Courses

Course Summary

Lesson 1 - Intro to Scratch Programming Language

  • Creating Scratch Account

  • Learn how to create a New File

  • Add Controls to your program

  • Learn about events

  • Practice Exercise

Lesson 2 - Learn Controls

  • Adding & Deleting Sprites

  • If Statements

  • User Interaction

  • Drawing with Pen

  • Practice Exercise

Lesson 3 - Learn Interactions

  • Creating Custom Backdrops

  • if..else Statements

  • Sensing Colors

  • Reacting to Keyword Events

  • Practice Exercise

Lesson 4 - Art!

  • Custom Blocks

  • Create Art

  • Sending Message

  • User Input

  • Variables

  • Practice Exercise

Lesson 5 - Creating our own Scratch Game

  • Develop Game in Scratch

Lesson 1 - Intro to Python

  • Writing Hello, World!

  • Data & Variables

  • User Input

  • Data Types

Lesson 2 - Operators, Loops & Decision Making

  • Arithmetic Operators

  • Relational Operators

  • Logical Operators

  • Decision Making/Conditions

  • Loops (for & while)

Lesson 3 - String Handling

  • String Formatting

  • String Handling

  • Methods

Lesson 4 - Data Structure in Python

  • List

  • Dictionaries

  • Sets

  • Tuple

Lesson 5 - Classes & Objects

  • Class

  • Objects

  • Accessing Object Variable

  • Accessing Object Functions

Lesson 1 - Introduction to Artificial Intelligence and Machine Learning

  • What is AI & ML

  • Different categories of AI

  • What is Regression & Classification

  • What is Linear Regression

Lesson 2 - Linear Regression

  • Revisit the "Linear Regression" Machine Learning model

  • Code a Linear Regression Model

  • Learn about the applications of Linear Regression

Lesson 3 - Apprehend the Turing Test

  • Apprehend the Turing Test

  • Code a Logistic Regression Model

  • Learn about the applications of Logistic Regression

Lesson 4 - Logistic Regression Machine Learning Model

  • Review Logistic Regression Machine Learning Model

  • Apprehend another Machine Learning model known as Neural Networks

  • Learn about the applications of Neural Networks

  • Understand about forwarding and backpropagation in Neural Networks