Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure
1h 6mBeginner2022-07-21
Authors
Emilio Melo
Cloud solutions architect with 20+ years of IT experience
Course details
AI and machine learning are no longer a distant dream. All over the world, companies are turning to cloud technologies such as Azure to automate mission-critical workflows. In this course, instructor Emilio Melo walks through the most important skills and principles of machine learning on Azure to prepare you for the second domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam. Learn how to create and optimize models on Azure ML, increase model prediction performance with AutoML, and manage, deploy, use, and monitor your models, tweaking and redefining them as you go. If you’re interested in being vetted by a market leader in one of the hottest subfields of IT, this course can help you get ready for the exam and launch the next big phase of your career.
Skills covered
Machine LearningArtificial Intelligence FoundationsAzureNetwork AdministrationCloud PlatformsCert PrepArtificial Intelligence (AI)Network and System AdministrationCloud ComputingMicrosoft
Concepts
0. Introduction
- 01 - Getting started with the AI-900 Machine Learning exam
- 02 - Overview of the Azure Fundamentals certification
1. Principles of Machine Learning
- 03 - What is machine learning
- 04 - Practice - Types of machine learning
- 05 - Machine learning services in Azure
- 06 - Creating an Azure ML resource
2. Creating an Experiment in Azure ML
- 07 - Machine learning definitions
- 08 - The machine learning process - Data steps
- 09 - The machine learning process - Model steps
- 10 - Creating an Azure ML model
- 11 - Model evaluation metrics
- 12 - Performing model evaluation
3. Azure AutoML
- 13 - Overview of the Azure AutoML
- 14 - Using Azure AutoML
Conclusion
- 15 - Azure ML - Additional resources