AutoML Foundations: Build Machine Learning Models Without Code

Machine learning is no longer exclusive to advanced programmers and software engineers. With modern AutoML tools, any data professional or business analyst can build, evaluate, and deploy powerful predictive models. This text-only course guides you through the foundational concepts of Automated Machine Learning (AutoML). You will transition from understanding basic data preprocessing to launching fully trained machine learning models in the cloud, all without writing code. What you'll learn: 1. Understand core machine learning terminology, evaluation metrics, and the AutoML workflow. 2. Prepare and clean datasets to ensure optimal model training performance. 3. Configure automated classification and regression tasks using cloud-based AutoML platforms. 4. Evaluate model performance using confusion matrices, precision, recall, and ROC curves. 5. Deploy trained models to generate real-world predictions and integrate them into business workflows. 6. Explore modern best practices in feature engineering and model interpretability. You will start with key definitions and foundational concepts before moving step-by-step through data ingestion, automated training, and model evaluation. The material concludes with practical guidance on deploying your models and interpreting their results. This course is designed for absolute beginners, business analysts, and aspiring data professionals. No prior programming experience or advanced mathematics background is required. Start your journey into no-code machine learning and unlock the power of automated predictions today.