AI Program for School Kids
The AI Program for School Kids offers an engaging, hands-on curriculum that introduces children aged 8 to 14 to the exciting world of artificial intelligence through interactive projects and coding activities.
Course Details
From: Tech Learniversity
Start Day: Coming Soon
Project Duration: 120 Hours
Get in Touch with Tech Learniversity
Call us directly or email us!
AI Program for School Kids
The AI Program for School Kids is a comprehensive 5-level curriculum designed to introduce young learners to the world of Artificial Intelligence through engaging activities and hands-on projects. Spanning 120 sessions, the program covers topics from basic coding with Scratch to advanced concepts like machine learning and natural language processing, culminating in a capstone project that showcases students’ skills and creativity.
Course Overview
The AI Program for School Kids is a structured 5-level curriculum designed to ignite curiosity about Artificial Intelligence (AI) in young learners through engaging, hands-on activities. Spanning 120 sessions, this program covers foundational concepts in coding and AI, including machine learning, natural language processing, and computer vision, culminating in a capstone project that allows students to showcase their skills and creativity.
Course Type
The AI Program for School Kids is categorized as an online instructor-led, project-based course. This format allows students to engage actively in learning through hands-on activities and collaborative projects, ensuring they gain practical experience while exploring various aspects of Artificial Intelligence over the 120 sessions provided in the curriculum.
Course Objectives
- Spark Curiosity About AI: Ignite interest in Artificial Intelligence from a young age, encouraging exploration and creativity.
- Build Hands-On Skills: Develop coding and AI project skills progressively through engaging activities and mini-projects.
- Teach Responsible AI Practices: Instill understanding of ethics, fairness, and safety in AI applications to foster responsible usage.
- Enhance Problem-Solving and Creativity: Cultivate critical thinking, problem-solving abilities, and creative approaches to challenges using AI tools.
- Prepare for Future Careers: Equip students with foundational knowledge and skills necessary for advanced studies or careers in the evolving field of Artificial Intelligence.
Duration
120 Hours
Requirements
Age Group: The program is designed for school kids, typically ranging from ages 8 to 14.
Basic Computer Skills: Students should have a basic understanding of how to use computers and navigate online platforms.
Internet Access: Reliable internet access is necessary to participate in the online instructor-led sessions and complete assignments.
Software Requirements: Students may need to install specific software such as Python IDEs (e.g., Thonny or Google Colab) and access tools like Scratch and Teachable Machine.
Parental Consent: For younger participants, parental consent may be required to enroll in the program and participate in online activities.
Commitment to Learning: A willingness to engage with course materials, complete projects, and collaborate with peers throughout the program’s duration is essential.
Pre-requisites
Age Requirement: Participants should generally be between 8 to 14 years old.
Basic Computer Proficiency: Students must have foundational computer skills, including navigating online platforms and using basic applications.
Internet Connectivity: A stable internet connection is essential for attending online classes and accessing course materials.
Software Installation: Required software such as Python IDEs (e.g., Thonny or Google Colab) and tools like Scratch and Teachable Machine should be installed on their devices prior to starting the program.
Parental Consent: For younger students, parental permission may be necessary to enroll in the program and participate in online activities.
Willingness to Learn: An eagerness to engage with course content, complete projects, collaborate with peers, and actively participate throughout the program’s duration is important.
Target Audience
Age Group: The program primarily targets school kids aged 8 to 14 years, fostering early interest in technology and AI.
Parents and Guardians: Adults seeking educational opportunities for their children in coding and artificial intelligence to enhance their learning experience.
Educators: Teachers looking to incorporate innovative AI curriculum into their classrooms or extracurricular activities.
Tech Enthusiasts: Young learners who are curious about technology, coding, and how AI impacts everyday life.
Future Innovators: Students interested in pursuing careers in STEM fields, particularly those related to artificial intelligence and computer science.
Career and Future Prospects
Foundational Skills Development: The program equips students with essential skills in coding, machine learning, natural language processing, and computer vision. These foundational skills are increasingly in demand across various industries.
Growing Job Market: According to recent reports, careers in Artificial Intelligence and data science are among the fastest-growing fields. For instance, roles such as AI specialists, data analysts, and machine learning engineers are projected to see significant growth over the next decade.
