Current

Intermediate

40% Off

Training, Evaluating, and Monitoring Machine Learning Models

Coursera · Coursera · Updated March 2026

Platform rating

4.4/5

Champ rating

8.1/10

Duration

20-25 hours

Classes

40

Learn essential techniques for training machine learning models, evaluating their performance, and implementing monitoring systems in production. This course covers best practices for MLOps and model lifecycle management.

What you'll get

Train and optimize machine learning models effectively

Evaluate model performance using appropriate metrics

Implement monitoring and observability for ML systems

Deploy and maintain ML models in production

Course Curriculum

4 chapters

Fit

Best for

Leaders

Analysts

Researchers

Decision-makers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic machine learning knowledge

Pricing

Subscription

Certification

Certificate

Machine Learning

MLOps

Model Training

Model Evaluation

ShareCompare

Add to StackGo to Course

Alternatives to Training, Evaluating, and Monitoring Machine Learning Models

Compare

Current

Artificial Intelligence Professional Program

Stanford Online · Stanford School of Engineering

4.6

8.5/10

10 weeks per course

Professional certificate pathway covering machine learning, deep learning, NLP, reinforcement learning, and computer vision with graduate-level rigor.

$1,950 per course

ViewAddCompare

Graduate certificate requiring four AI courses with transcripted credit, advanced electives, and formal academic performance thresholds.

Foundational AWS certification validating AI, ML, and generative AI concepts for professionals who use AI/ML solutions without necessarily building them.

Professional-level certification focused on building and deploying production-grade generative AI solutions on AWS services such as Amazon Bedrock.