It was a
placer to share some amazing time with the Metro Toronto .Net User Group. Last
night was also a special one, we hosted the event at the amazing @MarsDD it was
great to have a huge group interested in Artificial Intelligence.
it’s time to share the resources of the event
The Global AI Night is a free evening event organized by 93 communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure. During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.
Creating applications that can see, hear, speak, understand and even read !
using Microsoft Cognitive Services. In this workshop you will be introduced to the Microsoft Azure Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that are accessed by REST protocol. We will also feature one of the most recent and powerful Services: Form Recognizer. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to documents. Wrapping the workshop up by building our custom trained AI into an application
Introduction to ML.Net and AutoML
ML.Net is an open-source and cross-platform machine learning framework for .NET developers. Using ML.Net , developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Recommendation, Image Classification and more. AutoML (Automated Machine Learning) is a collection of new technologies from Microsoft to enhance the data science development process. In this workshop you will be introduced to the core features and scenarios of ML.Net and also to the preview feature of Model Builder for AutoML.
During August, I’ll be participating and supporting a couple of hackathons and work events (check my next events section!).
happy to share that on September 5th I’ll part of the Global AI
Night in Toronto.
The Global AI Night is a free evening event organized by 88 communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure. During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.
The Insider Dev Tour is for developers
interested in building Microsoft 365 experiences (Windows, Graph,
Office, Teams) today, using the latest dev technologies, as well as for
those who want a peek into the future. If you can read code, this is for
you, regardless if you are a beginner, an expert, a student, or a
The morning keynote
session will give you a demo and code-focused overview of the new
developer technology emerging from Redmond. It’s the best of Microsoft
Build for Microsoft 365 developers. We’ll cover Windows, Graph, Office,
AI, and more so that you are up-to-date and able to make informed
decisions when choosing from the latest technology for your next
This is a 100 percent developer-focused event.
tour is an opportunity to connect directly with leads and engineers
from Redmond, as well as regional industry leaders and the community of
Microsoft MVPs and RDs. We’re excited to meet you in person!
I’m very lucky to be at the next Chicago CodeCamp with another session around Custom Vision:
How a PoC at home can scale to Enterprise Level using Custom Vision APIs
It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the core component used to analyze pictures to detect people, animals and more in a house environment. The AI processing is performed at the edge, in dedicated hardware and the collected information is stored in the cloud. The same idea can be applied to several CCTV scenarios, like parking lots, train stations, malls and more. However, moving this into enterprise scale brings a set of challenges, which are going to be described and explained in this session.
Después de una noche genial con los amigos de Metro Toronto UG, llega el momento de compartir los materiales que utilice durante la sesión. La idea inicial era hablar un poco de Azure Notebooks, y de alguna manera terminamos hablando también de Cognitive Services y Custom Vision, fue genial!
Para comenzar, los 15 min con el video de la Keynote:
Y algunos de los links que utilicé durante la sesión