Courses

AI engineer path

Everything this catalogue has for a AI engineer, in one place. Courses from YouTube, split into lessons and checked by hand so every video actually plays.

free courses
33free courses
lessons
479lessons
hours of video
316hours of video
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What you'll learn

  1. Complete Deep Learning Course

    by Sheryians AI School

    This playlist is all about making Deep Learning simple and fun to learn. We’ll go step by step, starting from the basics of neural networks and slowly moving in

    4 lessons · 14h 10m

    Course content

  2. AI & Machine Learning Prereqs 🧠

    by Bro Code

    Prerequisites for AI & machine learning

    4 lessons · 4h

    Course content

  3. MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

    by MIT OpenCourseWare

    Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for understanding and creating machine learn

    36 lessons · 28h 9m

    Course content

The skills that matter most

Course 1

Complete Deep Learning Course

Complete Deep Learning Course

This playlist is all about making Deep Learning simple and fun to learn. We’ll go step by step, starting from the basics

by Sheryians AI School

Free4 lessons14h 10mBeginner

Content covered

  1. 01Deep Learning Complete Course | Part 1| ANN implementation.4h 21m
  2. 02Deep Learning Complete Course | Part 2| CNN implementation.1h 55m
  3. 03Deep Learning Complete Course | Part 3| RNN implementation.4h 3m
  4. 04Deep Learning Complete Course | Part 4 | Transformers & Attention Mechanism Completely Explained3h 52m

Course 2

AI & Machine Learning Prereqs 🧠

AI & Machine Learning Prereqs 🧠

Prerequisites for AI & machine learning

by Bro Code

Free4 lessons4hIntermediate

Content covered

  1. 05Learn Python in 1 hour! 🐍1h
  2. 06Learn NumPy in 1 hour! 🔢1h
  3. 07Learn Pandas in 1 hour! 🐼1h
  4. 08Learn Matplotlib in 1 hour! 📊1h

Course 3

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for

by MIT OpenCourseWare

Free36 lessons28h 9mAdvanced

Content covered

  1. 09Course Introduction of 18.065 by Professor Strang7m
  2. 10An Interview with Gilbert Strang on Teaching Matrix Methods in Data Analysis, Signal Processing,...8m
  3. 11Lecture 1: The Column Space of A Contains All Vectors Ax52m
  4. 12Lecture 2: Multiplying and Factoring Matrices48m
  5. 133. Orthonormal Columns in Q Give Q'Q = I49m
  6. 144. Eigenvalues and Eigenvectors49m
  7. 155. Positive Definite and Semidefinite Matrices45m

29 more lessons

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