"Manage Microsoft 365 Copilot Administration" is a ​​3.5-hour course​​ designed for IT administrators and security professionals to implement Zero Trust principles and optimize AI governance within Microsoft 365 Copilot. The curriculum focuses on securing Copilot deployments through identity verification, data protection policies (like Microsoft Purview DSPM), and device/app management. Learners will master configuring Copilot settings, monitoring interactions via compliance dashboards, and managing web/mobile access to ensure alignment with organizational security standards. The course also addresses hybrid collaboration scenarios, such as securing Teams meetings and deleting interaction histories to meet GDPR/CCPA requirements.

This ​​2-hour 11-minute course​​, Transform Your Everyday Business Processes with Agents, empowers Microsoft 365 users to create and manage ​​no-code AI agents​​ embedded in SharePoint and Copilot Chat. Designed for business professionals, it teaches how to automate workflows, simplify complex tasks (e.g., customer service queries, data entry), and enforce IT governance. Learners explore agent components, build scenarios with natural language prompts, and deploy agents across Teams and SharePoint—all without coding.

"An AI Toolbox for Trainers" is a ​​2-hour 53-minute course​​ designed to empower educators and corporate trainers with AI tools that revolutionize learning environments. Through four modules, you’ll explore integrating AI into training plans, streamlining content creation with tools like ​​Microsoft 365 Copilot​​, and fostering inclusivity through personalized learning adaptations. Hands-on exercises include designing posters with ​​Microsoft Designer​​ and building training plans with Copilot, equipping learners to create dynamic, AI-enhanced curricula while addressing ethical considerations like bias and accessibility.

"Bring AI to Your Business with AI Builder" is a ​​2-hour 1-minute course​​ designed for business professionals and low-code developers seeking to integrate AI into workflows using Microsoft Power Platform. This four-module curriculum focuses on AI Builder—a no-code tool for creating AI models to automate tasks like document processing, sentiment analysis, and predictive analytics. Learners will master building grounded prompts, deploying models in Power Apps/Power Automate, and managing model lifecycles. The course also prepares participants for the ​​Microsoft Power Platform App Maker Associate certification​​, making it ideal for those aiming to enhance operational efficiency through AI-driven automation.

"Improve Business Performance with AI Builder" is a ​​4-hour 25-minute course​​ designed for business professionals and low-code developers seeking to integrate AI into everyday workflows using Microsoft Power Platform. This nine-module curriculum focuses on leveraging AI Builder's no-code capabilities to automate tasks like ​​document processing​​ (invoices, receipts), ​​text analysis​​ (sentiment, key phrases), and ​​object detection​​ for operational efficiency. Learners will master building custom models to extract data from business cards, detect languages, and deploy AI-driven automations in Power Automate. The course aligns with the ​​Microsoft Power Platform Functional Consultant Associate (PL-200)​​ certification, making it ideal for professionals aiming to streamline processes like customer feedback analysis or fraud detection.

"Extend Microsoft 365 Copilot in Copilot Studio" is a ​​3-hour 2-minute course​​ designed for developers and business users seeking to enhance Microsoft 365 Copilot's capabilities using low-code AI agents. This five-module curriculum focuses on building ​​declarative agents​​—customizable AI extensions that integrate external knowledge and workflows into Copilot. Learners will explore scenarios like adding custom knowledge bases (e.g., SharePoint documents), creating ​​prompt actions​​ for tailored generative responses, and connecting agents to external APIs via ​​connector actions​​ (e.g., Azure Data Explorer, CRM systems). The course also covers publishing agents to Microsoft 365 environments, ensuring alignment with organizational security and compliance standards.

"Operationalize Generative AI Applications (GenAIOps)" is a ​​1-hour 28-minute course​​ designed for developers and AI practitioners aiming to deploy and scale generative AI solutions effectively. Focused on ​​GenAIOps​​ (Generative AI Operations), the curriculum covers strategic planning, model lifecycle management, and performance evaluation of AI applications. Learners will explore code-first development approaches, compare language models (e.g., GPT-4, Claude), and implement custom evaluators to measure AI outputs against business goals. The course emphasizes reproducibility and reliability, aligning with industry practices for integrating generative AI into enterprise workflows.

"Develop Data-Driven Applications by Using Azure SQL Database" is a ​​5-hour 55-minute course​​ designed for developers and database administrators aiming to build scalable, AI-integrated applications with Azure SQL Database. The curriculum covers modern deployment strategies (including Hyperscale and serverless compute tiers), CI/CD automation via GitHub Actions/Azure DevOps, and AI-driven capabilities like vector search. Hands-on labs guide learners in creating REST/GraphQL APIs with ​​Data API Builder​​, importing data via REST endpoints, and securing databases with managed identities. The course aligns with Microsoft's latest innovations, such as SQL Server 2025's native JSON support and RAG pattern integration, preparing participants for enterprise-grade development.

"Use Artificial Intelligence in Microsoft Dynamics 365 Business Central" is a ​​2-hour 13-minute course​​ designed to empower businesses with AI-driven tools for financial and operational optimization. Focused on three practical AI applications, this course teaches users to leverage Azure AI and machine learning within Dynamics 365 Business Central to automate cash flow forecasting, predict sales and inventory trends, and identify late payments. Participants will learn to configure predictive models, integrate AI extensions, and refine data-driven strategies for smarter decision-making. Ideal for finance managers, supply chain professionals, and IT teams, the course combines guided exercises with real-world scenarios to bridge the gap between AI theory and actionable business outcomes.

"Build an AI Copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI" is a ​​3-hour 46-minute course​​ designed for developers and data engineers aiming to integrate AI-driven solutions with scalable database systems. Focused on ​​vCore-based Azure Cosmos DB for MongoDB​​, this course covers cluster deployment, migration strategies, high-availability management, and AI copilot development using ​​Retrieval Augmented Generation (RAG)​​ and vector search. Learners will explore tools like Azure Data Studio and Azure Databricks for seamless data migration, implement vector indexes for semantic queries, and deploy AI agents that combine Azure OpenAI’s language models with real-time data. The curriculum emphasizes enterprise scalability, cost optimization, and compliance, making it ideal for teams modernizing legacy systems or building AI-powered applications like chatbots or predictive analytics tools.