Program
AI & Machine Learning
Learn the foundations of machine learning and build models you can train, evaluate, and reason about.
Build practical machine learning — from data to models you can train, evaluate, and explain.
What you will learn
Python for ML, data preparation, core algorithms, model training, evaluation, and deployment.
Learning path
- 01Python for ML
- 02Data Preparation
- 03Core Algorithms
- 04Model Training
- 05Evaluation
- 06Deployment
Topics
Supervised LearningUnsupervised LearningFeature EngineeringModel EvaluationOverfitting & ValidationNeural NetworksDeployment
Labs
Hands-on practice tied to this path. See the labs page for how SkilTed practice feels.
Open labsWhat you will build
- 01Data pipeline
- 02Trained model
- 03Evaluation report
- 04Model deployment
AI integration
AI tutor and lab coaching help you understand failures and next steps — you still execute the work.
See how AI helpsCareer relevance
Projects and labs from this path become work you can present, explain, and take into interview preparation.