Free Azure Machine Learning Course – Level 3
Build a foundation in cloud-based machine learning with Oxford Home Study Centre. This free Level 3 course introduces Microsoft Azure Machine Learning Studio, workspaces and data preparation, giving you a structured starting point for understanding cloud-based machine-learning workflows.
You can study online at your own pace, with an estimated duration of 200 hours and no formal entry requirements. We provide the learning materials without an enrolment fee. You can browse our complete online course catalogue, compare programmes in our artificial intelligence course collection or explore more free AI courses.
Course Overview
Azure Machine Learning is Microsoft's cloud platform for organising machine-learning resources and workflows. It can support activities such as data preparation, experimentation, model development, deployment and management.
This free foundation course concentrates on the early stages of that workflow. You will learn what Azure Machine Learning Studio is, how workspaces organise projects and resources, and why careful data preparation matters before model training begins.
The programme is designed for beginners. It does not attempt to cover the full Azure machine-learning lifecycle or prepare you for an official Microsoft certification exam. Instead, it gives you a focused introduction to the platform concepts that support more advanced study.
Who Should Take This Course?
The course may suit AI beginners, students, data analysts, software-development learners, IT professionals and people exploring cloud-based machine learning for the first time.
Related Learning and Next Steps
If you want to understand the wider machine-learning context behind Azure ML, read our beginner's guide to machine learning.
When you are ready to move beyond workspaces and data preparation, compare our Level 5 Azure Machine Learning course, which extends into model building, evaluation, deployment, pipelines and applied project work.
Frequently Asked Questions
Is the Azure Machine Learning course free?
Yes. You can study the course online without an enrolment fee. Optional certificates are available separately after successful completion.
What level is the free Azure course?
This is a Level 3 course designed as an introduction to Azure Machine Learning.
How long does the course take?
The estimated study duration is 200 hours. Because the course is self-paced, the calendar time needed will depend on how many hours you choose to study each week.
What is Azure Machine Learning Studio?
Azure Machine Learning Studio is a cloud environment for managing machine-learning resources and workflows, including data, experiments and models.
Does the course cover Azure ML workspaces?
Yes. Module 2 introduces workspace organisation and management.
Will I learn data preparation?
Yes. Module 3 focuses on preparing and managing datasets in Azure Machine Learning Studio.
Does the free course cover model deployment?
No. The three-module syllabus focuses on Azure ML Studio, workspaces and data preparation. The longer Level 5 programme extends into model building, evaluation and deployment.
Do I need prior Azure experience?
No formal entry requirements apply, and the course is designed as an introductory route.
Is this an official Microsoft certification?
No. This is an OHSC educational course and should not be presented as a Microsoft-issued certification.
What should I study next?
The Level 5 Azure Machine Learning programme is the natural progression route if you want to continue into model development, optimisation, deployment, automation and pipelines.
What You Will Learn
- Understand the purpose of Azure Machine Learning Studio.
- Recognise the role of workspaces in organising machine-learning resources.
- Explore how datasets are imported, cleaned and prepared.
- Understand the relationship between cloud platforms and machine-learning workflows.
- Build a foundation for later study of model building, evaluation and deployment.
Free Study and Optional Certification
You can enrol on this course and complete your learning journey without paying a course fee. Full access to the learning materials is available during your studies, while certification remains optional and is not automatically included with free study.
Following successful completion of the course, you can choose to purchase one of two certificate options:
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QLS-endorsed certificate — a Certificate of Achievement endorsed by the Quality Licence Scheme.
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CPD-accredited certificate — issued by the CPD Standards Office as a record of your continuing professional development.
Each certificate option is priced separately. The amount payable may vary depending on the certificate selected, course level, format and delivery option. Please review our certificate options and current prices before ordering.
Choosing to purchase a certificate is entirely optional. You can access the course materials and complete your studies without purchasing a certificate.
COURSE CONTENT
This Free Azure for Machine Learning Course covers the following modules:
Module 1: Introduction to Microsoft Azure Machine Learning Studio
Discover the purpose, interface and core capabilities of Azure Machine Learning Studio. You will learn how a cloud platform can bring together resources used across a machine-learning workflow.
Module 2: Exploring Azure Machine Learning Studio Workspaces
Understand how workspaces organise projects, data, experiments and related resources. The module explains why structured workspace management becomes increasingly important as machine-learning work grows in complexity.
Module 3: Data Preparation and Management in Azure ML Studio
Explore the process of importing, cleaning and preparing datasets before model training. The module reinforces the importance of suitable, reliable data in any machine-learning workflow.
HOW IT WORKS
Enhance your skills with our highly informative courses.
Pass the assignments by getting the required marks.
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WHY GET CERTIFIED
Earning a certification builds employer confidence in your skills. You can effortlessly add the credential to your portfolio and share it across platforms.
Earning a certification showcases your advanced skills and commitment to professional growth. This significantly increases your chances of getting hired.
Expanding your knowledge and skills is essential for landing a job, advancing to higher positions, and exploring new career paths.
Student Feedback
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Course Info
| Course Level | 3 |
| Awarding Body | OHSC |
| Course Duration | 200 Hours |
| Entry Requirements | Open to All |
| Start Date | Ongoing |