In Udacity’s Microsoft Azure Machine Learning Engineer Nanodegree Program, strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.
Overview of the Udacity’s Microsoft Azure Machine Learning Engineer Nanodegree Program
In Udacity’s Microsoft Azure Machine Learning Engineer Nanodegree Program, students will enhance their skills by building and deploying sophisticated machine learning solutions using popular open-source tools and frameworks, and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.
Udacity’s Microsoft Azure Machine Learning Engineer Nanodegree Program Syllabus
1. Using Azure Machine Learning
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.
2. Machine Learning Operations
This course covers a lot of the key concepts of operationalizing machine learning, from selecting the appropriate targets for deploying models, to enabling Application Insights, identifying problems in logs, and harnessing the power of Azure’s Pipelines. All these concepts are part of core DevOps pillars that will allow you to demonstrate solid skills for shipping machine learning models into production.
3. Capstone Project
The program capstone gives you the opportunity to use the knowledge you have obtained from this Nanodegree program to solve an interesting problem. You will have to use Azure’s Automated ML and HyperDrive to solve a task. Finally, you will have to deploy the model as a webservice and test the model endpoint.
Instructors of Udacity’s Microsoft Azure Machine Learning Engineer Nanodegree Program
Here is a list of instructors associated with the Udacity Nanodegree Program:
1. Noah Gift (Founder of Pragmatic AI Labs)
Noah Gift teaches and consults at top universities and companies globally, including Duke and Northwestern. His areas of expertise are Machine Learning, MLOps, A.I., Data Science, and Cloud Architecture. Noah has authored several bestselling books, including Python for DevOps.
2. Alfredo Deza (Instructor)
Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments.
3. Erick Galinkin (Principal AI Researcher | RAPID7)
Erick Galinkin is a hacker and scientist specializing in Applying Artificial Intelligence to Cybersecurity. He also conducts academic research on machine learning theory and the interplay between algorithmic game theory and information security.
4. Soham Chatterjee (Graduate student at the Nanyang Technological University)
Soham is an Intel® Software Innovator and a former Deep Learning Researcher at Saama Technologies. He is currently a Masters by Research student at NTU, Singapore. His research is on Edge Computing, IoT, and Neuromorphic Hardware.
Review: “Definitely worth enrolling in!”
After successfully completing the Nanodegree program, you will find that the program is very comprehensive and teaches you everything about Azure Machine Learning as promised by the program.
Plus, the certification is also really helpful since this Udacity Nanodegree Program is well-recognized amongst multiple industries.