Artificial Intelligence and Machine Learning 

Module 1: Python for AI and ML
Python Basics
Introduction
Variable Declaration
Conditional Construct
Function
Array Manipulation
Working with List , Tuples and dictionaries
Exception Handling
Event processing with Threading
Introduction of tkinter library
Working with widgets
Connectivity with PyMysql using Python .
Python OOP
Classes and Object
Inheritance and Overriding
Encapsulation
File Handling
Introduction to NumPy
Pandas
Data Pre-processing
Data Manipulation
Data Loading using Difference Storage
Data Joining
Data Visualization
Introductions of matplotlib
Defining Charts and plots
Introduction of Figure Class
Data Visualization using Seaborne
Data Science

Module 2: Predictive Analytics
Statistical Foundations
Exploratory Data Analysis (EDA)
Probability
Inferential Statistics
Regression- Linear Regression
Regression- Logistic Regression
Advance Logistic Regression

Module 3 Machine Learning
Introduction to Machine Learning
What is Machine Learning?
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OpenCV Library
Scikit Learn Library
Linear Regression Algorithm
Decision Tree
Random Forest
Supervised Learning - Classification I
Regression Analysis open
link Linear Regression Simple Linear Regression
Multiple Linear
Regression Backward Elimination
Polynomial Regression
Supervised Learning - Classification II
Model Selection and Boosting
Unsupervised Learning
Dimensionality Reduction
Association Rules Mining & Recommendation Systems

Module 4: Deep Learning
Introduction to Deep Learning
Introduction of natural Network
Getting Started with TensorFlow 2.0
Convolutional Neural Network
Regional CNN
Boltzmann Machine & Autoencoder
Generative Adversarial Network
Emotion and Gender Detection
YOLO Object Detection

Module 5: Sequential Learning
Introduction to Sequence Learning

Name Entity Recognition using CRF
RNN and GRU
LSTM
Auto Image Captioning
Machine Translation

Module 6: Reinforcement Learning
Introduction to Reinforcement Learning
Bandit Algorithms and Markov Decision Process
Dynamic Programming & Temporal Difference Learning methods
Deep Q Learning