Artificial Intelligence for Children

Learn AI and Data Science, in small group classes led by Industry Professionals.

Designed for Grades 8 - 12 Students

No Coding Experience Required

Understand AI and its exciting applications

What is AI for Kids?

Artificial intelligence is changing the world at a breakthrough speed.

Let’s have our children be at the forefront of this revolution by making them understand the technology and its exciting applications in our everyday lives!

Advantage ExperiHub

Interactive program with live classroom sessions

Fun-filled curriculum with lots of practical projects & applications

Certificate & projects to show the tech prowess at the time of university application.

Best of teachers & mentors from the industry

Upcoming Programs

Artificial Intelligence for Beginners
Complete Program in Artificial Intelligence

For Grades 8 - 12

4 sessions | 2 weeks | 6 hours

Conducted online in small groups

Laptop with internet connectivity required

Objectives

The objective of this program is to understand and appreciate Artificial Intelligence and its application in our lives.

This program focuses on:

Helping children understand the world of Artificial Intelligence and its applications through games, activities, and multi-sensorial learning.
Introducing the learners to three domains of AI.
Helping learners to engage through interactive participation and hands-on activities.
Introducing the learners to AI Project Cycle to appreciate how projects are undertaken in the industry.
Introducing the learners to programming skills using Basic python coding language.

Learning Outcomes

Learners will be able to:

Identify and appreciate Artificial Intelligence and describe its applications in daily life.
Identify and apply the three domains of AI: Data, Computer Vision and Natural Language Processing. Undergo assessment for the acquired AI-Readiness skills.
Research and develop awareness of skills required for jobs of the future.
Gain awareness about AI bias and AI access and describe the potential ethical considerations of AI.
Understand the AI Project Cycle framework.
Learn problem scoping and ways to set goals for an AI project and understand the iterative nature of problem scoping in the AI project cycle.
Identify the kind of data required and the kind of analysis to be done, and find reliable sources to obtain relevant data.
Use various types of graphs to visualize acquired data.
Understand, create and implement the concept of Decision Trees.
Understand and visualize computer’s ability to identify alphabets and handwritings.
Understand and appreciate the concept of Neural Network through gamification and learn basic programming skills through gamified platforms.
Acquire introductory Python programming skills in a very user-friendly format.

Artificial Intelligence for Beginners

2 weeks | 4 sessions | 6 hours

The Artificial Intelligence curriculum hopes to inspire AI-readiness. At the end of this program you will get a deep understanding of AI, access to AI-powered tools and the ability to create solutions with AI.

What we will cover

Intro to AI

Appreciating AI and describing its applications
The 3 domains demonstrated with games
Visualizing the future in the age of AI
AI Ethics and AI Bias

Project Lifecycle

Understanding Scoping, Data Acquisition, Exploration, Modelling & Evaluation.

Trying AI with No-Code Platforms

Try various no-code platforms

Project

Try AI on various platforms from Google and Microsoft

~~Rs1440~~ Rs720 (50% off)

Start learning and take your skills to the next level.

For Grades 8 - 12

4 modules | 4 weeks each

Conducted online in small groups

Laptop with internet connectivity required

Objectives

The objective of this program is to understand and appreciate Artificial Intelligence and its application in our lives.

This program focuses on:

Helping children understand the world of Artificial Intelligence and its applications through games, activities, and multi-sensorial learning.
Introducing the learners to three domains of AI.
Helping learners to engage through interactive participation and hands-on activities.
Introducing the learners to AI Project Cycle to appreciate how projects are undertaken in the industry.
Introducing the learners to programming skills using Basic python coding language.

Learning Outcomes

Learners will be able to:

Identify and appreciate Artificial Intelligence and describe its applications in daily life.
Identify and apply the three domains of AI: Data, Computer Vision and Natural Language Processing. Undergo assessment for the acquired AI-Readiness skills.
Research and develop awareness of skills required for jobs of the future.
Gain awareness about AI bias and AI access and describe the potential ethical considerations of AI.
Understand the AI Project Cycle framework.
Learn problem scoping and ways to set goals for an AI project and understand the iterative nature of problem scoping in the AI project cycle.
Identify the kind of data required and the kind of analysis to be done, and find reliable sources to obtain relevant data.
Use various types of graphs to visualize acquired data.
Understand, create and implement the concept of Decision Trees.
Understand and visualize computer’s ability to identify alphabets and handwritings.
Understand and appreciate the concept of Neural Network through gamification and learn basic programming skills through gamified platforms.
Acquire introductory Python programming skills in a very user-friendly format.

