ARTIFICIAL INTELLIGENCE TRAINING COURSE

•   History Of AI
•  Demand For AI
•  What Is Artificial Intelligence?
•  AI Applications
•  Types Of AI
•  Programming Languages For AI
•  Introduction To Machine Learning
•  Need For Machine Learning
•  What Is Machine Learning?
•  Machine Learning Definitions
•  Machine Learning Process
•  Types Of Machine Learning
•  Supervised Learning
•   Unsupervised Learning
•  Reinforcement Learning
•  Supervised vs Unsupervised vs Reinforcement Learning

•  Types Of Problems Solved Using Machine Learning
•  Supervised Learning Algorithms
•  Linear Regression
•  Linear Regression Demo
•  Logistic Regression
•  Decision Tree
•  Random Forest
•   Naive Bayes
•  K Nearest Neighbour (KNN)
•  Support Vector Machine (SVM)
•  Demo (Classification Algorithms)
•  Unsupervised Learning Algorithms
•  K-means Clustering
•  Reinforcement Learning
•  AI vs Machine Learning vs Deep Learning
•  Limitations Of Machine Learning

•  Introduction To Deep Learning
•   How Deep Learning Works?
•  What Is Deep Learning?
•  Deep Learning Use Case
•  Single Layer Perceptron
•  Multi Layer Perceptron (ANN)
•  Backpropagation
•  Training A Neural Network
•  Limitations Of Feed Forward Network
•  Recurrent Neural Networks
•  Convolutional Neural Networks
•  Natural Language Processing
•  What Is Text Mining?
•  What Is NLP?
•  Applications Of NLP
•  Terminologies In NLP