Building Scalable AI Agents: From Framework to Future

Subscribers:
115,000
Published on ● Video Link: https://www.youtube.com/watch?v=Uuor1o809NY



Duration: 0:00
0 views
1


This session presents an in-depth study of AI Agent development from personal experiences, featuring a walkthrough of a custom-built AI agent framework, various patterns for creating effective AI automations, dissecting the buzz word - "Agents", and then a walkthrough of a personal project - an AI agent which builds more AI agents. Finally, we'll discuss the future of AI Agents, how in the near future AI agents could replace traditional saas as we see it today, changing how businesses operate.\n\nThe session will focus on:\nUnderstanding how to build AI agents that work, from the basic building blocks to complete systems, and seeing where this technology is headed in the business world.\n\nAttendees will learn:\n•Insights into building robust AI agent frameworks\n•Key patterns and architectures in AI agent development\n•How AI agents are evolving to replace traditional SaaS solutions.\n\nLearn Modules:\nhttps://aka.ms/AIConcepts\nhttps://aka.ms/FundamentalsGenerative-AI\n\nSpeaker Bio: Sai Yashwanth is an AI research engineer at an early-stage startup (based out of London). He is also an author currently writing a book on AI agents with manning publications. He has experience building AI agents and working closely with early-stage AI startups like composio (summer intern), and vuhosi (current). Builds cool agents in his free time (Check out https://github.com/theyashwanthsai/Devyan)\n\nSocial Handles of the speaker:\nPersonal Website: saiyashwanth.tech\nTwitter: https://x.com/yashwanthsai29\nLinkedin: https://www.linkedin.com/in/saiyashwanth29/\n\nPre-requisites:\nBasic understanding of AI Agents and RAG




Other Videos By Microsoft Reactor


2025-01-02Azure AI Foundry Modelando el Futuro de la IA de Manera Segura, Responsable y Confiable
2025-01-02CV de Impacto: Proyecta tu Potencial y RECONECTA Profesionalmente
2025-01-01MicrosoftForStartups Founders Hub: cadastre sua ideia/startup (register your idea/startup) It's free
2024-12-31AI 态势下的企业信息安全运维新思路 | Post Microsoft Ignite in Beijing [4]
2024-12-31用 Microsoft Olive 构建基于 ONNX 的 SLM 解决方案 |Post Microsoft Ignite in Beijing [2]
2024-12-31云端的 Java:用 Azure 转换开发 | Post Microsoft Ignite in Beijing [3]
2024-12-31Microsoft Ignite 2024 更新回顾 | Post Microsoft Ignite in Beijing [1]
2024-12-30GitHub Copilot 那些重塑开发工具生态的新特性 | Post Microsoft Ignite in Beijing [5]
2024-12-30Smart, efficient, and well-architected IaC with Azure Verified Modules
2024-12-28Microsoft 365 para ELAS! Inscreva-se agora gratuitamente
2024-12-28Building Scalable AI Agents: From Framework to Future
2024-12-27Cree aplicaciones inteligentes con Azure Open AI
2024-12-273 dicas para o #GitHubCopilot: otimize suas tarefas diárias!
2024-12-24在 Microsoft Fabric 中升级至 Data Factory 的路径
2024-12-24Microsoft Fabric - 数据库镜像 - 新功能及未来路线图
2024-12-24Microsoft Fabric Data Factory 新增功能和路线图
2024-12-23Let‘s Learn .NET Aspire - .NET Aspire 入门
2024-12-23Copilot for Power BI 助你数据分析新高度 | Global Season of AI - 渐入佳境的生成式 AI [03]
2024-12-23如何在 Azure App Service 上集成 Phi 3 小语言模型 | Global Season of AI - 渐入佳境的生成式 AI [05]
2024-12-23Let‘s Learn .NET Aspire - .NET Aspire 结合 Phi-3 构建 Chat 应用
2024-12-23Phi 3 模型入门:硬件平台、运行环境和性能比较 | Global Season of AI - 渐入佳境的生成式 AI [04]