Courses

Full course catalog

Every course belongs to a bundle. Browse all 14 courses here, or explore bundles by track.

Beginner

20 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Mathematics for machine learning

Linear algebra, calculus, and geometry that make gradients, losses, and high-dimensional data intuitive.

Beginner

18 hours
Online

Curriculum ties topics to primary sources in the syllabus.

probability and statistics

Distributions, estimation, and uncertainty—how models reason about data and noise.

Beginner

16 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Data Analysis for ML/AI

Exploratory analysis, feature thinking, and data quality for downstream modeling.

Beginner

18 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Machine Learning

Supervised learning, classical models, evaluation, and when simple methods win.

Intermediate

22 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Deep Learning

Networks, training dynamics, and core architectures from MLPs to modern building blocks.

Intermediate

20 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Computer Vision

Images, convolutions, detection, segmentation, and pretrained vision pipelines.

Intermediate

16 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Artificial Intelligence

Search, knowledge, planning, and how today’s ML fits the wider AI landscape.

Advanced

24 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Important Research paper and their explanations

Read and unpack influential papers—method, intuition, and what changed in practice.

Intermediate

14 hours
Online

Curriculum ties topics to primary sources in the syllabus.

AI Tools and their Integrations

Modern tooling stacks, APIs, and wiring models into real workflows safely.

Advanced

18 hours
Online

Curriculum ties topics to primary sources in the syllabus.

AI Agents

Agents, tools, memory, and patterns for reliable autonomous and semi-autonomous systems.

Intermediate

20 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Natural language processing

Tokenization, embeddings, sequence models, and NLP tasks end to end.

Intermediate

22 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Large Language Models

Transformers at scale, prompting, fine-tuning, and responsible LLM applications.

Advanced

18 hours
Online

Curriculum ties topics to primary sources in the syllabus.

MLOPs

Versioning, CI/CD for ML, serving, monitoring, and operating models in production.

Beginner

36 hours
Online

Curriculum ties topics to primary sources in the syllabus.

Python and Fast API

Full beginner-to-practice Python path for AI engineers: taught in syllabus order—from setup and syntax through numbers, collections, iterators, advanced functions, files and errors, object-oriented patterns, typing, the standard library, HTTP/FastAPI serving, concurrency, pytest, and packaging. Lessons use detailed explanations plus runnable in-browser examples.