Mastering Azure ML Servers to Build ChatGPT in Microsoft Azure


Course Overview

AI is all around us, and it is no longer just the work of scientists. In the Developing AI Models in Microsoft Azure course, you will learn the ins and outs of Azure Machine Learning Service.


Key Learning Areas

  • Introduction to Artificial Intelligence
  • Approaching AI, ML Studio, and ML Service
  • Azure Computer Resources for Modeling Training
  • Azure Storage
  • Setting up your Dev Environment
  • Training your Model
  • Deploying your Model

Course Outline

Introduction to AI

  • Intro to Deep Learning and ML
  • Intro to Generative AI
  • Common AI tools
  • Custom AI

Approaching AI, ML Studio, and Machine Learning Service

  • Intro to Azure ML Studio
  • Intro to Azure compute and storage services
  • Intro Auto ML

Azure Computer Resources for Modeling Training 

  • Azure IAAS
  • Azure Databricks
  • Azure Synapses
  • Azure HD

Azure Storage

  • Datalake
  • Databases

Setting up Your Dev Environment

  • Setting up training compute
  • Setting up model development notebooks

Training Your Model

  • By SDK
  • By Auto ML
  • Testing model

Deploying Your Model

  • Deploy from Azure Machine Learning studio and no code
  • Deploy manually from the studio or command line

Who Benefits



Familiarity with Microsoft Azure

Want this course for your team?

Atmosera can provide this course virtually or on-site. Please reach out to discuss your requirements.