PG in Artificial Intelligence

PG in Artificial Intelligence

Syllabus

MODULE 0

Preparatory Session
  • Introduction to Python coding
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Deep Learning
  • Natural Language Processing

MODULE 1

Python Programming
  • What is programming?
  • Compiler Interpreter
  • Source Code
  • Machine code
  • Python Basics
  • Data Structures in Python
  • Object Oriented Programming

MODULE 2

MySQL Database
  • Introduction to SQL
  • SQL Database
  • Data Definition Language
  • Data Manipulation Language
  • Mysql Functions and Joins
  • Mysql Subqueries
  • Mysql Stored Procedures and Triggers

MODULE 3

Probability , Linear Algebra
Random process& Statistics
  • Basics of Probability, Probability theory and its applications in AI
  • Descriptive and inferential statistics, Permutations , Combinations, Conditional probability, Random variables, distributions, Statistics, Estimation, independent events, Bayes' rule, probability density function, mean, median, mode, Standard deviation, correlation, correlation coefficient, Bias, Variance Testing of hypothesis, confidence interval, Chi-squared test, t-test.

MODULE 4

Data Science
  • Introduction To Data And Data Science
  • Data Modelling
  • Data Visualization (Charts, Graphs, Tables ) Using Data Science Libraries Numpy , Pandas , Matplotlib , Scipy, Tableau , Power Bi, Data Analytics

MODULE 5

Machine Learning
  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

MODULE 6

OpenCV
  • Introduction to OpenCV, OpenCV features , Gray Scale / Blur Image / Edge Detect, Dilation & Eroding, Resize, Crop Image, Draw, Identify Shapers and Texts, joining images, identification, Detection, Recognition techniques in the image and video world.

MODULE 7

Deep Learning
  • Introduction to Neural Networks and Deep Learning
  • Neural Networks Architecture
  • DNN ANN CNN RNN
  • DL Libraries - Keras, Tensorflow, Perceptron

MODULE 8

NLP (Natural Language Processing)
  • How Chatbot works? Introduction to NLP, Tokenization, Stemming, Lemmatizing, chunking, Entity Recognition and Extraction, word Embedding, Text Mining and develop a Chabot NLTK Library

Tools Covered

Numpy
Pandas
SciPY
Keras
Python
MySQL
PowerBI
TensorFlow
Tableau
Seaborn
Pytorch
ChatGPT
Scikit

Enroll Now in Our Cutting-edge PG Program in
Artificial Intelligence!

At our institution, you’ll learn from industry experts and top-notch academics, gaining hands-on experience with state-of-the-art tools and technologies. Whether you’re a tech enthusiast, an aspiring data scientist, or a business professional aiming to harness the power of AI, our tailored curriculum caters to all levels of expertise.