Using AutoML Tools – Free Level 3 Course
Explore the foundations of Automated Machine Learning with Oxford Home Study Centre. This free Level 3 course introduces AutoML, the purpose of automated machine-learning platforms and the importance of preparing data before automated model development begins.
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 also browse our complete online course catalogue, compare programmes in our artificial intelligence course collection or explore more free AI courses.
Automated Machine Learning, usually shortened to AutoML, uses software to automate selected parts of the machine-learning workflow. Depending on the platform, this may include data preparation, feature processing, model selection, training and hyperparameter tuning.
This introductory course focuses on three areas: what AutoML is, how AutoML platforms support model-development workflows and why data preprocessing remains essential even when later stages are automated. The aim is to help you understand what automation can do, where its limits lie and why human judgement still matters.
AutoML does not remove the need to define the right problem, prepare suitable data or evaluate results carefully. Automated systems can make experimentation more efficient, but model quality still depends on appropriate objectives, useful data, suitable metrics and responsible interpretation.
This free course is designed as a starting point rather than a full technical programme. If you later want to study model training, hyperparameter optimisation, validation, deployment and more advanced AutoML applications, you can progress to our longer Level 5 course.
This course may suit AI beginners, students, data analysts, business analysts, IT professionals, project managers and learners who want to understand automated machine learning without beginning with an advanced technical programme.
If you want to understand the wider context behind AutoML, our beginner's guide to machine learning explains the core ideas behind models, data and learning from examples.
For a more detailed study route, compare our Level 5 Automated Machine Learning course, which extends into model building, hyperparameter optimisation, validation, deployment and advanced applications.
AutoML means Automated Machine Learning. It refers to tools and processes that automate selected parts of a machine-learning workflow, such as preprocessing, model selection or hyperparameter tuning.
Yes. You can study the course online without an enrolment fee. Optional certificates are available separately after successful completion.
This is a Level 3 course designed as an accessible introduction to AutoML tools and workflows.
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.
No formal entry requirements apply. Different real-world AutoML platforms may require different levels of technical knowledge, but this course is designed as an introduction.
No. Automation can reduce repetitive work, but users still need to understand the problem, data, evaluation criteria and limitations of the resulting model.
Yes. Module 3 focuses on preparing and structuring data before it is used with AutoML tools.
Deployment belongs to the longer Level 5 programme. This free course focuses on AutoML foundations, platforms and data preprocessing.
Yes. Optional OHSC completion, CPD Accredited and QLS Endorsed certificate routes are available after successful completion.
No Ofqual-regulated status is established for this free course. Course completion, CPD accreditation and QLS endorsement are distinct from formal qualification regulation.
The free route is Level 3, 200 hours and three modules. The Level 5 programme is 450 hours and eight modules, extending into model training, optimisation, evaluation, deployment and advanced domain applications.
Who Should Take This Course?
Related Learning and Next Steps
Frequently Asked Questions
What does AutoML mean?
Is this AutoML course free?
What level is the course?
How long does the course take?
Do I need coding experience?
Does AutoML remove the need to understand machine learning?
Does the course cover data preprocessing?
Will I learn model deployment?
Can I get a certificate?
Is this an Ofqual-regulated qualification?
What is the difference between the free and Level 5 AutoML courses?
What You Will Learn
- Define AutoML and explain its place within a machine-learning workflow.
- Understand how automated workflows differ from fully manual model development.
- Recognise common AutoML platform capabilities and limitations.
- Understand why data cleaning and preprocessing still matter when using automated tools.
- Recognise model selection and tuning as processes that still require evaluation.
- Build a foundation for later study of model training, validation and deployment.
Free Study and Optional Certificates
You can study this course free of charge from enrolment through completion. We provide the online learning materials without a course fee, and certification is optional rather than a condition of accessing the course.
OHSC Course Completion Certificate
You can choose an optional OHSC Course Completion Certificate after successfully completing the programme. This records that you completed the course and should not be presented as a vendor-specific AutoML certification or regulated qualification.
CPD Accredited Certificate
An optional CPD Accredited Certificate is also available. It can provide evidence of completed continuing professional development and may be useful for a personal CPD record where relevant to your goals.
Quality Licence Scheme Endorsed Certificate
You can also choose a Quality Licence Scheme Endorsed Certificate. QLS endorsement relates to the course endorsement arrangement and is distinct from Ofqual-regulated qualification status.
These certificates do not guarantee employment, promotion, salary progression or professional status. If you need a particular credential for work or further study, check the receiving organisation's requirements before ordering.
Certificate prices, formats and delivery options can change. Review our certificate information and claiming guidance when you are ready to order.
COURSE CONTENT
Course Syllabus
Module 1: Introduction to AutoML and Its Role in Machine Learning
Learn what AutoML means, why automated approaches have developed and where automation can fit into a machine-learning workflow. You will compare automated and manual approaches while keeping the underlying problem and evaluation criteria in view.
Module 2: Understanding AutoML Platforms
Explore the purpose and typical features of AutoML platforms. You will consider how different tools can support model-development tasks and why platform capabilities vary according to the data, workflow and technical environment.
Module 3: Data Preprocessing for AutoML
Understand why raw data usually needs inspection, cleaning and preparation before automated modelling. The module introduces preprocessing concepts that help create more suitable inputs for an AutoML workflow.
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Course Info
| Course Level | 3 |
| Awarding Body | OHSC |
| Course Duration | 200 Hours |
| Entry Requirements | Open to All |
| Start Date | Ongoing |