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.

Join us at the Capgemini Holborn Office February 7th for an evening of talks, food, and conversation with ML and AI industry pros.

Agenda

06:30pm - Doors open, food and drink served

07:00pm - Welcome

07:15pm - Henry Musto, PhD candidate at Goldsmiths University of London, "Artificial Intelligence in Alzheimer's modelling - Challenges and missteps"

07:55pm - Break

8:10pm - Jackson Gabbard, Cord "Why are embedding vectors so absurdly useful?"

8:50pm - Ruby Stoddart, Datasparq "Scalable Optimisation of a Dynamic Pricing Model"

09:00pm - Wrap up, drinks at The Sir Christopher Hatton

Our hosts require that we provide a list of all attendees, please ensure that you register with a name that matches your government issued ID or bank card: if you do not we cannot guarantee you entry to the building.

Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available.

Join us at J Sainsbury PLC on Wednesday 13th September for an evening of talks, food, and conversation with ML and AI industry pros.

Building security require that we provide a list of all attendees, please ensure that you use your real name on your Meetup account otherwise you may be unable sign in at the JS Sainsbury's Holborn office.

If you can't join us in person you can watch remotely via Google Meet or alternatively watch the recording on our YouTube channel (typically available within 48hrs of the event).

Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available.

Agenda

06:30pm - Doors open, food and drink served

07:00pm - Welcome

07:05pm - Caspar Chater, Kew "Forest-Risk Commodity Traceability using AI"

07:45pm - Break

08:00pm - Daniel Hulme, Chief AI Officer at WPP "Rethinking AI and it's impact on Business and Society."

08:40pm - Daisy Riley, AWS "The Impact of Generative AI on Retail"

09:00pm - Wrap up

This event will be broadcast live via Google Meet, more details below

Artificial Intelligence and Deep Learning for Enterprise #8 @ J Sainsbury PLC

Wednesday, 13 September · 7:00 – 9:00pm

Time zone: Europe/London

Google Meet joining info

Video call link: meet.google.com/uuy-sofy-wer

In this podcast, @JohnNives discusses ways to demystify AI for the enterprise. He shares his perspective on how businesses should engage with AI and what are some of the best practices and considerations for businesses to adopt AI in their strategic roadmap. This podcast is great for anyone seeking to learn about the way to adopt AI in the enterprise landscape.

Timelines: 0:28 John's journey. 6:50 John's current role. 9:40 The role of a chief digital officer. 11:16 The current trend of AI. 13:52 AI hype or real? 16:42 Why AI now? 19:03 Demystifying deep learning. 23:35 Enterprise use cases of AI. 28:25 Attributes of a successful AI project. 32:20 Best AI investments in an enterprise. 36:56 Convincing leadership to adopt AI. 39:20 Organizational implications of adopting AI. 43:45 What do executives get wrong about AI? 48:36 Tips for executives to understand the AI landscape. 53:11 John's favorite reads. 57:35 Closing remarks.

John's Recommended Listen: FutureOfData Podcast math.im/itunes War and Peace Leo Tolstoy (Author),‎ Frederick Davidson (Narrator),‎ Inc. Blackstone Audio (Publisher) amzn.to/2w7ObkI

Podcast Link: https://futureofdata.org/johnnives-on-ways-to-demystify-ai-for-enterprise/

Jean's BIO: Jean-Louis (John) Nives serves as Chief Digital Officer and the Global Chair of the Digital Transformation practice at N2Growth. Prior to joining N2Growth, Mr. Nives was at IBM Global Business Services, within the Watson and Analytics Center of Competence. There he worked on Cognitive Digital Transformation projects related to Watson, Big Data, Analytics, Social Business and Marketing/Advertising Technology. Examples include CognitiveTV and the application of external unstructured data (social, weather, etc.) for business transformation. Prior relevant experience includes executive leadership positions at Nielsen, IRI, Kraft and two successful advertising technology acquisitions (Appnexus and SintecMedia). In this capacity, Jean-Louis combined information, analytics and technology to created significant business value in transformative ways. Jean-Louis earned a Bachelor’s Degree in Industrial Engineering from University at Buffalo and an MBA in Finance and Computer Science from Pace University. He is married with four children and lives in the New York City area.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy