Course curriculum

  • 1

    E- Learning Content

    • Chapter 1 - Introduction to Artificial Intelligence

  • 2

    Chapter-2

    • 2.1 Introduction to Python

    • 2.2 Introduction to Python Programming

    • 2.3 Basis of Python Programming

    • 2.4 Python Programming - 1

    • 2.5 Python Programming - 2

  • 3

    Chapter-3

    • 3.1 Introduction to Matplotlib

    • 3.2 Matplotlib Plots

    • 3.3 Matplotlib Styles - 1

    • 3.4 Matplotlib Styles - 2

    • 3.5 Matplotlib Plots Variants

  • 4

    Chapter -4

    • 4.1 Introduction to Numpy

    • 4.2 Numpy Types

    • 4.3 Numpy Arrays

    • 4.4 Numpy Array Attributes

    • 4.5 Numpy Math

    • 4.6 Numpy Operations

  • 5

    Chapter -5

    • 5.1 Introduction to Pandas

    • 5.2 Pandas Reading Data

    • 5.3 Pandas Dataman - 1

    • 5.4 Pandas Dataman - 2

    • 5.5 Pandas Dataman - 3

  • 6

    Chapter-6

    • 6.1 Introduction to Machine Learning_UnSupervised Learning

  • 7

    Chapter-7

    • 7 Introduction to Tensorflow

    • 7.1 Introduction to Keras

    • 7.2 Clustering

    • 7.3 Introduction to Deep Learning

    • 7.4 Natural Language Processing

    • 7.5 Reinforcement Machine Learning

  • 8

    Live Session

    • First Live Session- Jun 25, 2022 08:00 PM

    • 2nd Live Session- un 26, 2022 08:00 PM

    • 3rd Live Session- Jun 27, 2022 08:00 PM

    • 4th Live Session- Jun 28, 2022 08:00 PM

    • 5th live Session-Jun 29, 2022 08:00 PM

  • 9

    Live Sessions Recordings

    • 1st -Session- 25-06-2022

    • 2nd - Session- 26-06-2022

    • 3rd Session- 27-06-2022

    • 4th Session-28-06-2022

    • 5th Session- 29-06-2022

  • 10

    Class Notes

    • Introduction and Basic Setup

    • Python basics 1

    • Python basics -2

    • Python basics -3

    • Python basics -4

    • Python -basic-5

    • Introductions to AI

    • DEEP LEARNING-1

    • Pandas_matplot_pdf

  • 11

    Major project

    • Major Project

    • Major project- The following files are provided