AI
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***Please Use Source Link Below to Confirm Event Details*** Agentic AI isn't just a buzzword; it's a fundamental shift in software. These intelligent, goal-driven applications operate autonomously, presenting unprecedented challenges for infrastructure teams. The old ways of building and running apps simply won't scale. Join us for this technical deep dive where we'll explore how to harness the power of Kubernetes and modern platform engineering principles to create a scalable, resilient, and observable foundation for your next-generation intelligent applications. In this webinar, you'll learn: The Shift: Understand why agentic apps require a new approach to infrastructure. Kubernetes as the Orchestration Layer: See how core Kubernetes primitives can be used to manage the complete, often complex, lifecycle of AI agents. The Power of a Platform Mindset: Discover how building an internal platform streamlines workflows, ensures security, and empowers developers to build and deploy intelligent software faster than ever. By the end of this session, you'll have a clear, actionable roadmap for transforming your infrastructure into a powerful 'Agent Fabric' capable of supporting the future of AI. After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance. A webinar recording and related materials will be shared with all attendees after the event. Original Event: Building and running agentic AI platforms on Kubernetes
Free
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***Please Use Source Link Below to Confirm Event Details*** Join us for the first session in our Python + AI series! In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs. We'll also show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps. Original Event: Python + AI: Large Language Models
Free
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***Please Use Source Link Below to Confirm Event Details*** En nuestra sexta sesión de la serie Python + IA, hablaremos de un tema crucial: cómo usar la IA de manera segura y cómo evaluar la calidad de las salidas de IA. Hay múltiples capas de mitigación cuando se trabaja con LLMs: el modelo en sí, un sistema de seguridad superpuesto, el prompt y contexto, y la experiencia de usuario de la aplicación. Nuestro enfoque será en las herramientas de Azure que facilitan poner sistemas de IA seguros en producción. Mostraremos cómo configurar el sistema Azure AI Content Safety cuando se trabaja con modelos de Azure AI, y cómo manejar esos errores en código Python. Luego usaremos el SDK de Evaluación de Azure AI para evaluar la seguridad y calidad de la salida de Nuestro LLM. Original Event: Python + AI: Calidad y seguridad
Free
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***Please Use Source Link Below to Confirm Event Details*** In the final session of our Python + AI series, we're diving into the hottest technology of 2025: MCP, Model Context Protocol. This open protocol makes it easy to extend AI agents and chatbots with custom functionality, to make them more powerful and flexible. We'll show how to use the official Python FastMCP SDK to build an MCP server running locally and consume that server from chatbots like GitHub Copilot. Then we'll build our own MCP client to consume the server. Finally, we'll discover how easy it is to point popular AI agent frameworks like Langgraph, Pydantic AI, and Semantic Kernel at MCP servers. With great power comes great responsibility, so we will briefly discuss the many security risks that come with MCP, both as a user and developer. Original Event: Python + AI: Model Context Protocol
Free
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