IBM-AI-Engineering-Professional

AI Engineering Professional Certificate by IBM

This is the IBM AI Engineering Specialization on Coursera. Also on EdX as Deep Learning Professional Certificate

1. Machine Learning with Python

* Regression (Simple, Multiple Linear, Polynomial, Non-Linear)
* KNN, Decision Trees, Logistic Regression, SVM
* K-Means, Hierarchical Clustering, DBSCN
* Recommender Systems (Content-based, Collaborative Filtering)

2. Introduction to Deep Learning & Neural Networks with Keras

* Forward Propagation
* Regression and Classification with Keras
* Convolutional Neural Network with Keras

3. Introduction to Computer Vision and Image Processing

*  Introduction to Computer Vision, Image Processing with OpenCV and PIL
* Machine Learning Image Classification
* Neural Networks and Deep Learning for Image Classification
* Object Detection
* Traffic Sign Classification

4. Deep Neural Networks with PyTorch

* Tensors, Derivatives, Datasets and Transforms in Pytorch
* Linear Regression, SGD, Mini-batch Gradient Descent, Train/Test/Val in Pytorch
* Multiple LR, Logistic Regression, Initialization, Cross Entropy
* Softmax, Multiple Neurons, Activation Functions
* Deep Neural Networks, ModuleList, Dropout, Initialization types and Batch Normalization
* CNN with MNIST experiment

5. Building Deep Learning Models with TensorFlow

* Eager Execution, Linear and Logistic Regression with TensorFlow
* CNN with MNIST dataset
* LSTMs and Language Modelling
* RBMs and Autoencoders

6. AI Capstone Project with Deep Learning

* Load and Preprocess Data
* Train Linear Classifier
* Resnet-18, train and validate