The first online course to teach developers how to create cloud-scale AI applications with Azure Machine Learning Studio
This course will introduce you to Azure Machine Learning Studio and AI and get you up to speed building cloud-scale AI pipelines with Microsoft's new online machine learning development environment.
You will build a solid foundation in machine learning and learn how to build, train, and evaluate complex AI models, all without writing a single line of code! You'll be using Microsoft's revolutionary no-code designer to build advanced machine learning models from day one, and I will provide you with all the support you need to get going.
I will coach you in our private support group where you can hang out with your fellow students and upload homework assignments.
Did I mention you won't be typing a single line of code?
Azure Machine Learning Studio will help you develop complex machine learning models by dragging and dropping algorithms, datasets, and transformation engines on a powerful designer canvas.
Check this out, this is a pipeline I built to detect dogs and cats in images. You will be building this exact same model during the course:
“Mark goes through clearly and succinctly in 10 minute lectures what would take an entire college class to discuss.”
Oliver Yu, course student
HERE'S WHAT YOU'LL GET
36 Video Lectures
5 Case Studies
All data sets
102 Text Lessons
11 Homework Assignments
Private Support Group
24-Hour Response Time
Certificate of Completion
Check out this complimentary course lecture in which I will teach you how to get from linear regression to a deep neural network:
I'm pleased to meet you!
Introduction To Machine Learning
What is machine learning?
Setting Up An Azure ML Workspace
Azure Machine Learning
Set up Azure Machine Learning
Setting Up Azure ML Datasets
Azure Datastores and Datasets
Set up the California Housing dataset
Processing Numeric Data
Introducing numeric data
Loading numeric data
Azure Dataset Profiling
Process the California Housing dataset
Building Machine Learning Pipelines
Azure Machine Learning Pipelines
Azure Machine Learning Experiments
Build your first pipeline
Introducing linear regression
Single linear regression
Multiple linear regression
Predict house prices in California
Introducing case studies
Predict taxi prices in New York
Processing Text And Geo Data
Loading string data
Loading Geo data
Loading text data
Improve the California Housing pipeline
Predict house prices in Iowa
ROC, AUC, and Bias
Predict heart disease risk
Detect credit card fraud in Europe
The confusion matrix
Micro and macro averages
Recognize handwritten digits
Deep Neural Networks
Introducing deep neural networks
From regression to neural networks
The architecture of deep neural networks
Visualize hidden network layers
Train deep neural networks
Recognize cats and dogs
Training And Evaluating Models
K-Fold Cross Validation
Detect spam messages
Flag toxic comments on Wikipedia
Predict Titanic survivors
Detect diabetes in Pima indians
Predict bike demand in Washington DC
The Davies Bouldin Index
Classify unlabeled Iris flowers
What you've learned
All pricing plans come with a 30 days money-back guarantee.
“Mark’s training has been an eye-opening experience for me. I never thought of building machine learning apps in just a few days! With the techniques that I learned, I built an object detector prototype for my work in just 2 days! I initially thought that would take a few months to complete.”
Huan Yong, course student
FREQUENTLY ASKED QUESTIONS
1. Course FAQs
i. I’m a complete beginner in Machine Learning. Are the courses going to be right for me?
Absolutely! The only thing you need to know is how to build simple console applications in C#. Everything else I will teach you step by step. In fact the sooner you enroll, the faster you will get the results that you want.
ii. How much time will it take to go through a course?
Each course contains roughly 6 weeks of content. We encourage you to dedicate at least 2 hours per weekday for about six weeks to keep up with daily assignments.
iii. What if I can’t keep up with the group?
You have lifetime access to all videos and files that come with the course, so you can learn at your own pace.
And if you get stuck you can always just post a question in the support group and the students or I will help you out.
2. Support FAQs
i. Is there support as I go through the program?
You will have daily supervision from me, your instructor. We'll also have group session where you can ask me questions live.
You also have access to a private support group where you can ask questions on a daily basis and get them answered, meet other students and collaborate with them.
ii. What if this program doesn’t meet my needs?
I offer a full one-month money-back guarantee. If you don’t agree that this program is worth every penny I said it was, I will promptly refund your money. No questions asked. No hassle. You have my word on it.
I don’t care if its 29 days 23 hours 59 minutes and 59 seconds, just send me an email, and I’ll promptly refund your money back.
3. Program FAQs
i. How is this program different from other courses?
This course is unique. There is no other course on the market that will teach you how to build machine learning apps in C#.
You will be building machine learning apps from day one. You’ll ‘learn by doing’ and master key ML skills on the fly as you’re coding complex applications. This hands-on approach will have you learn new skills much faster than any other course that only uses text content or training videos.
ii. I already started learning Machine Learning, what can this program do for me?
Well, which results have you received so far? I’m sure you’ve learned a lot, but are you fully leveraging your existing C# skills? Can you build a machine learning app in 1 day? Has your career benefited from your new skills?
This course is unique in that it not only teaches you how to build machine learning apps in C#, but it is also dedicated to your career transformation.
4. Misc FAQs
i. What if I have a question that’s not on this FAQ list?
I’m here to help and want you to be completely comfortable with your investment. Just drop me an email with any questions you may have, at email@example.com