Course curriculum

  • 1

    Student Guide Book

    • Introduction Video

    • Student Guide Book

    • Curriculum

    • Know Your Trainer!

  • 2

    AI - Learning materials

    • 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

    • FORWARD PROPAGATION_pdf

    • BACK PROPAGATION_pdf

    • PYTHON_Assignment

    • Introductions to AI

    • DEEP LEARNING-1

    • Classification with Keras

    • Regression with keras

    • OPENCV

    • opencv (1)

    • CNN FOR FASHION MNIST

  • 3

    Zoom live session Link

    • AI- Industrial Training-Feb 7, 2022 08:00 PM

    • AI- Industrial Training - Feb 8, 2022 08:00 PM

    • AI- Industrial Training- Feb 13, 2022 07:00 PM

    • AI- Industrial Training- Feb 15, 2022 08:00 PM

    • AI- Industrial Training- Feb 15, 2022 08:00 PM

    • AI- Industrial Training- Feb 24, 2022 08:00 PM

    • AI- Industrial Training - Feb 25, 2022 08:00 PM

    • AI- Industrial Training- Feb 26, 2022 08:00 PM

    • AI- Industrial Training- Mar 4, 2022 08:00 PM

    • AI- Industrial Training - Mar 5, 2022 07:00 PM- Canceleld

    • AI- Industrial Training - Mar 6, 2022 07:00 PM

    • AI- Industrial Training- Mar 11, 2022 08:00 PM

    • AI- Industrial Training - Mar 12, 2022 07:00 PM

    • AI- Industrial Training- Mar 13, 2022 07:00 PM

    • AI- Industrial Training- Mar 18, 2022 08:00 PM

    • AI- Industrial Training- Mar 19, 2022 07:00 PM

    • AI- Industrial Training- Mar 20, 2022 08:00 PM

  • 4

    Recorded Session

    • AI- Session 1-05-02-2022

    • AI- Session 2- 06-02-2022

    • AI- Session 3- 07-02-2022

    • AI- Session 4 -08-02-2022

    • AI- Session-5-13-02-2022

    • AI- Session 6-15-02-2022

    • AI- Session 7- 24-02-2022

    • AI- Session 8- 26-02-2022

    • AI- Session 9- 26-02-2022

    • AI- Session 10-04-03-2022

    • AI- Session- 11- 06-03-2022

    • AI- Session 12-11-03-2022

    • AI Session- 13- 12-03-2022

    • AI- Session -14- 13-03-2022

    • AI- Session 15 - 18-03-2022

    • AI- Session 16- 19-03-2022

    • AI- Session 17- 20-03-2022

  • 5

    Project/ Assignments Submission

    • Assignment Submissions

    • Major Project

    • Major project- The following files are provided

  • 6

    Orientation Meeting recordings- 22-05-2022

    • Orientation Meeting recordings- 22-05-2022

  • 7

    MTA Content

    • MTA Program Objectives

  • 8

    Module 1: Installing and Starting Python

    • 1.1: Overview

    • 1.2: Installing Python

    • 1.3: Interactive Python

    • 1.4: Significant Whitespace

    • 1.5: Python Culture

    • 1.6: The Python Standard Library

    • 1.7: Summary

    • Installing and Starting Python Slides

  • 9

    Module 2: Scalar Types, Operators and Control Flows

    • 2.1: Overview

    • 2.2: Relational Operators

    • 2.3: Control Flow

    • 2.4: While Loops

    • 2.5: Summary

    • Scalar Type Operators and Control Flow Slides

  • 10

    Module 3: Introducing Strings, Collections and Iterations

    • 3.1: Overview

    • 3.2: String

    • 3.3: String Literals

    • 3.4: Bytes

    • 3.5: List

    • 3.6: Dictionary

    • 3.7: For Loop

    • 3.8: Putting It All Together

    • 3.9: Summary

    • Introducing Strings, Collections and Iterations Slide

  • 11

    Module 4: Modularity

    • 4.1: Overview

    • 4.2: Modules

    • 4.3: Functions

    • 4.4: Name

    • 4.5: The Execution Model

    • 4.6: Command Line Arguments

    • 4.7: Docstrings

    • 4.8: Comments

    • 4.9: Shebang

    • 4.10: Summary

    • Modularity Slides

  • 12

    Module 5: Objects and Types

    • 5.1: Overview

    • 5.2: Passing Arguments and Returning Values

    • 5.3: Function Arguments

    • 5.4: Python's Type System

    • 5.5: Scopes

    • 5.6: Everything is an Object

    • 5.7: Summary

    • Objects and Types

  • 13

    Module 6: Built-in Collections

    • 6.1: Overview

    • 6.2: Tuples

    • 6.3: Strings

    • 6.4: Ranges

    • 6.5: Lists

    • 6.6: Dictionaries

    • 6.7: Sets

    • 6.8: Protocols

    • 6.9: Summary

    • Built-in Collections Slides

    • Codes for Built-in Collections

  • 14

    Module 7: Exceptions

    • 7.1: Overview

    • 7.2: Exceptions and Control Flow

    • 7.3: Handling Exceptions

    • 7.4: Exceptions and Programmer Errors

    • 7.5: Re-raising Exceptions

    • 7.6: Exceptions and Part of the API

    • 7.8: Avoid Explicit Type Checks

    • 7.9: It's Easier to Ask Forgiveness Than Permission

    • 7.10: Cleanup Actions

    • 7.11: Platform Specific Code

    • 7.12: Summary

    • Exceptions Slide

  • 15

    Module 8: Iterations and Iterables

    • 8.1 Overview

    • 8.2: List and Set Comprehensions

    • 8.3: Dictionary Comprehensions

    • 8.4: Filtering Comprehensions

    • 8.5: Iteration Protocols

    • 8.6: Generator Functions

    • 8.7: Maintaining State in Generators

    • 8.8: Laziness and the Infinite

    • 8.9: Generator Expressions

    • 8.10: Iteration Tools

    • 8.11: Summary

    • Iteration and Iterables Slides

  • 16

    Module 9: Classes

    • 9.1: Overview

    • 9.2: Classes

    • 9.3: Defining Classes

    • 9.4: Instance Methods

    • 9.5: Instance Initializers

    • 9.6: A Second Class

    • 9.7: Collaborating Classes

    • 9.8: Booking Seats

    • 9.9: Methods for Implementation Details

    • 9.10: Object Oriented Design with Function Objects

    • 9.11: Polymorphism and Duck Typing

    • 9.12: Inheritance and Implementation Sharing

    • 9.13: Summary

    • Classes Slides

  • 17

    Module 10: File IO and Resource Managements

    • 10.1: Overview

    • 10.2: Opening Files

    • 10.3: Writing Text

    • 10.4: Reading Text

    • 10.5: Appending Text

    • 10.6: Iterating Over Files

    • 10.7: Closing Files with Finally

    • 10.8: With Blocks

    • 10.9: Binary Files

    • 10.10: Bitwise Operators

    • 10.11: Pixel Data

    • 10.12: Reading Binary Data

    • 10.13: File-like Objects

    • 10.14: Context Manager

    • 10.15: Summary

    • IO and Resource Managements Slide