Certificate in Computer Application & Artificial Intelligence
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From curious learner to confident AI creator — skills that build careers, not just marks.
Eudoxia Research Centre — Mumbai | Guwahati, India
A unit of the Eudoxia Group of Companies
Prof. Dr. Pratisha Kumari
One Program, Class 3 to 12: Think, Create, Build
Artificial Intelligence is no longer a subject of the future — it is the language of the present. CCAI 2026 by Eudoxia Research Centre turns everyday exposure to AI into real, demonstrable skill. Built on four pillars, it grows with the learner from Class 3 to Class 12 in two age-appropriate sections — so every child learns to think computationally, create with Generative AI, direct AI agents and build a portfolio that proves it.
“Our children should not grow up asking what AI will do to them. They should grow up deciding what they will do with AI. CCAI 2026 is designed so that a ten-year-old can train a model, a fifteen-year-old can build a tested AI app, and every learner understands why ethics matters as much as code. At Eudoxia we measure education by what students can create — and in this program, every class ends with something made.”
Prof. Dr. Pratisha Kumari · Program Director, CCAI 2026 · Eudoxia Research Centre, Mumbai & Guwahati, IndiaWhy Now?
- CBSE focus on AI. The CBSE 2026-27 CT & AI Framework brings Computational Thinking and AI into school classrooms.
- Competency-based exams. Students must apply, not memorise — exactly what CCAI practises every class.
- Agents are here. AI is moving from answering questions to taking actions. Learners need to understand and guide it.
- Skills pay. Early, hands-on AI skills build confidence and a head start for higher studies and careers.
AI Fluency
Learners use, train, create with and direct real AI — from Teachable Machine and NotebookLM to local models and supervised agents. Generative & Agentic AI.
Thinking Skills
Computational thinking, logic, problem solving and critical checking of AI outputs come before every tool.
Outcome-Based Education
Every class ends with something made. Learning is measured by what students can do, make and explain.
Skills for Earning
A portfolio of real work and industry tools builds the skills that lead to internships, projects, startups and careers.
A Typical Computer Class vs CCAI 2026
| A typical computer class | CCAI 2026 | |
|---|---|---|
| Role of the learner | ✕ Learns to use software | ✓ Learns to train, create with and direct AI |
| Tools | ✕ One office suite | ✓ 25+ real AI, coding and open-source platforms |
| Learning evidence | ✕ Written test | ✓ Portfolio, badges, tested projects and a Demo Day pitch |
| Future focus | ✕ Today's applications | ✓ Generative AI, AI agents, responsible innovation and career skills |
From Learning to Earning: Class 3 to 12
Outcome-Based Education (OBE) means every class, paper and capstone is planned backwards from a visible outcome — a model, a story, a dashboard, an app or an agent.
Curiosity, logic and computational thinking through games, stories and first AI models.
Build with Generative AI, train models, design chatbots and publish a first portfolio.
Data, Python, research with AI and app prototypes for real school problems.
Agents, retrieval, tested AI apps and a GitHub portfolio ready for internships and startups.
How Every Class Delivers an Outcome
Define
Each paper starts with a clear, measurable outcome and a real problem.
Do
70% hands-on activity on real AI platforms — learners build, not just listen.
Demonstrate
Every class adds evidence: a model, prompt log, chart, app or agent.
Document
Work is curated in an AI Portfolio, assessed and certified.
Earning-Ready Skills Learners Build
Prompt engineering & AI content
Clear prompts, AI-assisted writing, design, music and presentations.
Data analysis & dashboards
Spreadsheets, Python, Pandas and charts that turn data into decisions.
Machine learning & vision
Train, test and compare models; understand bias and accuracy.
AI agents & automation
Supervised agents and workflows with tools, logs and human approval.
App prototyping
Figma, Streamlit and local models to build usable AI applications.
Pitching & entrepreneurship
Problem framing, Demo Day pitches and innovation mindset.
Competitions & hackathons
Capstones are mentored toward science fairs, hackathons and innovation challenges.
Internships & projects
Class 11–12 builders graduate with a GitHub portfolio for internships and project work.
Freelance-ready skills
AI content, data and app skills that, at the right age, open doors to paid digital work.
Startups, studies & careers
Pitch practice for future founders; a base for CS, AI, Data Science, design and research; early exposure to tools used by AI engineers, analysts and creators.
CCAI builds skills and evidence of ability; it does not promise employment or income. Any paid work by learners follows applicable law, platform age terms and parent or guardian consent.