Diverse Career Paths: Students who complete this program can pursue a variety of career paths including but not limited to:
- Artificial Intelligence Specialist
- Data Scientist
- Machine Learning Engineer
- Software Developer
- Robotics Engineer
Preparation for Advanced Studies: The program also prepares students for higher education in STEM fields (Science, Technology, Engineering, and Mathematics), particularly those focused on technology and innovation.
Future-Proofing Careers: As industries continue to evolve with advancements in technology, having a background in AI will provide students with a competitive edge in the job market.
Ethical Considerations: Understanding responsible AI practices instills a sense of ethics that is crucial for future professionals working within this rapidly evolving field.
Projects
Designation/Title
Graduates of this program typically pursue roles such as:
– Junior Business Analyst
– Business Analyst
– Senior Business Analyst
– Business Intelligence Analyst (with additional BI skillset)
– Business Solutions Architect
– Product Owner (in Agile environments)
Projects
Hands-on projects are embedded in each module:
1. Enterprise Analysis
– Conduct a SWOT and PESTLE assessment for a hypothetical expansion project.
– Develop a vision statement and business case with cost-benefit and risk analysis.
2. Requirements Elicitation & Documentation
– Perform interviews and workshops (role-play scenarios) to gather user requirements.
– Document findings using use cases, user stories, and BPMN diagrams.
3. Modeling & Design Definition
– Create AS-IS and TO-BE process models in Visio or Lucidchart.
– Draft wireframes/mockups in Figma illustrating proposed UI changes.
4. Solution Evaluation
– Use a root cause analysis (Ishikawa diagram) to propose corrective measures.
– Develop and execute a UAT plan for sample requirements in Jira.
5. SQL & Data Visualization
– Basic SQL queries to retrieve and update test data.
– Build a simple Power BI or Tableau dashboard for a mock project.
6. Capstone Project
– Consolidate all phases—from requirements and process modeling to testing and solution evaluation—on a real or simulated business problem.
– Present a coherent analysis, solution blueprint, and final recommendations.
Salary
₹5 LPA – ₹12 LPA
$65,000 – $95,000
CA$60,000 – CA$90,000
£35,000 – £55,000
AU$70,000 – AU$100,000
Mini Projects at Each Level: At the end of each level, students engage in mini-projects that allow them to apply what they’ve learned. These projects reinforce concepts and provide hands-on experience with AI tools.
Capstone Project: The program culminates in a capstone project where students work collaboratively to brainstorm, design, develop, and present an AI application. This comprehensive project integrates skills from all previous levels and showcases their understanding of artificial intelligence.
Project-Based Learning Approach: Each session includes practical activities and projects that encourage creativity and problem-solving while ensuring that students can relate theoretical knowledge to real-world applications.
Diverse Topics for Projects:
- AI-based Games: Creating simple games using Scratch or Python.
- Machine Learning Models: Developing models for tasks such as image recognition or sentiment analysis.
- Natural Language Processing Applications: Building chatbots or text classifiers.
- Computer Vision Projects: Implementing projects that involve image classification or face detection.
Collaboration & Presentation Skills: Students work in groups on projects, fostering teamwork and communication skills. They also present their projects at the end of each level, enhancing their public speaking abilities.
Portfolio Development: Throughout the program, completed projects contribute to a portfolio that students can showcase in future educational endeavors or career opportunities.
Features
Structured Curriculum: The program consists of 5 levels, each with a total of 24 sessions, providing a comprehensive and progressive learning experience in Artificial Intelligence.
Hands-On Learning: Emphasizes project-based activities and mini-projects at the end of each level to reinforce concepts through practical application.
Diverse Topics Covered: Includes foundational topics such as coding with Scratch, Python programming, machine learning applications, natural language processing (NLP), computer vision, IoT, cloud AI tools, and generative AI.
Capstone Project: Culminates in a capstone showcase where students present their group projects, allowing them to demonstrate their knowledge and skills acquired throughout the program.
Engaging Teaching Methods: Utilizes storytelling, interactive games, and real-world case studies to make learning enjoyable and relatable for young learners.
Ethics in AI Education: Incorporates discussions on responsible AI practices to ensure students understand ethical considerations associated with technology use.
