Automated Machine Learning (Auto ML) – Level 5 Course

Auto ML platforms automate selected stages of machine-learning development. Depending on the tool, this can include data preparation, model search, training, hyperparameter tuning, evaluation and deployment support.

This programme takes a structured approach to those stages. You will begin with the role of Auto ML in machine learning and the features of different platforms before moving into preprocessing, automated model building, tuning, validation and deployment.

The course also examines an important limitation of automation: an automatically generated model is not automatically a good model. Data quality, target definition, metric selection, validation, bias checks and human oversight remain essential throughout the lifecycle.

Later modules consider deployment and advanced Auto ML applications across different sectors. The emphasis is on understanding how automation can support machine-learning workflows without removing the need for informed technical and organisational decisions.

Who Should Study This Course?

The programme may suit data analysts, data scientists, AI and machine-learning learners, software developers, business analysts, IT professionals, researchers and students who want a more substantial treatment of automated machine learning.

The course is educational and is not a substitute for vendor-specific platform certification or practical project experience.

What You Will Learn

• Explain Auto ML and its relationship to traditional machine-learning workflows.
• Compare the purpose and capabilities of Auto ML platforms.
• Prepare data for automated model development.
• Understand automated model building and training.
• Explore hyperparameter optimisation and tuning.
• Evaluate and validate Auto ML-generated models.
• Understand deployment and integration considerations.
• Explore advanced Auto ML applications across different domains.

If you want a shorter introduction first, our free Using Auto ML Tools course is a Level 3, 200-hour route covering Auto ML foundations, platform concepts and data preprocessing.

This Level 5 programme is the broader route, extending across eight modules into model building, hyperparameter optimisation, evaluation, validation, deployment and advanced domain applications.

Useful Machine-Learning Guides

If you want to refresh the underlying concepts before starting, our beginner's guide to machine learning explains the core ideas behind data, models and learning from examples.

For a broader view of the stages around model development and deployment, read our guide to the AI model lifecycle.

Frequently Asked Questions

What is Automated Machine Learning?

Automated Machine Learning uses software to automate selected tasks involved in developing machine-learning models, potentially including preprocessing, model selection, tuning, evaluation and deployment support.

What level is this Auto ML course?

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

Does the course cover Auto ML platforms?

Yes. Module 2 explores Auto ML platforms, their features and their role in accelerating model-development workflows.

Will I learn to build and train models with Auto ML?

Yes. Module 4 focuses on automated model building and training concepts.

Does the course cover hyperparameter optimisation?

Yes. Module 5 examines automated hyperparameter optimisation and tuning.

Will I learn model evaluation and validation?

Yes. Module 6 covers assessment and validation of Auto ML-generated models.

Does the programme cover deployment?

Yes. Module 7 introduces deployment and integration of Auto ML models into wider workflows.

What certificates are included?

The course includes a CPD Accredited PDF Certificate and an Endorsed QLS Certificate in PDF format after successful completion.

Is this an Ofqual-regulated Level 5 qualification?

CPD accreditation, QLS endorsement and the Level 5 course description should not be treated as evidence of Ofqual-regulated status unless that status is explicitly confirmed for the specific award.

Will this course guarantee an AI or machine-learning job?

No. The programme supports knowledge development, while employment depends on practical capability, experience, technical skills and employer requirements.

What is the difference between this and the free Auto ML course?

The free course is Level 3, 200 hours and three modules. This programme is Level 5, 450 hours and eight modules with substantially broader coverage of the Auto ML lifecycle.