Two Sections. One Standard of Excellence.
Offered by Eudoxia Research Centre, Mumbai & Guwahati, India — a unit of the Eudoxia Group of Companies.
| Section A · Class 3 – 8 | Section B · Class 9 – 12 | |
|---|---|---|
| Program | Certificate in Computer Application and Artificial Intelligence (CCAI 2026) | Certificate in Computer Application and Artificial Intelligence (CCAI 2026) |
| Learners | Class 3 – 8 (CBSE) · AI Explorers (3–5) · AI Architects (6–8) | Class 9 – 12 (CBSE) · Explorer (9–10) · Builder (11–12) |
| Duration | 6 months · 48 classes · 8 per month | 6 months · 48 classes · 8 per month |
| Class length | 60 minutes | 90 minutes (72 contact hours + about 48 practice hours) |
| Mode | Hybrid Blended — Live Online + Physical Classroom + Recorded Class Access | Hybrid Blended — Live Online + Physical Classroom + Recorded Class Access |
| Live / Physical | 26 live online · 22 physical | 24 live online · 24 physical (4 + 4 every month) |
| Structure | 6 Papers + 1 Capstone Project | 5 Papers + 1 Capstone (CCAI 101 – 106) |
| Learning objectives | LO1 Application of Generative AI · LO2 Utilization of Agentic AI | |
| Credential | CCAI 2026 Certificate issued by Eudoxia Research Centre + digital skill badges + personal AI Portfolio | |
Two Core Learning Objectives
Application of Generative AI
- Write clear, structured prompts with context, examples and constraints
- Create stories, images, music, videos, presentations and code with AI as co-creator
- Research with NotebookLM and verify sources, facts and originality
- Build and evaluate small generative and multimodal AI applications
Utilization of Agentic AI
- Explain how an AI agent senses, thinks, acts and learns
- Design chatbot personas, workflows and supervised multi-step assistants
- Run small open models offline with Ollama & LM Studio
- Build safe, human-in-the-loop agents with action logs and share work on GitHub
Live · Physical · Recorded
Hybrid Blended — Live Online + Physical Classroom + Recorded Class Access for all 48 classes.
Expert-led Live Classes
- Interactive labs by experts
- Screen-share building & instant feedback
- Learn from home, no travel
Hands-on Lab Sessions
- Team projects & unplugged games
- Guided lab-machine practice
- Showcases & Demo Day
Recorded Access
- Replay every class, anytime
- Revise at the learner's own pace
- Parents see what was learned
Class 3 – 8: Six Papers + Capstone
AI Explorers (Class 3–5) · AI Architects (Class 6–8) · 48 classes of 60 minutes · CBSE 2026-27 CT & AI Framework aligned. Papers I–III build the thinking and machine-learning foundation; Paper IV delivers LO1 (Generative AI); Paper V delivers LO2 (Agentic AI); Month 6 brings both together through Responsible AI and the Capstone.
| Paper | Title | Month / Classes | Objective Focus | Badge Earned |
|---|---|---|---|---|
| I | Think Like a Computer — Computational Thinking & the AI Mindset | 1 · Classes 1–8 | Foundation for LO1 & LO2 | ★ AI Thinker |
| II | Digital & Data Power — Computer Applications and the Three Pillars of AI | 2 · Classes 9–16 | Foundation for LO1 & LO2 | ★ Digital Pro |
| III | Teach the Machine — Machine Learning, Vision & Language Labs | 3 · Classes 17–24 | Foundation + LO2 | ★ Machine Trainer |
| IV | Generative AI Studio — Prompt, Create, Imagine | 4 · Classes 25–32 | LO1 Generative AI | ★ AI Creator |
| V | Agentic AI Lab — From Chatbots to AI Helpers | 5 · Classes 33–40 | LO2 Agentic AI | ★ Agent Builder |
| VI | Responsible AI — Ethics, Safety & Digital Citizenship | 6 · Classes 41–43 | LO1 & LO2 | ★ Responsible Innovator |
| CP | Capstone Project — My AI Invention for a Better Planet | 6 · Classes 44–48 | LO1 + LO2 Integrated | ★ CCAI Certificate |
Two Age-Smart Tracks
| AI Explorers · Class 3 – 5 | AI Architects · Class 6 – 8 | |
|---|---|---|
| Who | Class 3, 4 and 5 (age 8 – 10) | Class 6, 7 and 8 (age 11 – 14) |
| Learning style | Visual, story-led and play-based; unplugged games scaffold every tool | Logical, application-based; systems thinking and real-world problem solving |
| Coding | Scratch blocks with AI extensions | Scratch AI → prompt-built apps, GitHub basics |
| GenAI depth | Guided prompts, text-to-image, AI stories & posters | CREATE prompt model, multimodal creation, NotebookLM research |
| Agentic AI depth | Meet AI helpers; design an agent on paper; teacher-led demos | Build chatbot personas, local models, visual agent workflows |
Month 6 integrates Generative AI and Agentic AI in a Demo Day project. Pedagogy mix: 70% Activity · 20% Story · 10% Theory — so children learn by doing, not by memorising.
