
Amazon DynamoDB reflects a paradigm shift away from relational databases in terms of management, usage, and schema design. To fully take advantage of DynamoDB and its feature set, developers and architects need to understand how applications…
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IBM

Development for Cognitive Robots

sparkles-duotone-light-full Artificial Intelligence
This credential earner has essential hands-on knowledge of Internet of Things (IoT), web development, and chatbot technologies. The individual understands and can demonstrate how to build robots capable of interacting with their environment, devices, and people using the latest industry technologies.
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IBM

Development with AI and Web Services

sparkles-duotone-light-full Artificial Intelligence
This credential earner knows how to integrate Watson artificial intelligence and web services using Node-RED as a programming tool. The individual understands the basics of cloud-based software and web services communications using API REST protocol. The earner can build their own programs to consume data from the internet and integrate them with AI capabilities.
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Microsoft

Device deployment with Windows Autopilot

In this module, we review how you can use Windows Autopilot to deploy devices efficiently.

Units in this learning path:

• Introduction
• Windows Autopilot
• Deployment Process
• Other Capabilities
• Knowledge Check
• Summary

Products: Windows Autopilot

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Beginner

Duration: 17 minutes

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Microsoft

Device management with Microsoft Intune

In this module, you’ll learn how Microsoft Intune helps you easily manage devices and apps from the cloud.

Units in this learning path:

• Introduction
• Challenges
• Ways to Use Intune
• Set Up Intune
• Adding Assigning Apps
• App Protection Policies
• Intune Plans
• Knowledge Check
• Summary

Products: Intune

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Intermediate

Duration: 25 minutes

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