MOOCs

Contains all the data regarding the MOOCs that I have personally studied.

Course List

S No.	Course	Faculty	Certificates	Skills
1.	Neural Networks and Deep Learning	Andrew Ng	3G94WMR432EK	Deep Learning from Scratch, TensorFlow
2.	Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization	Andrew Ng	Z659SG7D22SG	Hyperparameter Tuning, DL
3.	Structuring Machine Learning Projects	Andrew Ng	4KWP4593LP53	Managing DL/ML Projects
4.	Convolutional Neural Networks	Andrew Ng	V8N6SVNRZS2J	CNNs, Architectures, Different ConvNet Architectures
5.	Sequence Models	Andrew Ng	G8GZ7ZJFJCUQ	NLP(Natural Language Processing), LSTMs(Long Short-Term Memory) Networks, RNNs(Recurrent Neural Networks)
6.	Deep Learning Specialization	Andrew Ng	WXBN3CDY3J33	Comprises of the courses listed above from 1-5
6.	Secure and Private AI	Andrew Trask		Pytorch, Differential Privacy
7.	Cryptography 1	Dan Boneh
8.	Pytorch Tutorials	Soumith Chintala	Audit
9.	AWS DeepRacer Scholarship		Incomplete	AWS SageMaker, AWS RoboMAker, Reinforcement Learning
10.	TensorFlow in Practice Specialization	Laurence Moroney		TensorFlow, Keras
11.	Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning	Laurence Moroney		TensorFlow, Keras, CNN
12.	Convolutional Neural Networks in TensorFlow	Laurence Moroney		TensorFlow, Keras, CNN
13.	Practical Reinforcement Learning	Alexander Panin		Open AI Gym, RL
14.	Full Stack Deep Learning	Pieter Abbeel, Josh Tobin	No Certificate	Shipping DL Projects
15.	AI for Healthcare		Nanodegree	Healthcare Niche