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

Here is where you can go to learn more about Artificial Intelligence (AI) and Machine Learning (ML)

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.

  • 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).

  • 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