Azure Machine Learning – Level 5 Course

Develop a broader understanding of cloud-based machine learning with Oxford Home Study Centre. This Level 5 online programme covers the Azure Machine Learning workflow from Studio and workspace management through data preparation, model building, evaluation, deployment, automation, pipelines and applied project work.

The programme has an estimated duration of 450 hours and is designed for flexible, self-paced study. You can browse our complete online course catalogue or compare related programmes in our artificial intelligence course collection.

Course Overview

Azure Machine Learning supports cloud-based workflows for preparing data, building models, managing experiments and moving machine-learning solutions towards deployment. This programme develops those ideas across eight modules.

You will begin with Azure Machine Learning Studio, workspaces and data preparation before moving into model building, evaluation and optimisation. Later modules cover deployment, model management, automation, pipelines and integration with other Azure AI services.

The final stage of the course brings the main concepts together through applied project work and best-practice considerations. The aim is to help you understand how the platform supports an end-to-end machine-learning lifecycle rather than treating Azure as a collection of disconnected tools.

This course is an OHSC educational programme, not an official Microsoft certification. If you need a Microsoft-issued credential, check Microsoft's current certification pathways separately.

Who Should Study This Course?

The programme may suit data scientists, machine-learning learners, cloud professionals, AI researchers, software developers, business-intelligence specialists, IT professionals and students who want broader Azure Machine Learning coverage.

Free Foundation or Level 5 Azure Machine Learning?

If you are new to the platform, our free Level 3 Azure Machine Learning course provides a shorter 200-hour introduction covering Azure ML Studio, workspaces and data preparation.

This Level 5 programme is the more detailed route. It runs to 450 hours across eight modules and adds model building, evaluation, optimisation, deployment, automation, pipelines and applied project work.

Useful Machine-Learning Guides

If you want to refresh the wider concepts behind the platform, our beginner's guide to machine learning provides a clear overview of models, data and learning from examples.

For a broader view of how models move from initial problem definition through training, evaluation and deployment, read our AI model lifecycle guide.

Frequently Asked Questions

What is Azure Machine Learning?

Azure Machine Learning is Microsoft's cloud platform for organising, building, evaluating and managing machine-learning workflows and resources.

What level is this course?

This is a Level 5 course with an estimated duration of 450 hours.

Does the course cover model building?

Yes. Module 4 focuses on building machine-learning models with Azure Machine Learning Studio.

Will I learn model evaluation and optimisation?

Yes. Module 5 covers performance evaluation and optimisation concepts.

Does the course cover deployment?

Yes. Module 6 covers deployment and model management in Azure Machine Learning Studio.

Are pipelines and automation included?

Yes. Module 7 explores automation, pipelines and integration with other Azure AI services.

Is this an official Microsoft Azure certification?

No. This is an OHSC educational programme and should not be presented as a Microsoft-issued certification.

Is it an Ofqual-regulated Level 5 qualification?

No regulated status is established for this course. CPD approval, endorsement and the Level 5 course description are distinct from Ofqual regulation.

What certificate is included?

A course completion certificate is included with the programme. It records completion of the OHSC course and is not a Microsoft-issued Azure credential.

How does the paid course differ from the free course?

The free route has three modules and 200 hours. This Level 5 programme has eight modules and 450 hours, adding model creation, evaluation, deployment, automation, pipelines and applied project work.