Hands-on Introduction to Artificial Intelligence (AI)

Fundamental concepts of Artificial Intelligence
Be able to identify the positive and the negative impact that AI will create
Clearly define what AI and Deep Learning
Test Feed Forward Neural Networks(Classification and Regression) on Tensor Flow simulator and Google Colab
Test Natural Language Processing (NLP) models using IBM Watson
Build Convolutional Neural Network(CNN) on IBM Watson for MNIST and CIFAR 10 Datasets (No coding)
Build Supervised and Unsupervised Machine learning Models using IBM Watson (No coding)
Test Recurrent Neural Network (RNN) on Mathworks

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