Give your school a head start on the CBSE Computational Thinking & AI mandate.
A ready-to-deploy, Board-aligned training programme — decomposition, pattern recognition, abstraction and algorithmic thinking, taught through activities, games and AI tools, not lectures. Delivered on your campus by a 30-year AI educator.
This isn't an optional add-on — it's now part of the CBSE curriculum.
CBSE has introduced Computational Thinking and Artificial Intelligence as a formal curriculum for Classes III to VIII, effective the 2026–27 session, in line with NEP 2020 and the National Curriculum Framework for School Education 2023. It applies to every CBSE-affiliated school.
The goal isn't to turn ten-year-olds into programmers. It's to build logical thinking, structured problem-solving, and an early, ethical understanding of how AI works — skills the Board now expects schools to demonstrate, not just describe.
Most schools face the same gap: teachers ready to adopt the framework, but no age-appropriate, activity-based content to deliver it with. This programme closes that gap in a single term, with a trainer who has already done this at scale.
Classes III–V build computational thinking through unplugged, game-like puzzles. Classes VI–VIII layer on a dedicated AI literacy component alongside continued CT practice.
Every grade builds toward the same four capacities: decomposition, pattern recognition, abstraction, and algorithmic thinking — the same reasoning that underlies how AI systems work.
Boards, accreditation bodies and parents increasingly judge a school by how well it prepares students for an AI-driven future — this programme lets a school lead on that, rather than scramble later.
Computational thinking, taught the way CBSE intends — through doing, not lecturing.
Every session is built around the same four pillars, scaled to the grade's cognitive stage — from pencil-and-grid puzzles in Class III to AI project design in Class VIII.
Decomposition
Breaking a large, messy problem into smaller pieces a child — or a machine — can actually act on.
Pattern Recognition
Spotting what repeats, what's similar, and what can be generalised across a set of examples.
Abstraction
Filtering out what's irrelevant so attention stays on what actually solves the problem.
Algorithmic Thinking
Designing a clear, step-by-step process that reliably reaches the same solution, every time.
One continuous pathway, not six disconnected workshops.
Each grade is a two-hour, hands-on session that builds directly on the one before it — from first encounters with AI to designing and pitching an original AI-assisted project.
Dr. Tanveer Ikram
30 years bringing AI into classrooms across five countries.
Dr. Ikram is an AI professor, technology strategist and academic leader who has worked with schools, colleges, universities and industry across Australia, New Zealand, Malaysia, Singapore and India to make AI, robotics and future skills genuinely age-appropriate for young learners.
- →Professor of Artificial Intelligence and former Head, Software Development Centre.
- →Delivered AI training programmes across schools, colleges and universities.
- →Google India AI Speaker and Faculty Development Programme trainer.
- →Award-winning AI educator with multiple national recognitions.
- →Mentors AI, robotics, smart city, healthcare and environmental innovation projects.
- →Advises schools and institutions on AI and digital transformation strategy.
Winner, Google India AI Higher Education Use Case Contest
Google AI for K-12 Educators — certified, score 94
Multiple AI innovation grants, including under MeitY GENESIS
Regular speaker at AI conferences and Faculty Development Programmes
"Empowering young minds with artificial intelligence, creativity, innovation and problem-solving skills to become the technology leaders of tomorrow." — Dr. Tanveer Ikram
What makes the sessions stick — and what students walk away with.
Inside every session
- CBSE curriculum aligned, 2026–27
- Activity-based and experiential learning
- Hands-on AI demonstrations
- Coding and computational thinking exercises
- Generative AI exposure, age-appropriately scoped
- Problem-solving and design thinking challenges
- Digital citizenship and AI ethics
- Mini projects and innovation challenges
- Interactive quizzes and team activities
- Student participation certificate
What students take away
- Computational thinking and logical reasoning skills
- A working understanding of how AI actually functions
- The ability to apply problem-solving to real situations
- Creative confidence using AI-powered tools
- Responsible, ethical habits around AI use
- Stronger collaboration and critical thinking
- Genuine curiosity about future AI careers
Simple to schedule, easy to slot into your term calendar.
| Classes covered | III to VIII |
| Duration per class | 2 hours |
| Mode | Interactive classroom / smart classroom / computer lab |
| Methodology | Demonstrations, activities, games, AI tools, coding exercises, group discussions, mini projects |
| Progression | AI awareness & computational thinking in the primary years, moving to data literacy, AI applications, ethics and project-based innovation in middle school |
Contact Dr. Ikram for your school's next AI programme.
Give your students a CBSE-aligned head start into computational thinking and artificial intelligence — and give your school a confident answer to the 2026–27 mandate.
Phone / WhatsApp
Address
Johri Farm, New Delhi – 110025, India
Response time
Callback within one working day