Machine Learning Engineering for Production

Become a Machine Learning expert. Put your machine learning knowledge to work, and expand your production engineering capabilities and begin to turn your ideas into realities.

My Scores

• Course 1 - Introduction to Machine Learning in Production: 100%
• Course 2 - Machine Learning Data Life Cycle in Production: 100%
• Course 3 - Machine Learning Modelling Pipelines in Production: 100%
• Course 4 - Welcome to Deploying Machine Learning Models in Production: 98%

Course Structure

Each course is spread out in weeks, and are made up of video slides, lab sessions, quizzes, assignments, related course materials, code and data

Course 1: Introduction to Machine Learning in Production

Week 1

Slides

• Machine Learning Project Life Cycle

Labs

• Deploying a Machine Learning Model
• Consuming a Machine Learning Model

Week 2

Slides

• Select and train a Model

Labs

• Ungraded Lab: A journey through Data
• Ungraded Lab: Data Labeling

Week 3

Slides

• Define data and establish baseline

Labs

• Ungraded Lab: Data Labeling

Course 2: Machine Learning Data Life Cycle in Production

Week 1

Slides

• Collecting, Labeling, and Validating Data

Labs

• Ungraded Lab: TFDV Exercise

Assignments

• Assignment: Data Validation

Week 2

Slides

• Feature Engineering, Transformation and Selection

Labs

• Ungraded Lab: Simple Feature Engineering
• Ungraded Lab: Feature Engineering Pipeline
• Ungraded Lab: Feature Selection

Week 3

Slides

• Data Journey and Data Storage

Labs

• Ungraded Lab: Walkthrough of ML Metadata
• Ungraded Lab: Iterative Schema with TFX and ML Metadata

Assignments

• Week 3 Assignment: Data Pipeline Components for Production ML

Week 4

Slides

• Advanced Labeling, Augmentation and Data Preprocessing

Labs

• Ungraded Lab: Feature Engineering with Weather Data
• Ungraded Lab: Feature Engineering with Accelerometer Data
• Ungraded Lab: Feature Engineering with Images

Course 3: Machine Learning Modelling Pipelines in Production

Week 1

Slides

• Neural Architecture Search

Labs

• Ungraded Lab: Intro to Keras Tuner
• Ungraded Lab: Hyperparameter tuning and model training with TFX

Week 2

Slides

• Model Resource Management Techniques

Labs

• Ungraded lab: Manual Feature Engineering
• Ungraded lab: Algorithmic Dimensionality Reduction
• Ungraded Lab: Quantization and Pruning

Week 3

Slides

• High Performance Modeling

Labs

• Ungraded lab: Distributed Strategies with TF and Keras
• Ungraded Lab: Knowledge Distillation
• Ungraded lab: Distributed Strategies with TF and Keras

Week 4

Slides

• Model Analysis

Labs

• Ungraded Lab: TensorFlow Model Analysis
• Ungraded Lab: Model Analysis with TFX Evaluator
• Ungraded Lab: Fairness Indicators

Week 5

Slides

• Interpretability

Labs

• Ungraded lab: Shapley Values
• Ungraded lab: Permutation Feature Importance

Course 4: Welcome to Deploying Machine Learning Models in Production

Week 1

Slides

• Model Serving

Labs

• Ungraded lab: Serve a model with TensorFlow Serving

Week 2

Slides

• Model Serving Architecture

Labs

• Ungraded Lab (Optional): ETL Pipelines and Batch Predictions with Apache Beam and Tensorflow

Week 3

Slides

• Model Management and Delivery

Labs

• Ungraded Lab: Building ML Pipelines with Kubeflow
• Ungraded Lab: Developing Custom TFX Components

Week 4

Slides

• Model Monitoring

Disclaimer

The solutions presented are intended to serve as reference for other learners who enroll in this course.