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#.