This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series
What is this session about?
In this session, we will explore how to build and deploy a predictive model using Azure Copilot and Codespaces. We will cover the key steps involved in the model development process, such as data preparation, feature engineering, and model training.
Who is it aimed at?
The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems.
Why should members attend?
By the end of the session, you will have a better understanding of how to use these tools to streamline your machine learning workflow and improve your productivity.
Continue the learning journey: GitHub fundamentals - Administration basics and product features.
Speaker: Vlad Iliescu
By day I work at Strongbytes as Head of AI, and by night I’m building NRGI.ai – an upcoming B2B energy marketplace powered by a proprietary AI forecasting engine. The rest of the time I’m a Microsoft Most Valuable Professional on AI, play the ukulele with a vengeance, and occasionally blog about life, the universe and software development.