Artificial Intelligence is one of the top new skills to learn and apply. Some experts suggest that we will rewrite the majority of applications to include components of artificial intelligence in the coming years.
We have more platforms for learning and practical labs than ever before. Given these “MOOC” platforms have been available for a number of years, it is sometimes difficult to find appropriate content that is not “marchitecture.”
According to Kaggle’s 2020 “State of Data Science and Machine Learning Survey”, 63% of data scientists look to Coursera for ongoing education, while 35% use Udemy and 30% use DataCamp.
I wanted to share my favorite and meaty forums to learn, apply, and practice AI.
Engaging, knowledgeable instructors
Use free, open-source programming languages and libraries Python, R, or Pytorch, Tensorflow, etc.
Contain programming assignments for practice and hands-on experience
Clear explanation of algorithms, techniques, math
Artificial Intelligence A-Z: Learn How to Build an AI (Udemy)
ColumbiaX’s Artificial Intelligence MicroMasters Program (edX)
Google AI Education
The Beginner’s Guide to Artificial Intelligence in Unity (Udemy)
fast.ai courses – Deep Learning for Coders, Foundations, Data Ethics, Linear Algebra, Natural Language Processing
Machine Learning by Stanford University (Coursera)
Deep Learning Specialization by Andrew Ng (Coursera)
IBM Applied AI Professional Certificate (Coursera)
AI for Everyone by Andrew Ng (Coursera)
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)
Do you have other recommendations? Please share!
In my next post, I will be sharing AI certifications.
By Jeff Daniels, Ph.D.
Keywords: AI, Cloud, IoT