Zero to Azure 2025 cover image

Zero to Azure 2025

Zero to Azure are a set of learning events built to upskill Power Platform Functional Consultants, Citizen Developers, and Administrators who are adept in the Power Platform, but are finding a knowledge gap in Azure, Copilot Studio, and AI concepts. By the end of the summer series, along with their own independent study, users should feel prepared to take the AI-900 exam and to use Copilot Studio in tandem with their Dataverse environments.

Beginner friendly space for Functional Consultants, Citizen Developers, Admins, and the Cloud Curious to upskill in Azure and AI concepts. We'll host live meetings and share recordings after the event for those who cannot attend live.

COURSE INSTRUCTOR

Tiffany Duppong

Tiffany Duppong

Tiffany Duppong is a California-based Dynamics 365 and Power Platform Solution Architect serving clients nationwide. With almost a decade of experience she blends strategic insight with hands-on expertise to design powerful, user-focused solutions.


Course Module Details

What the Heck Is Azure? June 13, 2025 (3 Hours)

Azure can feel intimidating at first glance—buzzwords, acronyms, a galaxy of services—but it doesn’t have to be. This session is designed for anyone who's curious about what Azure actually is and how it can help solve real-world problems. We’ll walk through what Azure offers, when it makes sense to use it, and how to get started without needing a background in cloud architecture. You’ll leave with a clearer understanding of how Azure supports projects of all shapes and sizes—and how it can scale with you as your needs evolve. Whether you're a technologist, business user, or just cloud-curious, this session will give you a confident starting point.

  • What the Heck Is Azure?

    A Friendly Guide to Getting Started (and Growing Up)

Low- Code ML with Azure ML June 20 2025 (3 Hours)

If you want to build a machine learning model but don't know where to begin, this talk is for you. In this talk, we will take a look at Azure Machine Learning. We will gain an understanding of how to create an Azure ML workspace and step through the process of training, testing, and deploying a model, starting from data importation and ending when we have built a model which our applications can access. We will focus on Azure ML's Automated Machine Learning capabilities, which uses your data and a few key decisions to build out a model in just a few clicks. After that, we will look at the Azure ML designer, which provides a drag-and-drop interface for model development. This talk assumes no familiarity with Azure Machine Learning or languages like R or Python.

  • Low code ML with Azure ML

    If you want to build a machine learning model but don't know where to begin, this talk is for you.