2021

Here you will find a number of modules and components for introducing you to AI-First Engineering.

Big Data Applications are an important topic that have impact in academia and industry.


Introduction to AI-Driven Digital Transformation

Last Semester’s Introductory Lecture with introduction to and Motivation for Big Data Applications and Analytics Class. See section G for material directly related to this lass but all sections are relevant

AI-First Engineering Cybertraining Spring 2021

Updated On an ongoing Basis

Introduction to AI in Health and Medicine

This section discusses the health and medicine sector

Mobility (Industry)

This section discusses the mobility in Industry

Space and Energy

This section discusses the space and energy.

AI In Banking

This section discusses AI in Banking

Cloud Computing

Cloud Computing

Transportation Systems

This section discusses the transportation systems

Commerce

This section discusses Commerce

Python Warm Up

Python Exercise on Google Colab

Distributed Training for MNIST

Distributed Training for MNIST

MLP + LSTM with MNIST on Google Colab

MLP + LSTM with MNIST on Google Colab

MNIST Classification on Google Colab

MNIST Classification on Google Colab

MNIST With PyTorch

MNIST With PyTorch

MNIST-AutoEncoder Classification on Google Colab

MNIST with AutoEncoder: Classification on Google Colab

MNIST-CNN Classification on Google Colab

MNIST with Convolutional Neural Networks: Classification on Google Colab

MNIST-LSTM Classification on Google Colab

MNIST-LSTM Classification on Google Colab

MNIST-MLP Classification on Google Colab

MNIST-MLP Classification on Google Colab

MNIST-RMM Classification on Google Colab

MNIST with Recurrent Neural Networks: Classification on Google Colab

Last modified June 17, 2021 : add aliasses (6b7beab5)