Steinbeis University School of Management and Innovation Campus - Diploma in Artificial Intelligence (AI) 

offered by ExcelR

Module 1 - Introduction to Machine Learning and AI
ML and AI introduction
Applications of ML and AI

Module 2 -Programming
Basic Programming
NLP Libraries - Spacy & Gensim
OpenCV & Tensorflow, Keras

Module 3 - Math foundation
Sampling & Sampling Statistics
Inferential Stats : Hypothesis Testing
Derivatives
Optimization

Module 4 - Machine Learning and Ensemble Methods
Unsupervised K-Means & Hierarichal Clustering
Linear Regression
Logistic Regression
Train,Test & Validation Distribution

Module 5 - Intro to Neural Network & Deep Learning Intro
Deep Learning Importance [Strength & Limiltation]
SP | MLP
Neural Network Overview 
Neural Network Representation
Activation Function

Module 6 - Parameter & Hyperparameter
Train, Test & Validation Set
Vanishing & Exploding Gradient
Dropout

Module 7 - Computer Vision
Image preprocessing
Advanced CNN concepts -1
Advanced CNN concepts -2

Module 8 -Speech Analytics
Speech Processing
Introduction, Automated Speech Recognition (ASR) 
text to speech conversion, voice assistant devices, building alexa slkills