Certification of Completion: Students receive certificates upon completing each level as well as recognition for their capstone projects, enhancing their educational credentials.
Online Instructor-Led Format: Delivered through an online platform led by experienced instructors who facilitate learning and provide support throughout the course duration.
Benefits
Comprehensive Learning Experience: Students gain a thorough understanding of Artificial Intelligence concepts, coding, and practical applications through a structured curriculum.
Hands-On Projects: Engaging in hands-on activities and mini-projects helps reinforce learning and allows students to apply theoretical knowledge in real-world scenarios.
Skill Development: Participants develop critical skills such as problem-solving, creativity, teamwork, and effective communication through collaborative projects.
Portfolio Creation: By completing various projects throughout the program, students build a portfolio that showcases their skills and achievements to future educators or employers.
Ethical Awareness: The program emphasizes responsible AI practices, teaching students about ethics, fairness, and safety in technology use.
Certification Opportunities: Students receive certificates upon completion of each level, providing recognition of their accomplishments that can enhance their academic profiles.
Preparation for Future Careers: Exposure to AI technologies prepares students for potential careers in STEM fields while fostering an interest in further studies related to technology and innovation.
Interactive Learning Environment: The online instructor-led format promotes interaction with peers and instructors, creating a supportive community for learning and collaboration.
Increased Curiosity About Technology: The engaging curriculum sparks curiosity about how technology works and its impact on daily life, encouraging lifelong learning.
Future-Ready Skills: By acquiring foundational knowledge in AI at an early age, students position themselves advantageously for future educational opportunities and career paths within the tech industry.
The Results
Batch Details
Curriculum
- Introduction – What is AI? (everyday examples)
- AI Around Us – Mobile, games, shopping
- History of AI – Storytelling with timeline
- Types of AI – Narrow, General, Super AI
- What is Data? (numbers, text, images)
- Classroom Data Activity – Collecting examples
- How Computers Think – Algorithms explained simply
- Activity: “If-Else” decision game
- AI in Daily Life – Healthcare, education, transport
- Demo: Google Teachable Machine intro
- Hands-on: Train model (image recognition)
- Hands-on: Train model (sounds/gestures)
- Scratch Introduction – Block coding basics
- Scratch Activity – AI-based storytelling
- Scratch Mini Project – Guess the Animal game
- Play AI Pictionary – Google QuickDraw
- Fun Activity: AI riddles & puzzles
- AI and Games – Pacman, Chess, Tic-Tac-Toe
- Ethics in AI – Good vs bad AI
- Case Studies – AI in real-world use
- Activity: Role-play “AI Robot Teacher”
- Mini Project Work (choose topic)
- Project Presentations (Level 1)
- Recap + Quiz + Certificates for Level 1
- What is Python? Why for AI?
- Installing Python & IDEs (Colab/Thonny)
- First Program – Print statements
- Variables & Data Types
- Input/Output in Python
- Operators & Expressions
- If-Else conditions
- Loops (for, while)
- Lists – Basics & practice
- Strings – Basics & practice
- Functions – Simple examples
- Activity: Simple Calculator program
- Activity: Rock-Paper-Scissors (Python)
- Activity: Number Guessing Game
- Intro to AI datasets
- Collecting and cleaning small datasets
- Activity: Word Counter in Python
- Activity: Chatbot (rule-based, if-else)
- What is Machine Learning? (story-based)
- Train a model in Teachable Machine (images)
- Train a model in Teachable Machine (sounds)
- Hands-on: Python + Teachable Machine integration
- Mini Project Work
- Project Presentations (Level 2)
- Recap of Python & ML
- Machine Learning Overview – Applications
- Supervised Learning explained
- Hands-on: Classification (cats vs dogs)
- Hands-on: Regression (predict marks)
- Unsupervised Learning explained
- Hands-on: Clustering activity
- Reinforcement Learning explained (games)
- Neural Networks – Visual explanation
- Hands-on: Build simple NN with TensorFlow Playground
- Activity: AI Quiz Bot (Python)
- Sentiment Analysis intro
- Hands-on: Sentiment analysis of sentences
- Hands-on: Movie reviews dataset (positive/negative)
- AI Bias – Why fairness matters
- Case Studies – AI in health, education, transport
- Hands-on: Text Classification (spam/ham)
