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Azure Machine Learning: End-to-End Machine Learning Workflow

Overview UK firms are moving from cloud storage to AI-driven decisions; ONS reported that 9% used AI and 69% used …

4.8 4.8 Rating ( 5 Reviews )
57 Students
Bestseller
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i Last Updated: 14th August 2026
◎ English
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Overview

UK firms are moving from cloud storage to AI-driven decisions; ONS reported that 9% used AI and 69% used cloud computing in 2023. Azure Machine Learning helps learners turn that shift into practical cloud ML knowledge, covering Azure ML Studio, administration, modules, dataset processing, income prediction, automobile price prediction, linear regression, cross-validation, Iris clustering and notebooks.

If machine learning feels complex, this online Azure Machine Learning course gives you a clearer path through model training, testing, deployment and MLOps concepts. It suits beginners, IT professionals, students, software developers and data learners aiming for machine learning engineer, data analyst, AI support, software developer, cloud data specialist and predictive modelling routes.

Enrol today and build Azure ML confidence online from home at your pace with certificate options.

Key Benefits Included

► Accredited by CPD
► Instant Access
► 24/7 Learning Assistance
► Self-paced learning and laptop, tablet, smartphone-friendly
► Fully online, interactive course with audio voiceover
► Developed by qualified professionals in the field

Sneak Peek

Learning Outcomes

This course helps learners build Azure Machine Learning, data preparation, model training, regression, clustering and deployment knowledge for AI and data roles.

By the end of this course, learners will be able to:

► Explain the purpose of Azure Machine Learning in cloud AI work.
► Recognise key features of Microsoft Azure Machine Learning Studio.
► Identify the main stages of an end-to-end machine learning workflow.
► Describe how data preparation supports stronger model results.
► Recognise model training themes in Azure ML Studio.
► Identify prediction tasks using sample data sets.

Who is This Course For?

This course suits learners who want online Azure Machine Learning training for AI, data science, cloud and software career growth.

► Learners searching for an Azure Machine Learning course online.
► Beginners starting machine learning.
► IT professionals exploring cloud-based AI.
► Students interested in data science.
► Software developers learning Azure ML basics.
► Data learners studying prediction and regression.

Certification

CPD Certification

After successfully completing the assessment of this Azure Machine Learning: End-to-End Machine Learning Workflow course, you can apply for the CPD accredited certificates.
PDF certificate: £9.99
Hardcopy certificate: £15.99

Career Opportunities

This course supports UK AI, data science, software, cloud and analytics routes where Azure Machine Learning and model workflow knowledge may add value to career growth.

► Machine Learning Engineer — Average UK salary: £32,000–£82,500 per year
► Data Scientist — Average UK salary: £32,000–£82,500 per year
► Data Analyst — Average UK salary: £28,000–£65,000 per year
► Software Developer — Average UK salary: £30,000–£75,000 per year
► AI Engineer — Average UK salary: £40,000–£80,000 per year
► Cloud Engineer — Average UK salary: £40,000–£70,000 per year

Excellent

4.8 Average - 5 Reviews

★ Reviews
Phoebe Lancaster
A clear and beginner-friendly Azure Machine Learning course. The modules on Azure ML Studio, dataset processing, prediction models and cross-validation helped me understand machine learning workflows step by step.
Edward Pembroke
Well-structured and easy to follow. I found the sections on linear regression, Iris data clustering and notebooks especially useful for building confidence in Azure-based machine learning tasks.

Course Curriculum

Azure Machine Learning
Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration 00:22:00
Module 02: Various Modules in Machine Learning 00:13:00
Module 03: Prediction of Income (Automated Tutorial) 00:33:00
Module 04: Prediction of Automobile Price using Linear Regression Algorithm 00:59:00
Module 05: Dataset Processing and Analysis (Sample-1) 00:57:00
Module 06: Cross Validation for Regression (Sample-2) 00:28:00
Module 07: Clustering Group Iris data (Sample-3) 00:17:00
Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio 00:18:00
Assignment
Assignment – Azure Machine Learning 00:00:00

Certificate of Achievement

Upon completion, you will receive a CPD-accredited certificate recognised globally. Choose from:

Pdf Certificate & Transcript  £7.99
Hardcopy Certificate & Transcript  £17.99

This certification validates your knowledge and skills, boosting your employability in healthcare.

1. What is Azure Machine Learning? +

Azure Machine Learning is a Microsoft cloud service for managing the machine learning project lifecycle. It supports model training, deployment, monitoring and MLOps, helping learners understand how cloud-based machine learning workflows are developed and managed.

2. Is this Azure Machine Learning course suitable for beginners? +

Yes, this course can support beginners who want a clear starting point in cloud machine learning. It introduces Azure ML Studio, machine learning modules, dataset processing, prediction examples, regression, clustering and notebooks in a structured way.

3. What will I learn in this Azure ML course? +

You will learn Azure Machine Learning Studio, administration basics, machine learning modules, income prediction, automobile price prediction using linear regression, dataset processing, regression cross-validation, Iris data clustering and notebook use in Azure ML Studio.

4. Does this course cover model training? +

Yes, the course covers model training through machine learning examples such as prediction, regression, dataset processing and clustering. Learners explore how data is prepared, analysed and used to support machine learning model workflows.

5. What jobs can this Azure Machine Learning course support? +

This course can support learning routes linked to machine learning engineer, data analyst, AI support, software developer, cloud data specialist, junior data scientist, predictive modelling assistant and business intelligence support roles.

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