BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SacITCentral - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://sacitcentral.com
X-WR-CALDESC:Events for SacITCentral
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251002T190000
DTEND;TZID=America/Los_Angeles:20251002T210000
DTSTAMP:20260502T194944
CREATED:20250829T194739Z
LAST-MODIFIED:20250829T194745Z
UID:73229-1759431600-1759438800@sacitcentral.com
SUMMARY:Monthly Python Usergroup Zoom Meeting
DESCRIPTION:***Please Use Source Link Below to Confirm Event Details***\nThe monthly meetup consists of online talks followed by time for socializing. Talks can range from technical to not-so-much and cover a variety of topics. When we have speakers committed\, their talk topic will be added to the meetup description. Thanks to the internet and the creativity of all involved parties\, this monthly forum for learning and discourse is whatever we choose to make it. Let’s get Pythonic about it\, shall we? Sponsors welcome. Shirts are coming SOON™! The approximate schedule is (all times Pacific): 7:00 – 7:10pm – Mingle while people login 7:10 – 7:15pm – Start Recording. Code Quiz. Introduction. Group Photo. 7:15pm and On – Guest Talks. Q&A. Maximum Zoom. Please share this event with your friends with any level of interest in Python! \nOriginal Event: Monthly Python Usergroup Zoom Meeting
URL:https://sacitcentral.com/event/monthly-python-usergroup-zoom-meeting-3/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://sacitcentral.com/wp-content/uploads/2025/08/event-73229-featured.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251007T100000
DTEND;TZID=America/Los_Angeles:20251007T110000
DTSTAMP:20260502T194944
CREATED:20250829T185055Z
LAST-MODIFIED:20250829T185104Z
UID:73215-1759831200-1759834800@sacitcentral.com
SUMMARY:Python + AI: Large Language Models
DESCRIPTION:***Please Use Source Link Below to Confirm Event Details***\nJoin 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. \nOriginal Event: Python + AI: Large Language Models
URL:https://sacitcentral.com/event/python-ai-large-language-models/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://sacitcentral.com/wp-content/uploads/2025/08/event-73215-featured.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T150000
DTEND;TZID=America/Los_Angeles:20251016T160000
DTSTAMP:20260502T194944
CREATED:20250829T184440Z
LAST-MODIFIED:20250829T184447Z
UID:73212-1760626800-1760630400@sacitcentral.com
SUMMARY:Python + AI: Calidad y seguridad
DESCRIPTION:***Please Use Source Link Below to Confirm Event Details***\nEn 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. \nOriginal Event: Python + AI: Calidad y seguridad
URL:https://sacitcentral.com/event/python-ai-calidad-y-seguridad/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://sacitcentral.com/wp-content/uploads/2025/08/event-73212-featured.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251023T100000
DTEND;TZID=America/Los_Angeles:20251023T110000
DTSTAMP:20260502T194944
CREATED:20250829T194815Z
LAST-MODIFIED:20250829T194821Z
UID:73232-1761213600-1761217200@sacitcentral.com
SUMMARY:Python + AI: Model Context Protocol
DESCRIPTION:***Please Use Source Link Below to Confirm Event Details***\nIn 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. \nOriginal Event: Python + AI: Model Context Protocol
URL:https://sacitcentral.com/event/python-ai-model-context-protocol/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://sacitcentral.com/wp-content/uploads/2025/08/event-73232-featured.jpg
END:VEVENT
END:VCALENDAR