AWS Certified Machine Learning Speciality which required a completion of a total of 13 underlying courses. (Summary of the courses can be found on the Resume and certificates can be shown on demand)

The Machine Learning nanodegree covered Supervised Learning (Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, SVM and Ensemble Methods), Unsupervised Learning (Clustering - Hierarchial and Density based, GMM and Cluster validation, Dimensionality reduction and PCA, Random Projection and ICA) and Deep Learning.

This professional AI certificate was a result of completing 6 underlying courses offered by IBM which revolved around the use of IBM Watson for various AI applications.

This course offered by University of Michigan provided an in-depth coverage of basics of Python which was critical in the upcoming years of coding for various projects and coursework over the years.