Curriculum

Courses

Structured programs from Python fundamentals to shipping AI in production. Python Basics, NumPy, and Pandas are open now; more tracks are on the way.

Beginner
6–8 weeks

Python Basics

Core syntax, data structures, and tools you need before any ML work.

Modules

  • Introduction
  • Foundation
  • Data Structures
  • Control Flow and Logic
  • I/O
  • OOPs
Open course
Beginner
2–3 weeks

NumPy

ndarrays, vectorization, and numerical building blocks for models and Pandas.

Modules

  • Introduction to NumPy
  • Arrays in NumPy
  • Indexing & Slicing
  • NumPy Operations
  • Vectorization & Broadcasting
  • Linear Algebra with NumPy
  • NumPy for Data Science & ML
Open course
Beginner
2–3 weeks

Pandas

Series, DataFrames, and the table-shaped data workflows ML sits on top of.

Modules

  • Core objects
  • Practical workflows
Open course
Beginner
Coming soon
8–10 weeks

Mathematics for ML

Linear algebra, calculus, and probability tuned for model intuition.

Modules

  • Linear systems & matrices
  • Eigenvalues & decompositions
  • Multivariate calculus
  • Optimization for ML
  • Probability foundations
  • Distributions & expectations
  • Information & estimation

This track is not available yet — check back or request access via email.

Intermediate
Coming soon
8–10 weeks

Machine Learning Foundations

Supervised learning, generalization, and the classic algorithms behind modern ML.

Modules

  • Data, targets & risk
  • Linear & logistic models
  • Regularization & generalization
  • Tree-based methods
  • Ensembles & boosting
  • Unsupervised basics
  • Evaluation & model selection

This track is not available yet — check back or request access via email.

Intermediate
Coming soon
10–12 weeks

Deep Learning

Neural nets, backprop, CNNs, and sequence models in depth.

Modules

  • Neural net fundamentals
  • Autodiff & optimization
  • Convolutional networks
  • Sequence modeling
  • Attention mechanisms
  • Training at scale

This track is not available yet — check back or request access via email.

Advanced
Coming soon
8–10 weeks

NLP

Text representation, transformers, and applied language modeling.

Modules

  • Text as structured data
  • Classical NLP pipelines
  • Distributed representations
  • Sequence models for language
  • Transformers
  • Pre-training & adaptation
  • Applications & evaluation

This track is not available yet — check back or request access via email.

Advanced
Coming soon
6–8 weeks

Generative AI

Diffusion, GANs, and modern generative model practice.

Modules

  • Generative modeling overview
  • Autoregressive & latent models
  • GANs & VAEs
  • Diffusion fundamentals
  • Inference & control
  • Safety & alignment

This track is not available yet — check back or request access via email.

Advanced
Coming soon
8–10 weeks

MLOps

Ship, monitor, and version models reliably in production.

Modules

  • MLOps lifecycle
  • Experiment tracking
  • Model packaging & registries
  • Serving & APIs
  • Monitoring & drift
  • CI/CD for ML
  • Governance & reliability

This track is not available yet — check back or request access via email.

Advanced
Coming soon
6+ weeks

AI Projects

End-to-end capstones from problem framing to deployable systems.

Modules

  • Problem framing
  • Data strategy
  • Baseline to strong model
  • Iteration & error analysis
  • Deployment path
  • Documentation & ethics

This track is not available yet — check back or request access via email.

Request a new track