Microsoft Azure Machine Learning (ML) Fundamentals Course
Create your first Data Science experiment in Microsoft Azure using Machine learning (ML) in Real world data analysis
Updated on Jun, 2025
Language - English
Development ,Data Science,Machine Learning
Lectures -12
Duration -1.5 hours
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Course Description
Are you a company or a Web developer, IT administrator, data centre architect, consultant, enterprise architect, data protection officer, programmer, data security specialist, or big data analyst and want to gain fundamental and intermediate level skills and enjoy a fascinating high-paying career?
Or maybe you just want to learn additional tips and techniques to take to a whole new level?
Welcome to Microsoft Azure Machine Learning (ML) Fundamentals course For Beginners - A one-of-a-kind course!
The flipped classroom model with hands-on learning will help you experience direct into the course as you begin your learning journey. Be sure to watch the preview lectures that set course expectations!
In this course, you'll learn and practice:
Working in Azure ML Studio.
Creating a machine learning experiment.
Modeling a real business use case.
Learn the basic concepts of machine learning.
Understand best practices and much more.
You will also get complete resources, toolkit, and code where applicable with this course! We've built this course with our Team ClayDesk of industry-recognized developers and consultants to bring you the best of everything!
So, if you would like to:
- Start your freelancing career and consult companies, this course is for you.
- Gain marketable skills as an IT expert and professional, this course is for you.
- This course is not designed for advanced-level students.
This Microsoft Azure Machine Learning (ML) Fundamentals course is exactly what you need, and more. (You’ll even get a certification of completion)
Why take this course?
As an enterprise architect consulting with global companies, technology evangelists, and brand innovators, I have designed, created, and implemented enterprise-level projects, I am excited to share my knowledge and transfer skills to my students.
Enroll now in Microsoft Azure Machine Learning (ML) Fundamentals today and revolutionize your learning. Stay at the cutting edge of Machine Learning and Data Science —and enjoy bigger, brighter opportunities with Microsoft Azure.
Goals
- The Microsoft Azure Machine Learning (ML) Fundamentals course is designed to equip students with a solid foundation in the key principles and practices of machine learning using the Azure platform. Throughout the course, students will learn about the fundamental concepts of machine learning, such as supervised and unsupervised learning, classification, regression, and clustering. They will also gain hands-on experience in building and deploying machine learning models using Azure ML Studio, a powerful tool for developing ML solutions. By the end of the course, students will be able to apply machine learning techniques to real-world problems, leverage Azure ML services effectively, and understand the overall workflow of developing ML solutions on Azure.
Prerequisites
A credit card is required to create a Microsoft Azure account.
Knowledge of basic statistical concepts is highly desirable but not required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction and Course Agenda
03:12
03:12
Deep Dive Azure ML
8 Lectures
Concept Lectures
3 Lectures
Instructor Details
Syed Raza
Hello, my name is Syed Raza and I am passionate about teaching valuable skills to students who are motivated to learn! My goal is to help you easily achieve your goals and objectives, whether that means enhancing your existing skill set, gaining productivity at the workplace, differentiating yourself, or learning the new technological skills that are required to improve your career.
Over the last 20 years, I have acquired valuable skills and experience that allow me to provide you with great learning experiences. I have numerous technical IT and developer certifications (AWS, MCSE+I, MCT, CCNA—including a PhD which enable me to teach a variety of powerful courses, from IT to Project Management.
Providing technical and training solutions using AWS, Azure, Google Cloud, Red Hat OpenShift, Python, Java, JavaScript, React JS, GCP, Kubernetes, Jenkins, Ansible, and Docker
AWS Certified Solutions Architect, DevOps Engineer building AWS pipelines using CodeStar and CodeCommitt
Working knowledge of TensorFlow, Pytorch, Keras, Convolutional networks, and data science concepts
Course Certificate
Use your certificate to make a career change or to advance in your current career.
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