"Build AI Apps with Azure Database for PostgreSQL" is a 2-hour 26-minute course designed for developers and data engineers to integrate generative AI and machine learning into applications using ​​Azure Database for PostgreSQL - Flexible Server​​. Focused on the ​​azure_ai extension​​, this learning path teaches how to leverage Azure AI services (e.g., semantic search, sentiment analysis, text translation) directly within PostgreSQL workflows. Hands-on modules cover embedding generation with pgvector, real-time model inferencing, and Retrieval-Augmented Generation (RAG) patterns. Learners will build skills to create AI-driven solutions like fraud detection systems, multilingual apps, and automated summarization tools.

"Extend Microsoft 365 Copilot with Copilot Studio Actions and Connectors" is a 3-hour 20-minute course designed for IT professionals and developers to enhance Microsoft 365 Copilot's capabilities through custom extensions. Focused on ​​Copilot Studio​​, this learning path teaches how to integrate external data, automate workflows, and build tailored conversational AI agents. Participants will create ​​prompt actions​​ for generative responses, ​​connector actions​​ to pull data from external systems (e.g., Azure Data Explorer), and ​​conversational actions​​ for scenario-specific dialogues. Hands-on exercises cover low-code development, testing, and deployment, empowering teams to bridge Copilot with enterprise tools like SharePoint, CRM systems, and custom APIs.

共46節(第一階段4小時+第二階段36小時+第三階段6小時=46小時)，每週兩堂課，小程式/APP輕鬆學。
即時(2次)檢驗學習效果，專家講師親自自導，學完後能獨立上手專案。

共46節(第一階段4小時+第二階段36小時+第三階段6小時=46小時)，每週兩堂課，小程式/APP輕鬆學。
即時(2次)檢驗學習效果，專家講師親自自導，學完後能獨立上手專案。

"Responsible Use of Artificial Intelligence in Education" is a 2-hour 42-minute course designed for educators and trainers seeking to integrate AI ethically into learning environments. Aligned with Microsoft's Responsible AI Framework, this three-module curriculum explores principles like fairness, privacy, transparency, and accountability. Participants will learn to evaluate AI systems for bias, design inclusive solutions, and implement safeguards for data security. The course combines theoretical insights with hands-on exercises, including case studies on ethical AI deployment in college programs and organizational workflows. Ideal for those aiming to balance innovation with ethical rigor in education.

"Prepare Security and Compliance to Support Microsoft 365 Copilot" is a comprehensive ​​6-hour 31-minute course​​ designed for IT administrators and security professionals responsible for deploying Microsoft 365 Copilot securely. This seven-module curriculum focuses on configuring Microsoft 365's security and compliance ecosystem to support AI integration, covering identity management (Conditional Access, MFA), data protection (Microsoft Purview DLP, sensitivity labels), and Copilot-specific governance (extensibility, license management). Learners will master tools like ​​Microsoft Entra ID​​, ​​SharePoint Advanced Management​​, and ​​Privileged Identity Management​​ to mitigate risks like data oversharing, unauthorized access, and compliance gaps during Copilot adoption.

​​"MS-4010 - Extend Microsoft 365 Copilot with Declarative Agents Using Visual Studio Code"​​ is a ​​2-hour 37-minute technical course​​ designed for developers and IT professionals seeking to customize Microsoft 365 Copilot through declarative agents. This hands-on training covers building agents that integrate custom knowledge (via Microsoft Graph connectors), execute real-time actions via API plugins, and enhance user interfaces with Adaptive Cards. Using ​​Visual Studio Code​​ and ​​Teams Toolkit​​, learners will automate workflows (e.g., IT ticket resolution, CRM updates) while adhering to security standards like OAuth2 and API key authentication. The course includes practical labs and aligns with Microsoft's updated extensibility framework.

​​"Extend and Manage Microsoft Copilot Studio Agents"​​ is a ​​1-hour 54-minute intermediate course​​ designed for professionals who want to enhance and optimize AI-driven conversational agents built with Microsoft Copilot Studio. This three-module learning path focuses on advanced bot management, voice-enabled interactions, and integration with Azure AI Services for Language. Participants will learn to manage permissions, configure environments, deploy voice-based IVR systems, and leverage unstructured text analysis using Azure Cognitive Services. Ideal for developers and administrators, the course combines governance best practices with hands-on labs for deploying enterprise-grade agents across channels like SMS, chat, and voice.

"Draft, Analyze, and Present with Microsoft 365 Copilot" is a ​​5-hour 29-minute comprehensive course​​ designed for professionals seeking to master AI-driven workflows across Microsoft 365 apps like PowerPoint, Word, Excel, Teams, and Outlook. Structured into seven modules, this training teaches users to craft effective prompts for generating presentations, drafting documents, analyzing datasets, optimizing meetings, and managing emails. It emphasizes ​​responsible AI principles​​ while exploring ​​Copilot Chat​​ for web- and work-grounded data integration. Hands-on exercises simulate real-world scenarios, such as building sales reports in Excel or streamlining Teams meetings, making it ideal for those aiming to boost productivity through ethical AI adoption.

"Discover Microsoft AI for Leaders in Manufacturing" is a ​​3-hour 21-minute strategic training program​​ tailored for C-suite executives, operations directors, and innovation managers in the manufacturing sector. This five-module course equips leaders with actionable frameworks to integrate AI into organizational workflows while addressing ethical, technical, and cultural challenges. It combines foundational AI concepts (e.g., Azure Machine Learning, Power Platform) with industry-specific use cases like predictive maintenance and supply chain optimization. Participants will explore Microsoft's responsible AI governance models, learn from Siemens' Azure AI implementation success, and develop strategies to scale AI adoption across factory floors and executive decision-making processes.