Current

Intermediate

Overfitting and Underfitting: Avoiding Model Pitfalls

LinkedIn Learning · LinkedIn Learning · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.1/10

Duration

1-2 hours

Classes

8

Learn to identify and prevent overfitting and underfitting in machine learning models. This course covers techniques to optimize model performance and avoid common pitfalls in model development.

What you'll get

Understand the concepts of overfitting and underfitting

Identify signs of model overfitting and underfitting

Apply techniques to prevent overfitting in models

Optimize model generalization and performance

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 understanding of machine learning concepts

Pricing

Subscription

Certification

Certificate

Machine Learning

Model Optimization

Data Science

AI Fundamentals

ShareCompare

Add to Stack

Alternatives to Overfitting and Underfitting: Avoiding Model Pitfalls

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.