SwayamCourses

Curated learning paths and bite-sized tracks to level up your AI/ML skills. Start with a track, follow the outline, and practice with included datasets.

Featured Tracks

Practice in SwayamML
Intro to Machine Learning
Supervised vs. unsupervised, data prep, model selection, evaluation.
View outline
Practical NLP
Text cleaning, embeddings, classification, similarity, and sentiment.
View outline
Data Visualization Essentials
EDA, feature understanding, chart literacy, and storytelling.
View outline
Time Series 101
Decomposition, forecasting basics, seasonality, and evaluation.
View outline
MLOps Basics
Artifacts, metrics, packaging, and simple deployment workflows.
View outline

Browse by level

Beginner
  • Python for Data
  • Intro to ML
  • Data Cleaning
Intermediate
  • Feature Engineering
  • Model Selection
  • Practical NLP
Advanced
  • Vector Search & RAG
  • Agents & Tool Use
  • Deployment Patterns