Explore Automated Machine Learning in Azure Machine Learning
About this guide
Scenario
In this guide, you’ll use the Automated Machine Learning feature in Azure Machine Learning to train and evaluate a machine learning model. You’ll then deploy and test the trained model.
Tasks and Job Skills
- Create an Azure Machine Learning workspace
- Use automated machine learning to train a model
- Review the best model
- Deploy and test the model
- Test the deployed service
Career Connections
The Cloudguides in this series provide a foundational understanding of Azure AI services and are valuable to anyone interested in pursuing a career in AI or expanding their knowledge in this growing field.
The skills developed in this series can help opens doors to roles like entry-level AI Engineer, Data Scientist (with AI focus), Cloud Architect (with AI focus), and Business Analyst (with AI focus).
As of January 2025, AI-focused roles in the U.S. offer competitive salaries, with AI Engineers starting at around $108K and reaching $128K after five years, Data Scientists earning between $90K–$130K initially and $123K with experience, Cloud Solutions Architects starting at $110K and rising to $160K, Business Analysts beginning at $55K and reaching $131K, while IT professionals with AI interest typically start at $80K and can earn $100K–$150K or more depending on specialization and demand. Please note that these figures are approximate, derived from online sources, and can vary based on factors such as location, industry, and company size.
