
Foteini Savvidou
Electrical and Computer Engineering student, Microsoft MVP
Thessaloníki, Greece
Foteini Savvidou is a final-year Electrical and Computer Engineering student at the Aristotle University of Thessaloniki (Greece). She is interested in IoT, AI, cloud technologies, and biomedical engineering. Foteini has been awarded as a Microsoft Most Valuable Professional (MVP) in AI and is actively involved in the Microsoft Learn Student Ambassadors community. She constantly shares her knowledge on Microsoft Azure technologies, speaks at conferences and user groups, and runs a technical blog at sfoteini.github.io.
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Create no-code ML Models with Azure Machine Learning and Microsoft Learn
Learn how to build a no-code regression model with Azure Machine Learning Designer and Microsoft Learn! Regression is a supervised machine learning technique used to predict numeric values. In this session, you will learn how to train a regression model that predicts the price of an automobile based on its characteristics, evaluate, and publish the model with Azure Machine Learning Designer.
Student Ambassadors take over Global Azure Live!
We welcome the Microsoft Student Ambassadors to the LearnTV studio for a Live! chat and some fun!
Computer vision made easy with Azure Custom Vision
Learn how to build a no-code image classification model with the Azure Custom Vision service! Azure Custom Vision is an Azure Cognitive Services service that lets you build and deploy your own image classification and object detection models. In this session, you will learn how to use the pre-trained machine learning models in Azure Custom Vision service, build and deploy your own computer vision model that will identify species of birds.
Build an AI-powered “green” app with Azure Custom Vision
Azure Custom Vision is an Azure Cognitive Services service that lets you build and deploy your own image classification and object detection models. In this session, we will explain the concept of AI and custom vision and build an image classification model for agriculture with the Azure Custom Vision service. We will then deploy and consume the model in a Python app and discuss the available options for exporting the Custom Vision model to run offline.
Azure SQL Database – Use Python to manipulate data
Find out how to use Azure SQL Database and Python to store and retrieve information. In this session, you will learn how to create an Azure SQL database via the Azure portal and use Python to connect to the database, create tables, and manipulate data.

Foteini Savvidou
Electrical and Computer Engineering student, Microsoft MVP
Thessaloníki, Greece