AI & ML

Learning AI and ML help kids to think creatively, reason and have a solution-oriented mindset which is important at any age. Today’s world is run by data. Big Data is strongly prevalent and is only going to grow and AI and ML rely heavily on it. The future has more focus on automation, AI and ML and rightfully so, children are already prepared by the time they start to find jobs.

About This Course!

This course is ideal for kids age 12 or above who have some basic Programming knowledge in python. This course is offered in offline and online mode and Kids registered in this course will only require a laptop and a good internet connection to start learning. This course is divided into 3 main modules for easier understanding for students.

What you’ll learn!

Module 1

01

Beginner
Students are taken through the introduction parts of Artificial Intelligence. They learn about the basic concepts and some libraries. Ex: PIL, Numpy

02

Intermediate
Students will learn about some most popular concepts in AI such as the Computer Vision and Natural Language processing. Ex:- face similarity application, SMS spam detection

02

Advanced
The students will learn some more advanced concepts of ML and AI such as building chatbots and Recommender systems . Ex:Movie Recommender System, chatbots

04

Certification Project
In the end students will be assessed based on a certification project they build from scratch on their own Ex:-Face editing application, image cartoonifying, spam detection application etc.

Module 2

01

Beginner
Students will be introduced to the Core Machine Learning concepts such as Data Pre-Processing, supervised and unsupervised learning, They will be working on multiple Classification and Regression algorithms. Ex:Digit Recognizer, Titanic problem, House Price Prediction etc.

02

Intermediate
Students will learn more about the unsupervised Machine Learning like Clustering Applications, basic Deep Learning Applications and another AI concept Heuristic Searches. Ex:-Tripadvisor, Travelling salesman problem and Cifar10 object recognition.

03

Advanced
The students will learn some more advanced concepts of ML and AI such as Reinforcement Learning, AI gaming, Speech to text ect. Ex:Speech to text application, Tic-Tac-Toe Computer Player.

04

Certification Project
In the end students will be assessed based on a certification project they build from scratch on their own. Ex:- Image pixelation, voice based chat-bot.

Module 3

01

Beginner
Students are taken through the introduction parts of Deep learning and data argumentation. Ex: Image argumentation, handwritten equation solver using CNN.

02

Intermediate
Students will learn about some most popular concepts and network structures under deep learning. Ex:- face mask detection, Canny edge detection, image stitching.

03

Advanced
The students will go through some advanced applications under computer vision. Ex: object detection,music genre classification.

04

Certification Project
In the end students will be assessed based on a certification project they build from scratch on their own Ex:- ALEXA like Jarvis, sign language recognition system etc. Images

Student Projects

Student Project

Inventothon-22 - Submission - Shaili Dutta
Inventothon-22 - Submission - Ananya Srivastava

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