Free course · 8 concepts · ~8h

AI model training

This curriculum provides a structured pathway for understanding and mastering the process of training AI models. Learners will gain knowledge of essential concepts, from data preparation to model evaluation and optimization.

Course outline — 8 concepts

Data Collection Basics

What this concept covers in 1 sentence

~20m →

Data Preprocessing Techniques

Learn about cleaning and transforming data for AI models.

~20m →

Feature Engineering

Explore how to create features that enhance model performance.

~20m →

Model Selection

Understand how to choose the right model for your data.

~20m →

Training Process

Learn the steps involved in training AI models.

~20m →

Model Evaluation

Discover methods to evaluate model performance.

~20m →

Hyperparameter Tuning

Learn how to optimize model performance with hyperparameter tuning.

~20m →

Model Deployment

Understand the steps to deploy a trained model.

~20m →

Ready to master AI model training?

Interactive lessons, inline checkpoints, and spaced repetition — all free.