- Hands-on: Recommendation System (songs)
- Mini Project Brainstorm
- Project Work – Part 1
- Project Work – Part 2
- Project Testing
- Project Presentation (Level 3)
- Recap + Quiz
- Recap of ML basics
- What is NLP? (Intro with examples)
- Hands-on: Word Frequency Counter
- Hands-on: Simple Sentiment Analysis
- NLP in Chatbots
- Computer Vision – How machines see
- Hands-on: Image Classification (Python)
- Hands-on: Face Detection (OpenCV basics)
- AI in IoT – Smart homes, cars
- AI in Robotics – Examples
- AI on Cloud – Google Colab basics
- Cloud AI Tools (Google Vision, Azure AI)
- Hands-on: Image recognition on cloud
- Hands-on: Speech recognition API
- AI for Social Good – Case Studies
- Ethics & Privacy in AI
- Hands-on: Smart Assistant (Python voice commands)
- Hands-on: Image Drawing with AI tool
- Mini Project Brainstorm
- Project Work – Part 1
- Project Work – Part 2
- Project Testing
- Project Presentations
- Recap + Quiz
- Recap of Levels 1–4
- What is Generative AI? (ChatGPT, DALL·E)
- Hands-on: Fun with ChatGPT (text prompts)
- Hands-on: Fun with DALL·E (image prompts)
- Generative AI use cases
- Responsible AI – Security, privacy
- AI & Future Careers
- Capstone Project Brainstorming
- Project Work – Idea Finalization
- Project Work – Dataset Collection
- Project Work – Data Cleaning
- Project Work – Model Selection
- Project Work – Training the Model
- Project Work – Testing the Model
- Project Work – Integration (Python + AI model)
- Project Work – Frontend (basic UI)
- Project Work – Debugging
- Project Work – Improvement
- Capstone Report Writing
- Project Work – Presentation Prep
- Project Presentations – Group 1
- Project Presentations – Group 2
- Reflection & Feedback
- Grand Showcase + Certification
Certification of Completion
Tech Learniversity is proud to uphold ISO 9001:2015 Certified Quality Management System standards, reflecting our strong commitment to excellence and continual improvement. By adhering to globally recognized best practices, we deliver courses and services with consistent quality, reliability, and transparency.
Our QMS framework ensures that every training module—whether in AI Program for Kids—follows meticulous processes for development, review, and learner support.
Ultimately, this certification demonstrates our pledge to meet and exceed the expectations of students and industry partners, cultivating trust and long-term success in all our educational offerings.
Quality Education from Quality People
Choose Tech Learniversity for quality education from industry experts committed to empowering your success. Embark on a transformative educational journey with Tech Learniversity and unlock your potential for a brighter future. Together, we can create meaningful experiences that inspire growth, collaboration, and success!
“
What Our Students Say?
More than 99% students satisfaction is our success.
Course Questions
Explore common questions about the course.
What types of courses does Tech Learniversity offer?
How do I enroll in a course?
Are there any prerequisites for the courses?
What is the duration of the courses?
Do you offer job placement assistance?
Can I attend workshops and events?
Is financial aid available?
How can I contact Tech Learniversity for further questions?
What is the learning format of the courses?
How do I provide feedback on my learning experience?
Services Questions
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin tincidunt tellus
What skills will I gain from the bootcamp?
How does the job guarantee program work?
What types of career-enhancing courses do you offer?
What is included in the Career Pro X program?
How does the Elevate X program benefit my professional growth?
What is the format of the Engage X program?
What certifications can I prepare for through your courses?
What educational resources do you provide for school students?
How can Tech Learniversity support college students?
What types of courses are available for university students?
What specialized training does your institute offer?
How can Tech Learniversity assist corporate training needs?
What types of workshops can I expect?
How does the customized 1 to 1 training work?
What is included in the customized group training programs?
What does the interview preparation course entail?
Didn’t Find the Answer? Ask us Questions
Call us directly or email us!
Frequently Asked Questions
What age group is the AI Program designed for?
What skills will my child develop through this program?
Is prior experience in coding required to enroll in the program?
How is the program structured?
Get in Touch with Tech Learniversity!
Build Your Career with Tech Learniversity!
