Explore digital courses

Learn how to design, deploy, and manage agentic AI systems within the software development lifecycle by integrating, orchestrating, and governing autonomous agents using GitHub to ensure safe, reliable, and scalable delivery.

Modules in this learning path:

• Foundations Agentic AI
• Design Agent Architecture Integration
• Agent Tooling Mcp Execution Environments

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect, Student

Level: Beginner, Intermediate

Duration: 120 minutes

This is part two of two part learning series to support our new certification, Developing in Agentic AI Systems. In this learning path you will learn how to design, deploy, and manage agentic AI systems within the software development lifecycle by integrating, orchestrating, and governing autonomous agents using GitHub to ensure safe, reliable, and scalable delivery.

Modules in this learning path:

• Multi Agent Systems Orchestration
• Memory State Evaluation
• Governance Guardrails Operations

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect, Student

Level: Beginner, Intermediate

Duration: 140 minutes

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

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

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…

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.

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.

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

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

This is an introductory course on the differences between security groups and NACLs, or Network Access Control Lists. In this course, we discuss how to secure the networking of your applications in AWS by using these two resources. We also review…

This credential earner has the foundational knowledge to navigate the digital world, including computer use, internet navigation, and digital communication. The individual can research, create, share, and present information effectively, responsibly, and safely in digital environments. The earner understands key concepts in artificial intelligence, software engineering, and data analysis, and recognizes their importance for productivity and success in academic and professional contexts.

This credential earner demonstrates knowledge of the reasoning and factors for developing a digital mindset, and the required attributes and strategies for cultivating one. The individual knows about ways of working and thinking to use digital tools to their advantage. The earner has a conceptual understanding of the importance of having a digital mindset and applies strategies to be a confident and competent digital citizen.