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

    • 2.4 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 Meeting Links

    • Session-1

    • Session-2

    • Session-3

    • Session-4

    • Session-5
  • 9

    Live Sessions Recordings

    • Session-1

    • Session-2

    • Session-3

    • Session-4

    • Session- 5

    • Project Live Sessions recordings
  • 10

    Internship Project -Fashion MNIST Data Classification

    • Fashion MNIST Data Classification

    • Deep learning project