AI Genius - AI Skilling series for Developers

vinayakh

Microsoft

Jan 22, 2025

Don’t miss this exclusive opportunity to advance your AI skills and power up your productivity. The Microsoft AI Genius Series provides six on-demand hands-on workshops, demos and resources to help you get up and running with cutting-edge AI tech and tools. Presented by top Microsoft experts, you’ll go on a step-by-step learning journey on how to develop and deploy next generation AI apps and services. 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 A six-part progressive course with new AI topics released every week. Complete all six topics or just those you want to focus on.

We are conducting a six-part AI Skilling series called AI Genius starting January 28th 2025 to kickstart your AI learning journey from beginner to advanced use cases. The series will feature experts from Microsoft talking about different aspects of using AI and building AI Applications. This is targeted towards developers who are looking to upskill their AI capabilities in the latest AI technologies such as SLMs, RAG and AI agents.

Who should attend

Data, AI, security and machine learning developers who want to upskill in cutting-edge AI and lead innovation in your organization.
Developers who are new and dabbling in AI and want to upskill themselves to the next level and learn new foundational AI concepts in hands-on workshops.

What to expect

A six-part progressive course with new AI topics released every week. Complete all six topics or just those you want to focus on.
Each kicks off with a briefing from Microsoft Vinayak Hegde and Priyanka Vergadia.
Follow the project for hands-on practice.
Receive a badge for your LinkedIn for each topic you complete.
Gain access to Freemium GitHub tech and tools and a developer community.

Our comprehensive series provides a step-by-step progression of AI topics that take you from whoa to AI pro. We strongly recommend completing all of them.

Sign up
Register for the complete series at AI Genius Series

You can also sign up for the individual modules below. An overview of the different modules follows:

Explore cutting-edge models: LLMs, SLMs and more - 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.
Production-ready RAG with Azure AI Search - 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.
Getting started with AI Agents - 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.
Building Intelligent Multi-Agent Systems - Explore how Azure AI Foundry seamlessly integrates with agents to create intelligent, responsive systems. We will walk you through the new Agent Service, offering practical examples and best practices for implementing AI agents in various business contexts.
Leverage cloud native infra for intelligent apps - 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.
Getting Started with Copilot for Azure to Deploy to the Cloud - 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.