Daniel Colon
Cloud Solution Architect, Meetup Organizer
📋 Biography
Daniel Colón has expertise in cloud, infrastructure, and systems integration obtained through 20 plus years of working as a manager, architect and developer on mission critical back-end systems that have included various cloud platforms. He has taught various courses at Northeastern University including ASP.NET, C#, and XML Web Services. He has certifications including A+, Security+, Azure Solutions Architect Expert, AWS Solutions Architect Professional, and a GCP Professional Cloud Architect.
✨ High-Impact Contributions 1
Azure Machine Learning (Azure ML) is a powerful platform for building, training, and deploying machine learning models in the cloud. In this session, we’ll take a practical, beginner‑friendly tour of the core concepts you need to get started. This is a brief overview, designed to help you understand what Azure ML offers and how you can begin using it in your own projects. You’ll get an introduction to: What Azure Machine Learning is, The Azure ML workspace and the basic tools available (Studio, SDK, CLI), How compute, data, and models are organized in Azure ML, The general workflow for training and deploying a model, and Key concepts to help you explore further on your own. This session is meant to give you a solid foundation — not to cover every feature — so you leave with clarity, confidence, and a clear path for continued learning. New to machine learning? See how to make your first step with Azure ML Studio.