Class 9 – 12: Five Papers + Capstone
Explorer pathway (Class 9–10) · Builder pathway (Class 11–12) · 48 classes of 90 minutes · 120 planned learning hours. Section B combines essential computer applications with the practical use of AI. No prior coding experience is required — a short diagnostic sets the right level of scaffolding.
| Month | Paper | Classes / Hours | Milestone outcome |
|---|---|---|---|
| 1 | CCAI 101 · Computer Applications and AI Foundations | 01 – 08 · 12 hours | User problem and digital pack |
| 2 | CCAI 102 · Data, Python and Machine Learning | 09 – 16 · 12 hours | Clean dataset and baseline |
| 3 | CCAI 103 · Generative AI and Research Applications | 17 – 24 · 12 hours | Verified generative AI work |
| 4 | CCAI 104 · Multimodal AI, Local Models and Apps | 25 – 32 · 12 hours | First application prototype |
| 5 | CCAI 105 · Agentic AI and Supervised Automation | 33 – 40 · 12 hours | Bounded agent and action log |
| 6 | CCAI 106 · Capstone Development and Showcase | 41 – 48 · 12 hours | Tested project and portfolio |
| Total | Five papers plus one capstone | 48 · 72 contact hours | One complete evidence portfolio |
Explorer vs Builder Pathways
| Explorer Pathway · Class 9 – 10 | Builder Pathway · Class 11 – 12 | |
|---|---|---|
| Approach | Visual workflows, templates and starter code | Independent functions, Python, retrieval and app development |
| Data & ML | Small supplied datasets and visual modelling | Cleaning functions and model comparison on held-out data |
| Generative AI | Source templates and prompt checklists | Structured outputs, embeddings and retrieval-augmented generation |
| Agentic AI | A single-tool agent from a tested scaffold | Two tools or a retrieval index with measured comparisons |
| Capstone | Scaffolded AI app with a supervised agent function | Richer tool workflow, tested app and GitHub documentation |
Academic status. Section B is an independent enrichment certificate program designed for CBSE learners. It does not imply CBSE endorsement, board credit or equivalence to a school subject. Advanced architecture, optimisation and policy topics provide guided exposure; the program assesses practical competence through the work students can demonstrate.
25+ Real AI Platforms, Hands-on from Day One
Students use the platforms that researchers, designers and developers use today, from Scratch, Teachable Machine and NotebookLM to Canva, Hugging Face, Ollama, LM Studio, Python, Streamlit, GitHub and n8n — introduced at an age-appropriate depth.
Each platform is used within its own age terms — tools with 13+ or 18+ requirements are run through educator-managed accounts or as teacher-led demonstrations. Local models on Ollama and LM Studio keep student prompts on the lab computer. No student shares personal information with any AI system.
Assessment That Rewards Demonstrated Skill
No rote exams. In both sections, learners are assessed on what they can apply, create and explain — mirroring CBSE's competency-based question pattern. Feedback follows every paper, and learners improve their work before final submission.
Section A · Class 3 – 8
- 20% Lab Journal — class activities, reflections and participation across 48 classes
- 20% Paper Challenges — short competency-based quizzes and build tasks after each paper
- 20% AI Portfolio — best creations from Papers I–VI, curated and published
- 40% Capstone — problem, solution, ethics check and Demo Day pitch
Section B · Class 9 – 12 · 100-mark scheme
- 30 marks Paper Portfolios — 6 marks per paper for evidence, explanation, testing and reflection
- 20 marks Observed Practical — individual generative task (10) and tool-using agent task (10)
- 40 marks Capstone Project — user need, technical work, evaluation, responsible design, documentation
- 10 marks Viva & Reflection — explain the work, corrections and personal contribution
Highest certified grade
Strong demonstrated competence
Certificate awarded on meeting completion rules
Successful learners receive the Certificate in Computer Application and Artificial Intelligence (CCAI 2026), issued by Eudoxia Research Centre. Badges: AI Thinker · Digital Pro · Machine Trainer · AI Creator · Agent Builder · Responsible Innovator. Completion requirements: at least 75% attendance (36 of 48 classes) and at least 50% overall; Section B learners also need at least 20 of 40 in the capstone and must demonstrate both the generative and agentic tasks. A resubmission opportunity follows feedback.
