4:30 AM - 5:30 AM (UTC)

Today, there are many Generative AI models to choose from: Large Language Models (LLMs), Small Language Models (SLMs), proprietary models, open models, models in the cloud, models on devices, text models, code models, image models, and multimodal models. In this session, we'll provide guidance to help you choose the right model to fit your needs, and tools you can use to evaluate and compare models for your specific tasks.

4:30 AM - 5:30 AM (UTC)

Learn how to build a production-ready Retrieval Augmented Generation (RAG) application to chat over your domain's data with Azure AI Search. Discover the benefits of hybrid search with semantic ranker to find both vector and keyword-based results amongst billions of documents. Explore different approaches to data ingestion, to extract, split, vectorize, and store your data in Azure AI Search. Consider multiple ways to evaluate your RAG app answers, to ensure high-quality responses. Finally, see how you can productionize your RAG app with efficient vector storage, private network deployment, and user authentication.

4:30 AM - 5:30 AM (UTC)

The Azure AI Agent Service allows you to build semi-autonomous software that can be given a goal and will work to achieve that goal without you knowing in advance exactly how it's going to do that or what steps it's going to take. This is a powerful tool for automating tasks and processes that are too complex to be easily automated with traditional software.

4:30 AM - 5:30 AM (UTC)

Explore how Azure AI Foundry seamlessly integrates with agents to create intelligent, responsive systems. We'll open up the session with Thermo Fisher who has created a multi-agent system to query across a vast store of disparate data. Marco and Mads will then walk you through the new Agent Service, offering practical examples and best practices for implementing AI agents in various business contexts.

4:30 AM - 5:30 AM (UTC)

Deploying AI-enabled applications involves an application or microservice interacting with a LLM inferencing endpoint. Microservices architectures and a cloud native approach is ideal for hosting your intelligent apps. This session demonstrates how you can use Kubernetes and cloud-native tools to reduce operational overhead in building and running intelligent apps.

4:30 AM - 5:30 AM (UTC)

Learn cloud deployment with GitHub Copilot for Azure—your ultimate guide to streamlined cloud success. Begin by building a strong foundation to boost coding efficiency, then transition to effortless application deployment, leveraging Azure’s powerful scalability. Conclude with advanced troubleshooting techniques to ensure your applications are reliable and high performing. With Copilot as your trusted assistant, you’ll confidently create, deploy, and manage top-tier applications, enhancing your cloud expertise at every stage.

6:00 AM - 8:00 AM (UTC)

Flex your AI skills and beat the clock! The AI Genius Series has finished, and now’s your chance to put what you’ve learned into practice. What is the AI Genius Challenge? • It’s a virtual hackathon that gives you an intriguing scenario to solve – a global zero-day cyberattack. • You’ll face a scenario that asks you to put the AI, retrieval augmented generation and Copilot deployments you learned about in the AI Genius Series to the test in a hands-on, competitive environment. • Receive AI-powered insights, allowing you to refine, iterate and innovate with confidence. Who should attend • Data, AI, security and machine learning devs who want to upskill in cutting-edge AI and lead innovation in your organization. What to expect • Learn your way - Bridge the gap between theory and practice, so you can build expertise in cutting-edge tech. • Test your skills - Compete with your peers in this exercise that demands critical thinking and problem-solving under pressure. Allow 2 hours maximum for this challenge. • Expand your ideas - Receive AI-powered insights, allowing you to refine, iterate and innovate with confidence. • Prove your ability - Nail the challenge and snag a Microsoft AI Genius badge to endorse your new AI skillset. Missed a session? No problems, you can catch up here https://aka.ms/On-demandAIGeniusSeries