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
Limited time offer. Hurry!
- 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
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
Limited time offer. Hurry!
- 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
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
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
Module fee
- 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
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
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
Module fee
- 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
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
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
Module fee
- 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
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