MLE for ProductionWeek 1 — Collecting, Labeling, and Validating Data →Week 1 — Hyperparameter Tuning: Searching for the Best Architecture →Week 1 — Intro to Model Serving and Infrastructure →Week 1 — The ML Project Lifecycle →Week 2 — Dimensionality Reduction →Week 2 — Feature Engineering →Week 2 — Key Challenges in Modelling →Week 2 — Model Serving Architecture, Scaling Infrastructure and More. →Week 3 — Data →Week 3 — Data Journey →Week 3 — High Performance Modeling →Week 3 — ML Experiment Management and Workflow Automation & MLOps Methodology →Week 4 — Model Monitoring, Logging & Model Decay, GDPR, and Privacy →Week 4 — Model Performance Analysis →