Artificial Intelligence Challenge - condensed version

After compiling the Artificial Intelligence Challenge I realized that I'm not interested in completing the whole program. I also want to get a deeper understanding of AI and ML than what reading a couple of 'for Dummies' books will give me. To do this I will have to learn some foundational material: Python and Linear Algebra.

My plan is to do the following Artificial Intelligence Challenge - condensed version::

PHASE 1 (5 weeks @8-10hrs/wk)

1. Python: view the YouTube videos (11hrs)
2. Linear Algebra: read the 2 internet pages and complete the first 8 lessons of Essence of Linear Algebra (4hrs)
3. Artificial Intelligence: read the 3 internet pages (3hrs), watch YouTube videos (1hr), and read AI for dummies (5hrs) - TOTAL 9hrs
4. Machine Language: Read the 3 internet pages (2hrs), watch YouTube videos (2hrs), and read ML for dummies (7hrs) - TOTAL 11hrs
5. Deep Learning: Read the 3 internet pages (1hr), watch YouTube videos (2hrs), and read Deep Learning: A Visual Approach (7hrs) - TOTAL 10hrs

PHASE 2 (7 weeks @8-10hrs/week)

1. Python: read Python Crash Course (10hrs) and complete Udemy: Python from Beginner to Intermediate in (1hr) - TOTAL 11hrs
2. Linear Algebra: complete Coursera: Mathematics for Machine Learning: Linear Algebra (19hrs)
3. Artificial Intelligence: Coursera: AI for Everyone (12hrs)
4. Machine Language: Coursera: Machine Learning for All (22hrs)
5. Deep Learning: edX/IBM: Deep Learning Fundamentals with Keras (20hrs)

Based on this my target completion is the end on 2022. At that time I'll determine if I've achieved the level of understanding I want.

Resources for Learning AI, ML, DL
SUBJECT	Internet	YouTube	Book	Online Course
Python	Python for Beginners	Learn Python - Full Course for Beginners [Tutorial]	Python crash course: a hands-on, project-based introduction to programming	Udemy: Python from Beginner to Intermediate in 30 min.
	Best Way to Learn Python in 2022 (Free and Paid Python Tutorials)	Python Tutorial - Python Full Course for Beginners	Automate the boring stuff with Python: practical programming for total beginners	Coursera: Python for Everybody Specialization
Linear Algebra	What is linear algebra (LibreTexts:Mathematics Mar 2021)	Essence of Linear Algebra	Linear Algebra and Its Applications by David Lay 5th Edition	Mathematics for Machine Learning: Linear Algebra
	A Gentle Introduction to Linear Algebra (MachineLearningMastery Aug 2019)
Artificial Intelligence	Oracle: What is AI?	Artificial Intelligence in 5 minutes	AI for Dummies by John Paul Mueller, Luca Massaron (2021)	Coursera: AI for Everyone (Beginner 12 hrs)
	IBM Cloud Education (June 2020)	Artificial intelligence and algorithms: pros and cons	Life 3.0: Being Human in the Age of Artifiucial Intelligence by Max Tegmarck (2017)	IBM: Introduction to AI (Beginner 11 hrs)
	Stanford: Artificial Intelligence		Superintelligence: Paths, Dangers, Strategies by Nick Bolstrom 2016	edX: AI for Everyone: Master the Basics (Beginner 8 hrs)
Machine Learning	Machine Learning Explained in 3 minutes (2017)	Computer Scientist Explains Machine Learning in 5 Levels of Difficulty	Machine Learning for Dummies by John Paul Mueller, Luca Massaron (2016)	Coursera: Machine Learning for All (Beginner 22hrs)
	MIT: Machine learning, explained by Sara Brown (Apr 2021)	Machine Learning: Living in the Age of AI | A WIRED Film	Machine Learning by Tom M. Mitchell (1997 Internet Archives)	IBM: Machine Learning with Python: A Practical Introduction (30 hrs)
	MathWorks: What Is Machine Learning? How it works, why it matters, and getting started	Machine Learning & Artificial Intelligence: Crash Course Computer Science #34	Machine Learning using Python by U Dinesh Kumar	Stanford: Machine Learning Specialization (3 courses, 3 mns@9 hrs/wk)
Deep Learning	Deep Learning by: IBM Cloud Education (May 2020)	Deep Learning In 5 Minutes	Deep Learning A Visual Approach by Phenix40 (2021 Internet Archives)	Coursera: Introduction to Deep Learning (Intermediate 60Hrs)
	MathWorks: What Is Deep Learning? 3 things you need to know		Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python	edX/IBM: Deep Learning Fundamentals with Keras (20hrs)
	What is Deep Learning? by Jason Brownlee on Aug 2020	Neural Networks (the first 2 videos address deep learning)	Neural Networks and Deep Learning by Michael Nielsen (Dec 2019)	Deep Learning Specialization (5 courses, 5 mns@9 hrs/wk)