talk-data.com

Microsoft Copilot Agents are quickly becoming a core part of modern enterprise applications, blending AI with workflow automation to accelerate digital transformation. With Microsoft Copilot Studio, developers and solution architects can design, extend, and integrate custom AI-powered assistants that operate securely within the Microsoft ecosystem. This session takes a deep dive into the technical capabilities of Copilot Studio and demonstrates how to build Copilot agents that go far beyond simple Q&A. We’ll cover end-to-end development patterns authoring conversational logic, integrating with Power Platform connectors, calling APIs and plugins, and leveraging Dataverse for secure data access. Attendees will also learn how to apply responsible AI principles, manage lifecycle deployment, and optimize performance in real-world scenarios. Technical Takeaways: By the end of this session, attendees will be able to: 1. Author and Customize Copilot Agents – Build a Copilot agent from scratch in Copilot Studio, design conversation flows, and implement prompt engineering patterns. 2. Integrate with Power Platform – Automate approvals, orchestrate workflows, and trigger Power Automate flows directly from Copilot interactions. 3. Connect to Data Sources – Use Dataverse, SharePoint, SQL, and external APIs to fetch, update, and process business-critical data securely. 4. Extend Functionality – Implement custom connectors, plugins, and API calls to extend Copilot beyond Microsoft 365 and tailor it for industry-specific use cases. 5. Enhance Productivity with AI – Embed capabilities like document summarization, knowledge mining, translation, and report generation into enterprise workflows. 6. Manage Governance and Deployment – Apply AI ethics, responsible usage, security, and monitoring practices to ensure compliance and scalable adoption. This session is designed for developers, solution architects, and IT professionals who want to move past demos and actually build enterprise-grade Copilot agents. Through real-world use cases and technical walkthroughs, attendees will leave with a blueprint for integrating Copilot Studio into modern business solutions.

Live demos and best practices session showcasing capabilities related to Data Agents, Copilot Studio, and associated data workflows.

A session exploring how Microsoft Copilot Studio enables Data Agents to automate analytics tasks and deliver real-time insights using Microsoft Fabric and Copilot Studio within data workflows.

2 Days Hands-On Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp Date: 29-30 May 2025, 9 AM to 5 PM Central Time Level: Beginners/Intermediate Registration Link: https://www.eventbrite.com/e/hands-on-azure-ai-foundry-and-copilot-studio-bootcamp-tickets-1267311596099?aff=oddtdtcreator Who Should Attend? This hands-on workshop is open to developers, senior software engineers, IT pros, architects, IT managers, citizen developers, technology product managers, IT leaders, enterprise architects, chief analytics officers, chief information officers, chief technology officers, and decision-makers interested in learning how AI Agents and Generative AI can help infuse artificial intelligence into next-generation apps and agents. Experience with C#, Python, or JavaScript is helpful but not required. You don't need prior knowledge of AI either. Although this isn't a data & analytics-focused workshop, data scientists, data stewards, and technically-minded data protection officers will also find it very valuable Description: With ChatGPT and other large language models, generative AI has captured the attention of global consumers, enterprises, and C-suite executives. AI has a significant role in the enterprise space and is evolving rapidly. Without understanding the concepts behind these advanced technologies, developers and administrators might find it challenging to assess the true impact of emerging tools and solutions. An AI agent is a powerful companion capable of managing a variety of interactions and tasks—from handling complex conversations to autonomously deciding the best actions based on instructions and context. Agents coordinate language models along with instructions, context, knowledge sources, topics, actions, inputs, and triggers to achieve your desired outcomes. Copilot Studio is a graphical, low-code tool designed for creating agents, including building automations with Power Automate and extending Microsoft 365 Copilot with your own enterprise data and scenarios. One standout feature of Copilot Studio is its ability to connect to other data sources through either prebuilt or custom plugins, as well as integration with Azure AI Foundry. This flexibility allows users to easily build sophisticated logic, ensuring that agent experiences are both powerful and intuitive. Azure AI Foundry is a unified AI platform that includes the Azure AI Foundry portal (formerly Azure AI Studio) and the Azure AI Foundry SDK—a unified SDK featuring pre-built app templates. This SDK gives developers easy access to popular models through a single interface, simplifies the integration of Azure AI into applications, and helps evaluate, debug, and improve application quality and safety throughout development, testing, and production. In this two-day virtual hands-on workshop, Microsoft AI and Business Applications MVP and Microsoft Certified Trainer, Prashant G Bhoyar, will cover these topics in detail:

1. What are multimodal GenAI applications?
2. What are AI agents?
3. What are autonomous agents?
4. What are custom Copilots?
5. Introduction to Copilot Studio: Learn to create agents, build automations with Power Automate, and extend Microsoft 365 Copilot using enterprise data. Discover how to use prebuilt and custom plugins alongside Azure AI Foundry for powerful, intuitive agent experiences.
6. Azure AI Foundry: An in-depth overview of Azure AI Foundry.
7. Azure OpenAI Services: Explore these services, their architecture, and their role in the broader AI ecosystem.
8. Using models from DeepSeek, Llama, Hugging Face, and other open-source models via Azure AI Foundry.
9. Prompt engineering: An in-depth look at creating effective prompts, understanding their importance, and the factors influencing their performance.
10. Use cases and common architectures: Hands-on labs demonstrating real-world implementations.
11. How to evaluate use cases and determine ROI.
12. Azure OpenAI Service embedding models.
13. Customizing Azure OpenAI Services: Configuration to deployment tailored to specific business needs.
14. Deep dive into Azure OpenAI Services: A detailed look at popular models like o1, GPT, Ada, and DALL-E, discussing their unique features and ideal use cases.
15. Using Azure OpenAI Service to access company data.
16. Azure AI Services overview: Language, Speech, and Vision services and their real-world applications.
17. Conversational AI: Design, train, and refine AI capable of human-like interactions.
18. Azure AI Search: Creating advanced search experiences.
19. Document Intelligence Service: Extracting key-value pairs and table data from documents using machine learning.
20. Azure AI Agent Service: Feature-rich managed capabilities combining models, data, tools, and services for automating complex business processes.
21. Semantic Kernel: An open-source SDK for combining AI services (OpenAI, Azure OpenAI, Hugging Face) with programming languages like C# and Python to create advanced AI applications.
22. Model Context Protocol ( MCP )
23. Responsible AI: Ethics and responsible practices in AI use.
24. Enterprise-level applications, Custom Copilots, and AI agents: Learn to develop scalable, multimodal applications using Copilot Studio and Azure AI Foundry, emphasizing industry requirements and best practices.

By the end of the workshop, you'll have practical experience building next-generation multimodal applications, Custom Copilots, and AI Agents using Copilot Studio and Azure AI Foundry. Workshop Resources: Access to Copilot Studio, Azure, and Azure OpenAI services (valued at USD 500) will be provided for hands-on labs, allowing you to build enterprise-grade multimodal applications and agents. However, you're encouraged to use your own Copilot Studio and Azure subscriptions if available. Attendee Workstation Requirements: You must bring your own computer (Windows or Mac) with:

• Camera, speakers, microphone, and a reliable internet connection. Tablets will not work for this workshop.
• A modern browser (Microsoft Edge, Google Chrome, Firefox, or Safari).
• Access to www.azure.com and https://copilotstudio.microsoft.com.
• Nice to have is the ability to run C# 10 or Python code, using Visual Studio 2022, VSCode 1.66+, Visual Studio for Mac, Rider, or similar IDE.