Automate selection and tuning of models.
Get strong baselines with minimal effort.
Deliver results quickly in the real world.
AutoML (Automated Machine Learning) teaches you to build strong models faster by automating the repetitive parts of ML — feature processing, model selection and hyperparameter tuning. Using popular AutoML tools and cloud platforms, you'll produce competitive models quickly, understand their results, and know when AutoML is the right choice versus building by hand.
ML basics! An understanding of machine-learning fundamentals is recommended. Ideal for analysts and practitioners who want faster results.
Earn the "AutoML Practitioner" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialThe ML workflow and what gets automated.
Tools that automate model building in Python.
AutoML on major cloud providers.
Explainability and validation of AutoML output.
Build a competitive model with AutoML.
Deliver models faster with automation.
Add predictive modelling without deep code.
Accelerate baselines and experimentation.
Bring ML into projects quickly.
Yes — AutoML speeds up the work, but understanding ML lets you frame problems, interpret results and know when AutoML is appropriate. Our ML Fundamentals course is ideal preparation.
A laptop; we use free and trial tools — open-source AutoML libraries and cloud AutoML free tiers, with set-up help provided.
To receive the Edmire AutoML Practitioner Certificate, complete all 5 modules and the capstone — a strong model built and interpreted with AutoML. Resubmission is free if needed.
No — it automates repetitive steps, freeing data scientists for problem framing, feature ideas and judgment. It's a productivity tool, not a replacement for understanding.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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