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This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

This course is focused on understanding how various platforms are managed through Workspace ONE UEM. The primary objective of this session is to ensure confidence in the capabilities of Workspace ONE UEM and how it manages multiple platforms all in one place.

This course is designed to teach participants how to create, deploy, and manage intelligent AI agents using Azure AI Foundry. Students will learn to integrate advanced AI capabilities through agents into scalable, customizable solutions.

In this course, you'll learn the basics of GitHub and gain a better understanding of its fundamental features with a hands-on exercise all within a GitHub repository. You'll learn best practices for building, hosting, and maintaining a secure repository on GitHub.

This course teaches learners how to get started with Microsoft 365 Copilot Chat, craft effective prompts, and use its AI-powered features to enhance productivity, streamline work, and collaborate securely in real-time.

Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Advanced Concepts in Data Visualization is a three-day immersive course designed for professionals who want to elevate their data storytelling and dashboard design skills. Building on foundational visualization principles, this course dives into advanced chart types,...

This course explores how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.

Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use cases—no coding required—making it ideal for those who want to confidently integrate AI into their work.

This course is designed so that students can learn how z/OS systems operate in a Parallel Sysplex environment through discussion topics and hands-on lab exercises. Students learn problem determination skills, practice enhanced sysplex operations, including management...