12:00 오후 - 1:00 오후 (UTC)

This project aims to integrate the Petoi robot dog with the Azure Inference API. The robot dog, used in STEM projects, has four legs and eight joints, all of which can move independently. The objective of this project is to enable communication with the robot dog in human language and to utilize the API to comprehend commands. A script written in Python allows the user to speak a sentence to the robot dog, which then understands and executes the corresponding command. For example, when the user says, "Hey buddy, the weather is so good and I want to walk," the robot executes the "kwkF" command to start walking. The project currently uses Azure text-to-speech and Azure Inference API. Additionally, this project is a RAG project, meaning it involves Retrieval-Augmented Generation techniques to enhance the robot's capabilities.

12:00 오후 - 1:00 오후 (UTC)

Join us to see how GenAI can transform HR operations and boost efficiency in your workplace! In this session you'll discover how to harness the power of Generative AI to build your own intelligent HR companion bot using Azure AI Studio, seamlessly integrated with Microsoft Teams. Nicole will guide you through the process of creating a conversational AI that can handle HR-related tasks like answering employee questions and automating routine workflows. You’ll explore how OpenAI GPT4 model with natural language capabilities enable your bot to understand and respond effectively, while its integration with Teams enhances collaboration across your organization.

12:00 오후 - 1:00 오후 (UTC)

In this session, I will break down the key concepts behind Agentic AI and explore how Semantic Kernel enables AI systems to handle complex Agentic workflows. Through engaging demos and code walkthroughs, you'll gain practical insights into how these AI agents work, what’s achievable today, and where the current boundaries lie. By the end, you’ll have a solid understanding of how to implement Agentic AI workflows in your projects, along with a clear view of the current potential and limitations of the Semantic Kernel SDK.