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Overview

For data scientists and AI engineers interested in using Azure Machine Learning to create, train, and implement machine learning models, there is a course called DP-3007: Train and Deploy a Machine Learning Model with Azure Machine Learning. Participants will learn how to run training scripts as command jobs, track trials using MLflow, and manage data, computing resources, and environments inside Azure ML through hands-on exercises. By the time the course concludes, students will have the end-to-end knowledge and abilities required to effectively operationalize machine learning workflows in the cloud by deploying models to controlled online endpoints.

Make data available in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Work with environments in Azure Machine Learning
Run a training script as a command job in Azure Machine Learning
Track model training with MLflow in jobs
Register an MLflow model in Azure Machine Learning
Deploy a model to a managed online endpoint

Data Scientist
AI Engineer

Make data available in Azure Machine Learning

Access data by using Uniform Resource Identifiers (URIs)
Connect to cloud data sources with datastores
Use data asset to access specific files or folders
Lab: Make data available in Azure Machine Learning

Work with compute targets in Azure Machine Learning

Choose the appropriate compute target
Work with compute instances and clusters
Manage installed packages with environments
Lab: Work with compute resources

Work with environments in Azure Machine Learning

Understand environments in Azure Machine Learning
Explore and use curated environments
Create and use custom environments
Lab: Work with environments

Run a training script as a command job in Azure Machine Learning

Convert a notebook to a script
Test scripts in a terminal
Run a script as a command job
Use parameters in a command job
Lab: Run a training script as a command job

Track model training with MLflow in jobs

Use MLflow when you run a script as a job
Review metrics, parameters, artifacts, and models from a run
Lab: Use MLflow to track training jobs

Register an MLflow model in Azure Machine Learning

Log models with MLflow
Understand the MLmodel format
Register an MLflow model in Azure Machine Learning
Lab: Log and register models with MLflow

Deploy a model to a managed online endpoint

Use managed online endpoints
Deploy your MLflow model to a managed online endpoint
Deploy a custom model to a managed online endpoint
Test online endpoints
Lab: Deploy an MLflow model to an online endpoint

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Students	Feedback
Emanuel Paun United State	Mohammad was an amazing professor. I do not have a strong networking background and Mohammad was very patient in teaching me the basics in topics like wireless. The way he taught (hands on/labs) really helped solidify everything we learned through the 5 days of classes. I have nothing but positive feedback for the way he taught these course and his personality was amazing. 10/10 professor.
Shreyas Deshpande India	The training helped me connect dots and taught me a lot new concepts as well. The instructor is very knowledgeable in the subject and the demonstrations are very helpful for me to understand issues, and related solutions. I really appreciate and enjoyed the lectures and learning from instructor. Thank you very much!
Yeiner Carrillo United State	The BGP class was very interactive and pleasant, I personally liked the instructor's methodology. Thankyou
James Ferrell United State	Very cordial and great expertise,Courteous, knowledgeable, detail orientated Mohammed was an awesome instructor. very knowledgeable.
Jason Pope United State	The instructor was an outstanding; very personable and presented the material well. I liked the fact that he worked with us on the daily schedule which helped us take care of some crucial tasks here at the end of the year.
Paul Martinez United State	Mohammed was great, super flexible and took my pervious experience into account. His adaptability made the learning sessions engaging, and his consideration of my background knowledge significantly enhanced the learning process. Overall, a fantastic experience with a teacher who understands how to make learning both effective and enjoyable."
Asadullah Osmani Afghanistan	Gurfan, is a very Knowledgeable instructor and delivered the material professionally and was welling to explain and help with questions during the session.Great instructor vert knowledgeable and knew the topic very well and he very knowledgeable , i do recommend others to take courses with him.
Pramod Vidwat India	Has a good knowledge on the subject and more important we had a lot of labs to practice and get the concepts cleared.
Helder Mozambique	Is a great instructor, explains very well about the classes, very attentive, dynamic and very motivated, I learned a lot from him and I always hope to count on him during my I.T. careers, he is a excellent teacher.
Hirofumi Takemi Japan	It was an excellent course and I was very lucky to have you as my trainer. Thanks a lot. Hope to see you again somewhere sometime.
Stevenson Kiteculo Africa	What to say about the coach, I don't know where to start but I tell you, you have a big picture in your company, he helped me even in having motivation that everything is possible when you believe. He is a great teacher and a great person congratulations on you having him.It was a great pleasure to have you as a teacher, in fact he marked my life and I really want to be able to count on your future help, especially the teacher because thanks to him I was able to motivate myself and smile thinking about a great career all this was possible thanks to the efforts , attention and dedication he had to help me thank you very much
Mark Powell United States	I learned a lot. His method of teaching and the way he made sure I understand everything will prove well for me passing my test.
Emmanuel A Bankole Angola	I really appreciate this training, it has really impacted great knowledge and you are cool and perfect instructor if I have to be honest.

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DP-3007: Train And Deploy A Machine Learning Model With Azure Machine Learning

What you will learn

Who should attend

Course Outline

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