[RCAC Workshop]AutoML: Automating the Machine Learning Pipeline

📅 Date: May 1st 2026 ⏰ Time: 10AM-11AM 💻 Location: Virtual 🏫 Instructor: Haniye Kashgarani

What You'll Learn: This training introduces AutoML (Automated Machine Learning) as a framework and paradigm for automating key steps in building machine learning models, including model selection, hyperparameter tuning, and evaluation. Participants will learn the core ideas behind how AutoML frameworks operate, see how they can quickly produce strong baseline models, and be briefly introduced to representative implementations such as Auto-sklearn. At the same time, the training emphasizes important limitations—such as reduced control, risk of overfitting, computational cost, and limited transparency—so learners leave with both the confidence to use AutoML effectively and the judgment to know when a more hands-on approach is the better choice.

Who Should Attend: Anyone who wants to build effective machine learning models quickly using automated approaches, while understanding when and why to go beyond them.

Level: Intermediate level, suitable for those with basic familiarity with machine learning concepts but no prior experience with AutoML.

🔗 Register now:LINK