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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.

4-Day Hands-on Workshop: Building Multimodal Applications, Custom Copilots, and AI Agents using GenAI (Azure OpenAI and ChatGPT) October 22-25, 2024 9:00AM – 5:00PM (Central)

Registration Link : https://live360events.com/events/training-seminars/2024/oct22/home.aspx

With ChatGPT, other large language models and generative AI have caught the attention of global consumers, enterprises, and C-suites. AI has a big role to play in the enterprise space and it is progressing rapidly. Without understanding the concepts behind these advanced technologies, developers and administrators will struggle to evaluate the potential impact of new tools and solutions. A multimodal GenAI application seamlessly generates high-quality content across text, images, video, and audio, all at once. Such applications would more accurately capture the multimodal nature of the world and human comprehension, seamlessly consolidate information from a wide range of sources, and enable strong immersion in human-AI interactions. This could transform the way humans interact with computers on various tasks, including assistive technology, custom learning tools, ambient computing, and content generation. Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, GPT-4, Codex and Embeddings model series and DALL-E. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio. In this 4-day virtual hands-on workshop, Microsoft AI and Business Applications MVP and Microsoft Certified Trainer Prashant G Bhoyar will cover the following topics in detail:

• What are Multimodal GenAI Applications?
• What are AI Agents?
• What are Custom Copilots?
• Azure OpenAI Services: We will explore what these services are, their architecture, and their place within the broader AI ecosystem.
• Azure AI Studio: An in-depth overview of the Azure AI Studio.
• Prompt Engineering: An in-depth look at this critical aspect of large language model usage. We will cover how prompts work, why they are important, and the factors that influence their effectiveness.
• Use Case and Common Architecture: Hands-on labs covering the use case and common architecture of the implementation
• Azure OpenAI Service Embedding Models
• Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds.
• Microsoft Copilot Studio lets you create powerful AI-powered copilots for a range of requests—from providing simple answers to common questions to resolving issues requiring complex conversations. Engage with customers and employees in multiple languages across websites, mobile apps, Facebook, Microsoft Teams, or any channel supported by the Azure Bot Framework.
• Customizing Azure OpenAI Services: From configuration to deployment, we'll show you how to tailor these services to suit a range of specific needs.
• Deep dive into Azure OpenAI Services: We'll specifically focus on several of the models like GPT, Ada, and DALL-E, discussing their unique features and optimal use cases.
• Using Azure OpenAI Service to access company data
• Azure AI Services Overview
• Azure AI Search
• Document Intelligence Service
• A thorough examination of the AutoGen Framework and its capabilities.
• Responsible AI: Delve into the ethics and responsible use of AI.
• How to evaluate a use case and find the ROI?
• Enterprise-Level Applications, Custom Copilots, AI Agents: Learn to develop robust, scalable multimodal applications, Custom Copilots, and AI Agents using C#, Python and also using low code no code tools like Azure Logic Apps, and Microsoft Power Platform, focusing on industry requirements and best practices.

At the end of the workshop, attendees will have a working knowledge of how to build next-gen multimodal applications, Custom Copilots, and AI Agents with Azure OpenAI and Azure AI services. Access to Azure and Azure OpenAI services will be provided to follow the labs and create enterprise-grade multimodal applications. The labs will be a mixture of Python and C#.