Current

Intermediate

The Machine Learning Lifecycle: From Data Ingestion to Responsible Deployment

LinkedIn Learning · LinkedIn Learning · Updated March 2026

Platform rating

4.6/5

Champ rating

8.6/10

Duration

3-4 hours video

Classes

12

Learn the complete machine learning lifecycle from initial data ingestion through to responsible deployment in production. This course covers best practices for building, validating, and deploying ML models while considering ethical implications and responsible AI practices.

What you'll get

Understand the complete ML lifecycle from data to deployment

Implement responsible AI practices in model development

Deploy machine learning models effectively in production

Address ethical considerations in ML projects

Course Curriculum

4 chapters

Fit

Best for

Developers

AI Engineers

Data Scientists

Technical Builders

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic understanding of machine learning concepts

Pricing

Subscription

Certification

Certificate

Machine Learning

ML Lifecycle

Responsible AI

Data Science

Deployment

ShareCompare

Add to StackGo to Course

Alternatives to The Machine Learning Lifecycle: From Data Ingestion to Responsible Deployment

Compare

Current

Champ's Pick

Deep Learning Fundamentals

Lightning AI · Lightning AI

4.8

8.8/10

10 units (self-paced)

Free 10-unit course teaching deep learning from fundamentals to practical model training with PyTorch and PyTorch Lightning.

Free

ViewAddCompare

Course on building game-playing bots with lookahead strategies and deep reinforcement learning using practical exercises.

Build computer vision solutions using Azure AI Vision. Learn image analysis, object detection, face recognition, and custom vision models.

Master GenAIOps practices for deploying and operating generative AI applications in production with Azure AI.