[Image of the Human male brain courtesy of Kritrim Vault. https://www.youtube.com/watch?v=HgmQe-HXP9w]

I think it’s important to begin to learn more about A.I. so I have built on the excellent list provided by Robbie Allen. Much thanks to him for his initial work. If you have additional suggestions on either the organization of this content or other important items to add, please let me know.

GENERAL BROAD OVERVIEWS (TV)

COMPREHENSIVE EXEC/ENGINEER PROGRAMS

Executive Education Programs

Engineering Programs

  • EdX / Micro-masters Program in AI from Columbia University. 1 yr at 8-10h/week = 470h. $896.
  • Coursera IBM AI Engineering Professional Certificate. 2 months. Coursera. 6 courses included covering ML with Python, Apache Spark, DL & NN with Keras, DNN with PyTorch, DL with TensorFlow and Capstone Project.
  • EdX / IBM Professional Certificate in Deep Learning. 84 h (7 months at 2-4h/week). $495 USD.
  • edX / Columbia / Artificial Intelligence (AI) program for practitioners. 12 wks, 8-10h/week = 110-120h. Includes content on History, agents, heuristic search, adversarial search, constraint satisfaction, ML Basics, ML Advanced, Neural networks, SVMs, decision trees, unsuperviised learning, Markov decision procsses and reinforcement learning, NLP, Vision/Robotics.
  • Deep Learning Nanodegree / Udacity/ AWS / Facebook. 4mo, 12h/week = 192h. Includes intro, Neural networks, convolutional neural networks, recurrent neural networks, generative adversarial networks. sentiment analysis models.
  • Deep Learning Online Course Udacity. AWS. Facebook. 4 mo, 12h/week = 192h. Pre-reqs include Python, NumPy, and pandas, calculus, linear algebra. Includes intro to neural networkks, convolutional neural networks, reecurrent neural networks, generative adversarial networks, and sentiment analysis.
  • Deep Learning Specialization Deeplearning.ai / Coursera. Andrew Ng. 3 mo. 11h/week = 132h. Includes courses on NN / DL, improving DNN; Structuring ML projects, Convolutional NNs, and Sequence models.
  • Deep Reinforcement Learning Nanodegree. Udacity with Unity, NVIDIA. 4mo at 10-15h/week = 192h. Includes courses on Reinforcement learning, value based methods, policy based methods, and multi-agent reinforcement Learning.
  • Intro to Machine Learning with Pytorch Course. Udacity w/ Kaggle, AWS. 3 mo at 10h/week = 120h. Includes courses on supervised, deep, and unsupervised learning.
  • Introduction to Machine Learning with TensorFlow. Udacity/Kaggle/AWS. 3 mo at 10h/week. Req Intermediate Python skills. Includes courses on supervised Learning, Deep Learning, Unsupervised Learning.
  • Become a Machine Learning Engineer. Udacity. Kaggle. AWS. 3 mo at 10h/week.= 120h. Pre-reqs: Int Python and ML algorithms. Includes info on software engineering fundamentals, ML in production, ML case studies, ML capstone project.

SPECIFIC EDUCATIONAL INSTITUTION PAGES:

Articles and Videos

All

AI history and timelines

Ethics

AI and consciousness

Autonomous Vehicles

Deep Learning

Computer Brain interface

Regulation

AI Careers

Social structure

Work

Universal Basic Income

SPECIFIC COURSES/SESSIONS

Overview/Introduction courses

Business

Executive Leadership Programs.

Applications and Use Cases

Technical

NLP

Machine Learning

Deep Learning

Skills/Functions

Advanced

Key People / Content

Lex Fridman - MIT: https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA

Elon Musk: https://www.youtube.com/results?search_query=elon+musk+artificial+intelligence

Dr. Kai-Fu Lee

Andrew Ng:

VENDORS

AWS

Overview of the AI/ML Porfolio of services

Definitions

Principles & Best Practices

Concepts

Specific services

Sagemaker

Other

GOOGLE

Overviews

Philosophy

Technical

MICROSOFT

Overview

Introductions

Technical

Professional Program in Artificial Intelligence

NVIDIA

TESLA

General

Training Data Volume

This is one post in a larger series of articles on AI. Please follow along and comment. Any errors or omissions are most likely mine