Machine Learning & Data Science Bootcamp: https://links.zerotomastery.io/egor-MLDS-June25
All Courses: https://links.zerotomastery.io/egor-courses-June25
Career Path Quiz: https://links.zerotomastery.io/egor-CPQuiz-June25

How to learn machine learning: https://www.youtube.com/watch?v=JAWSqX2fBvQ&t=53s

Video transcript: https://towardsdatascience.com/best-ai-books-courses-to-get-a-job/

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RESOURCES MENTIONED
Learn Python — Full Course for Beginners : https://www.youtube.com/watch?v=rfscVS0vtbw&t=2907s
Python for Everybody Specialization : https://www.coursera.org/specializations/python
Neetcode: https://neetcode.io/
CS50: Introduction to Computer Science: https://pll.harvard.edu/course/cs50-introduction-computer-science
Practical Statistics for Data Science: https://amzn.to/4n2i4Io
Mathematics for Machine Learning: https://amzn.to/406r7hD
Mathematics for Machine Learning and Data Science Specialization : https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/
Hands-On ML with Scikit-Learn, Keras, and TensorFlow: https://amzn.to/4l4veCZ
Machine Learning Specialisation: https://www.coursera.org/specializations/machine-learning-introduction
The Hundred-Page ML Book: https://amzn.to/3FNAzzN
The Elements of Statistical Learning: https://amzn.to/4e3b89R
Deep Learning Specialization: https://www.deeplearning.ai/courses/deep-learning-specialization/
Hands-On Large Language Models: https://amzn.to/4kGW0ld
Practical MLOps: https://amzn.to/44hTn3q
AI Engineering: https://amzn.to/3Zy737M
Pytorch tutorials: https://www.youtube.com/playlist?list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz
Introduction to LLMs: https://www.youtube.com/watch?v=zjkBMFhNj_g&t=3065s

TIMESTAMPS
0:00 Intro
0:22 Programming and software engineering
3:16 Maths and statistics
5:38 Machine learning
10:55 Deep learning and LLMs
14:12 AI Engineering

DISCLAIMERS & DISCLOSURES
This content is for educational and entertainment purposes and does not constitute professional advice. Opinions are my own. Some links are affiliate links that support the channel at no extra cost to you.

Thanks to Zero To Mastery for sponsoring this video.

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A comprehensive guide to learning AI and machine learning through structured resources rather than random courses. Covers five key areas: programming fundamentals with Python, mathematics and statistics foundations, traditional machine learning concepts, deep learning and LLMs, and AI engineering for production deployment. Emphasizes practical application over theoretical study, recommending specific books like 'Hands-On ML with Scikit-Learn and TensorFlow' and courses like Andrew Ng's specializations. Highlights the importance of understanding both foundational concepts and modern deployment practices for current AI engineering roles.

STOP Taking Random AI Courses - Read These Books Instead

<p>STOP taking random AI courses - Read these RANDOM Books instead</p>
