Grokking the Machine Learning Interview

Your proven path to success in machine learning interviews, developed by FAANG engineers. This course focuses on open-ended ML system design problems like recommendation, search ranking, ad prediction, fraud detection, and more. You’ll learn a repeatable methodology for defining problems, choosing metrics, selecting model architectures, designing data pipelines, and evaluating trade-offs. Practical modules cover performance and capacity, data collection, online experimentation and A/B testing, embeddings, transfer learning, model debugging, and MLOps considerations. You’ll design multiple real-world ML systems and practice with mock interviews so you can confidently tackle machine learning interviews at top tech companies.