CBSE Computational Thinking & AI Complete Masterclass for Teens (Class 9-12)

Not from the 2026-27 session. CBSE Circular Acad-18/2026 (9 April 2026) discontinued the AI skill subject for Class 9; students already in Class 10 continue on the earlier scheme, so 417 still applies there. What replaces it matters more: CBSE's new Computational Thinking & AI becomes a compulsory Class 9 subject with an annual examination from session 2027-28. A child in Class 8 today sits it next year. This course teaches the full 417 syllabus either way, because it is the same foundation - AI project cycle, neural networks, Python, data science - and it is what Class 10 examines.

Yes, 100% alignment. Every unit of CBSE AI Class 9-10 (Code 417) and Class 11-12 (Code 843) is covered in greater depth than prescribed. We follow the exact CBSE pedagogical order, use NCERT-recommended textbooks and tools, and our capstone projects follow the official CBSE AI Project Cycle format. Our students consistently score 95+ in their CBSE AI board exams (verified by 2,800+ board results).

Code 417 is the Skill Subject for Class 9 & 10 (introductory, more hands-on, 30% practical). Code 843 is the Academic Elective for Class 11 & 12 (deeper theory + advanced ML/DL, 70% theory + 30% practical). Our course seamlessly covers both, Phases 1-2 master Code 417, Phases 3-4 master Code 843. Students starting in Class 9 get a complete 4-year pathway; students starting later enter the appropriate phase based on diagnostic.

Yes, we offer a Class 12 Crash Track (3-4 months intensive) that covers the complete CBSE AI 843 Class 12 syllabus with board-focused revision, 10 mock tests, capstone project (board-submission quality), and viva mastery. Our Class 12 crash students have scored 90+ in under 3 months of intensive prep. Book a free diagnostic to see if this suits you.

Most CBSE schools cover AI at surface level due to 2-4 hours/week constraint, and teacher training is still catching up. Our course goes 10x deeper with 10-12 hours/week, industry-grade Python + ML + DL, full practical file support, capstone project guidance, board-exam strategy, competition prep, and GitHub portfolio, none of which schools provide. 92% of our students also attend school AI classes, we complement, not replace.

Absolutely. Practical file is 30 marks (Code 417) or 30 marks (Code 843). We provide: complete practical file creation support (20+ lab activities per class), file binding and formatting per CBSE standard, viva-voce preparation (500+ question bank), examiner's perspective analysis, and topper-quality answer templates. Our students consistently score 28-30 out of 30 in practicals.

AI is becoming the 'new literacy' across all fields, medicine (AI diagnostics), law (legal AI), business (AI analytics), design (GenAI), finance (algo trading), creative arts (AI filmmaking). The 4 pillars of Computational Thinking plus AI fluency will be essential in every career by 2030. Even if you pursue non-CS fields, this course gives you a decade-long career advantage. Many of our students become doctors, lawyers, designers, all enhanced by AI skills.

Directly: No (JEE doesn't test AI). Indirectly: Yes, our computational thinking module sharpens logical reasoning and problem-solving that directly boost JEE Advanced performance. More importantly, your AI project portfolio becomes a massive differentiator for IIT/NIT/BITS interviews, scholarship applications, and international college admissions where portfolio weight is 40-60%.

Yes, because AI is one of your board subjects (Code 417 for Class 10, Code 843 for Class 12), the time spent directly contributes to your board prep. Our schedule adjusts during board months (Jan-March) to revision mode. Many of our students handle full CBSE board prep (Physics, Chem, Math, English) + AI 95+ score + GitHub portfolio simultaneously with our structured approach.

No, we use Google Colab which provides free GPU access (enough for 90% of our curriculum). For heavier training, Kaggle offers 30 hours/week free GPU, or Colab Pro ($10/month) or your school's lab. A basic 8GB RAM laptop suffices for coding. We teach cloud-first engineering (which is the industry standard anyway).

Absolutely. Our curriculum is benchmarked against Stanford CS229 (Machine Learning) and CS231 (Deep Learning), and we've helped 40+ students get into Stanford AI4All, MIT Beaver Works, CMU AI Summer, Google CodeU, and Google AI India. We provide application guidance and recommendation letter support.

If you attend 85%+ classes, complete 80%+ homework, submit all practical file activities and capstone on time, score below 95 in CBSE AI board exam, we refund 50% of fees. Our historical guarantee claim rate is <3% because our methodology works. See full terms in enrollment agreement.

Our course is fully transferable. ICSE/ISC students use it alongside ICSE Computer Science; IB students use it for Computer Science HL projects; Cambridge students use it for IGCSE ICT/CS; State Board students use it as comprehensive AI skill-building. The only CBSE-specific modules are board-exam prep in Phase 2 Week 22-26 and Phase 4 Week 48-52, which become optional electives for non-CBSE students.