Guided Learning

Learning Paths

Structured journeys designed to take you from foundational concepts to practical expertise. Learn at your own pace.

AI Fundamentals

8-12 weeksBeginner to Advanced

Build a solid foundation in artificial intelligence, from basic concepts to advanced applications. Learn machine learning, neural networks, and deep learning from world-class educators.

Path Overview

Resources39

Topics4

Duration8-12 weeks

LevelBeginner to Advanced

Topics Covered

Machine Learning

Neural Networks

Deep Learning

LLMs

Recommended Resources

View All

Course

Beginner

Machine Learning Specialization

Stanford University / Coursera

The definitive introduction to machine learning by the co-founder of Google Brain. This updated 2022 course covers supervised learning, unsupervised learning, and best practices used in Silicon Valley.

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Course

Beginner

Machine Learning Crash Course

Google Developers

Google's fast-paced, practical introduction to machine learning with TensorFlow APIs. Features interactive visualizations, video lectures, and hands-on coding exercises.

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Course

Intermediate

Practical Deep Learning for Coders

fast.ai

A top-down approach to deep learning that gets you building state-of-the-art models immediately. Uses PyTorch and the fastai library.

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Course

Advanced

CS229: Machine Learning

Stanford University

Stanford's famous graduate-level machine learning course. More mathematically rigorous than the Coursera version, covering the theoretical foundations of ML algorithms.

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Video Series

Beginner

StatQuest Machine Learning Playlist

YouTube

Clear, visual explanations of machine learning concepts with memorable songs and animations. Covers everything from linear regression to XGBoost.

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Video Series

Beginner

Neural Networks Series

YouTube

Beautiful visual explanations of how neural networks learn, including gradient descent and backpropagation. Uses stunning animations to build intuition.

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