What Every CCAI Graduate Can Do
What graduates can do
- Apply computational thinking to daily problems
- Break complex tasks into simple steps
- Identify patterns and logical sequences
Speak AI accurately
- Explain AI in simple, accurate words
- Identify AI in daily life
- Understand NLP, ML, DL, GPU, LLM, SLM and agents
Create with AI
- Write effective, structured prompts
- Create stories, art, music and presentations
- Research smartly with NotebookLM
Direct AI helpers
- Explain how agents sense, think and act
- Design chatbots and simple AI workflows
- Run small AI models safely offline
Invent and pitch
- Invent AI ideas for real-life problems
- Pitch a solution with confidence
- Build a public AI portfolio
Use AI responsibly
- Know right vs wrong uses of AI
- Protect privacy and spot deepfakes
- Act as a responsible digital citizen
What Every Learner Takes Home
- CCAI 2026 Certificate — issued by Eudoxia Research Centre
- Digital skill badges — one for every paper completed
- AI Portfolio — models, stories, art, dashboards, apps and agents
- Capstone invention — a real problem solved with AI and presented
- Earning-ready habits — curiosity, logic, creativity and responsible AI use
Responsible AI in Every Paper
- Verify claims against original sources; declare AI assistance
- Use synthetic, public or permitted data only
- Explore bias, copyright, deepfakes and AI policy
- Agents stay in a controlled workspace with human approval
Parents Ask
No. Both sections start from zero; coding grows step by step with scaffolding.
No. Most platforms run in a browser; heavier tools run on centre lab machines.
Every class is recorded, so learners can catch up at their own pace.
Yes, when guided. Age terms are respected, accounts are managed and privacy rules are taught first.
Choose Your Section, Begin the Journey
AI Explorers & AI Architects
- 6 Papers + Capstone · 48 classes of 60 minutes
- Scratch, Teachable Machine, NotebookLM, Canva, Hugging Face, n8n
- SDG-based Capstone & Demo Day
- 6 digital skill badges + AI Portfolio
Explorer & Builder Pathways
- 5 Papers + Capstone · 48 classes of 90 minutes
- Python, scikit-learn, NotebookLM, Ollama, Streamlit, GitHub
- Tested AI app with a supervised agent & individual viva
- Evidence portfolio for internships and higher studies
Choose a section
Section A for Class 3–8 or Section B for Class 9–12, based on the current class.
Check your device
Confirm access to a suitable laptop or desktop and internet for live classes.
Register & orient
Complete registration and the program orientation with a parent or guardian.
At Home
- Laptop or desktop with webcam and microphone (8 GB RAM recommended for Section B)
- Modern browser and stable internet
- Headphones for focused listening
At the Centre
- Lab computers with Ollama & LM Studio (16 GB RAM preferred for local models)
- Educator-managed platform accounts
- Team tables for project work
Provided by ERC
- Study Material, lab worksheets and starter notebooks
- Recorded library of all 48 classes
- Prompt cards, safety guide and AI Portfolio template
Same offer for Section A and Section B
Live classes, physical sessions, recordings, study material, assessment and certificate. Batch dates, registration arrangements, classroom venues and the final timetable will be shared by Eudoxia Research Centre. Seats in each hybrid batch are limited to keep labs hands-on.
CCAI builds skills and evidence of ability; it does not promise employment or income. Any paid work by learners follows applicable law, platform age terms and parent or guardian consent.
Give Your Child a Head Start in the Age of Intelligent Machines
Six months from now, your child can think like a computer, create with Generative AI, build and test an AI application, guide an AI agent and present an invention that matters — with a portfolio that proves every skill.
Offered by Eudoxia Research Centre, a unit of the Eudoxia Group of Companies · Mumbai | Guwahati, India · Program Director: Prof. Dr. Pratisha Kumari
CCAI builds skills and evidence of ability; it does not promise employment or income. Any paid work by learners follows applicable law, platform age terms and parent or guardian consent.