Module 1
Module 2
Module 3
Module 4

Module 1: Introduction to Artificial Intelligence

4 weeks | 8 sessions | 12 hours

What we will cover

Intro to AI

Appreciating AI and describing its applications
The 3 domains demonstrated with games
Visualizing the future in the age of AI
AI Ethics and AI Bias

Project Lifecycle

Understanding Scoping, Data Acquisition, Exploration, Modelling & Evaluation.

Trying AI with No-Code Platforms

Try various no-code platforms

Project

Try AI on various platforms from Google and Microsoft

~~₹ 7200~~ ₹ 720 (90% off)

Start learning and take your skills to the next level.

Module 2: Domain - Data Science

4 weeks | 8 sessions | 12 hours | Module 1 knowledge required

What we will cover

Data Science

How do machines learn?
Training vs. Testing data
Interpreting the results of ML – what does it really mean?
Recommendation systems – how they work

Statistics/ Algorithms

Decision Trees, Regression, CNN, etc.
Understanding Neural Networks through games
Reinforcement Learning

Basic Python

Introduction to programming using gaming portals like Code Combat
Simple problem-solving exercises
Python Lists

Project

Book Recommendation

₹ 7200

Start learning and take your skills to the next level

Module 3: Domain - Computer Vision

4 weeks | 8 sessions | 12 hours | Module 2 knowledge required

What we will cover

Computer Vision

Define the concept of Computer Vision and understand its applications in various fields.
Understand the basic concepts of image representation, feature extraction, object detection, and segmentation.

Algorithms

Use Python libraries such as OpenCV for basic image processing and computer vision tasks.
Understand the basic architecture of a CNN and its applications in computer vision and image recognition.
Learn about the Text Normalization technique used in NLP and popular NLP model – Bag-of-Words

Python (Advanced)

Understand to work with Jupyter Notebook, creating virtual environment, installing Python Packages.
Able to write basic Python programs using fundamental concepts such as variables, data types, operators, and control structures.
Able to use Python built-in functions and libraries.

Project

Face Recognition/ X-Ray images classification

₹ 7200

Start learning and take your skills to the next level

Module 4: Domain - Natural Language Processing

4 weeks | 8 sessions | 12 hours | Module 3 knowledge required

What we will cover

Natural Language Processing (NLP)

Understand the concept of Natural Language Processing (NLP) and its importance in the field of Artificial Intelligence (AI).
Explore the various applications of NLP in everyday life, such as chatbots, sentiment analysis, and automatic summarization
Gain an understanding of the challenges involved in understanding human language by machine.

Algorithms

Use Python libraries such as OpenCV for basic image processing and computer vision tasks.
Understand the basic architecture of a CNN and its applications in computer vision and image recognition.
Learn about the Text Normalization technique used in NLP and popular NLP model – Bag-of-Words

Python (Advanced)

Understand to work with Jupyter Notebook, creating virtual environment, installing Python Packages.
Able to write basic Python programs using fundamental concepts such as variables, data types, operators, and control structures.
Able to use Python built-in functions and libraries.

Project

Chatbot

₹ 7200

Start learning and take your skills to the next level

What You Get!

Certificate

Project Portfolio

Readiness for Colleges & Industry

Try AI on various platforms from Google and Microsoft

Book Recommendation

Face Recognition/ X-Ray images classification

Make your own Chatbot

The image is for illustrative purposes only. The actual certificate may be subject to change at the discretion of Experihub Learning LLP

Start your AI journey

Refer a Friend

Bring a friend & both of you get a discount of Rs 200 each!

Artificial Intelligence for Children | Experihub Learning