Udemy - Pharmacology on Fingertips [TorrentX]

Production-Grade Deep Learning Pipelines https://WebToolTip.com Published 10/2026 Created by Ahmed Moussa MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 343 Lectures ( 8h 1m ) | Size: 3.2 GB Take a deep learning model from notebook to a self-retraining production system with TFX, MLflow, and Vertex AI What you'll learn ⚡ Build an end-to-end TFX pipeline: ExampleGen, StatisticsGen, SchemaGen, ExampleValidator, Transform, Tuner, Trainer, Evaluator and Pusher ⚡ Track experiments with MLflow and move a Keras DNN from notebook code into a reproducible, versioned pipeline ⚡ Orchestrate pipelines locally with Apache Beam, then run the same pipeline on Google Cloud Vertex AI Pipelines ⚡ Containerize pipeline code with Docker and manage cloud access securely with IAM service accounts and Cloud Storage ⚡ Register, version and serve models with the Vertex AI Model Registry and Vertex AI Endpoints ⚡ Gate deployments with evaluation thresholds so a new model ships only if it beats the current one ⚡ Trigger retraining automatically on new data with Cloud Run functions, and understand drift and training–serving skew ⚡ Set up CI/CD for ML pipelines with GitHub Actions and keyless Workload Identity Federation Requirements ❗ Working knowledge of Python (functions, classes, virtual environments) ❗ Basic machine learning concepts: training and test data, regression, overfitting ❗ Some exposure to TensorFlow or Keras is helpful but not required ❗ A computer that can run Linux: Windows 10/11 with WSL 2 (a step-by-step setup guide is included), Linux, or an Intel Mac