Foundation for AI Literacy
CT builds the cognitive scaffolding for students to understand, interrogate, and collaborate with AI systems — preparing them for careers in data science, engineering, and beyond.
PiyushAI Edtech
CBSE CT & AI Curriculum Specialists
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CBSE Notification TRG-02 · Session 2026–27
CBSE CT & AI
Teacher Training
Programme
Computational Thinking and Artificial Intelligence is the official CBSE training theme for 2026–27. Equip your school’s teachers with structured, certified training for Classes 3–8 — with IIT Madras-credentialed expertise.
Classes 3–8
40-Hour Certification
6 CPD Hours per DLD
NEP 2020 Aligned
Maharashtra & Vidarbha
English · Hindi · Marathi
Official CBSE Mandate — TRG-02
Notification TRG-02 · 09.04.2026
“Computational Thinking and Understanding AI” — designated as the official training theme for all CBSE-affiliated schools, session 2026–27, in line with NEP 2020.
6
Classes
Gr 3–8
Gr 3–8
7
Sub-Themes
Notified
Notified
6
CPD Hours
per DLD
per DLD
40
Training
Hours
Hours
📅 DLDs open from April 2026 — register your district now
Official CBSE Order: All CBSE-affiliated schools must organise or participate in Computational Thinking & AI teacher training under Notification TRG-02 for session 2026–27. PiyushAI Edtech is your certified school-level implementation partner.
Why This Is the Most Important Reform
CT & AI Is Not a Subject.
It Is a Life Skill.
India’s CBSE CT & AI curriculum for Classes 3–8 is the most future-relevant reform in Indian school education since NEP 2020. Here is why every school must act now.
“Mathematics and mathematical thinking will be very important for India’s future and India’s leadership role in the numerous upcoming fields involving artificial intelligence, machine learning, and data science. Computational thinking will be given increased emphasis throughout school years, starting with the foundational stage.”— National Education Policy (NEP) 2020, Para 4.25
Embedded Across All Subjects
CT integrates into Mathematics, Science, Social Studies, and Language Learning. No new time slots needed — CT enhances what teachers already teach.
Fully Unplugged for Classes 3–5
No computer lab required for the Preparatory Stage. Pen, paper, and grids are sufficient — making CT & AI accessible for all schools in Tier 2 and Tier 3 India.
21st-Century Future-Ready Skills
Students who master CT by Class 8 will be better at decision-making, project management, critical thinking, and understanding AI in any profession they choose.
CBSE Notification TRG-02 — Official Sub-Themes
7 Notified Sub-Themes for
CT & AI DLD Workshops
Schools organise District Level Deliberations (DLDs) on any of these 7 sub-themes. Each full-day DLD earns 6 CPD hours under Domain-II for participating teachers.
01
Foundations of Computational Thinking and AI Readiness
Core CT concepts, what AI is, and preparing teachers and students for AI-ready education
6 CPD Hrs · Domain-II02
From Play to Abstraction: Progressive Pedagogy for CT (Gr 3–8)
Developmental progression from unplugged Class 3 puzzles to multi-step Class 8 reasoning
6 CPD Hrs · Domain-II03
Mathematics as the Cornerstone of CT and AI Readiness
Deep connections between mathematical thinking and how AI learns from patterns
6 CPD Hrs · Domain-II04
Interdisciplinary Connections: CT Across Subjects at Middle Stage
Integrating CT into Science, Social Studies, and Language Learning — Classes 6, 7, 8
6 CPD Hrs · Domain-II05
AI in Real-World Contexts
AI in healthcare, agriculture, transport, and education — making AI literacy relatable
6 CPD Hrs · Domain-II06
Assessment and Pedagogy in CT and AI
Rubrics, competency-based assessment, inquiry-based and project-based learning for CT
6 CPD Hrs · Domain-II07
Ethics and Responsible Use of AI
AI ethics, algorithmic bias, data privacy, and responsible AI use from Class 6 onwards
6 CPD Hrs · Domain-IICBSE CT & AI Curriculum — Core Framework
Four Pillars of Computational Thinking
Each CT pillar is both a standalone cognitive skill and a direct building block for understanding how artificial intelligence systems actually work.
Pattern Recognition
Identifying regularities and relationships in data — the cognitive foundation of how machine learning algorithms work. From number sequences in Class 3 to real-world datasets by Class 8.
Class 6 Teacher Module →Algorithmic Thinking
Designing precise step-by-step instructions to solve problems. From grid puzzles in Class 3 to traffic-light optimisation in Class 8 — the direct bridge to AI engineering and data science.
Class 6 Teacher Module →Decomposition
Breaking complex problems into manageable sub-problems — the first strategy every AI engineer uses. CBSE applies this through resource allocation and multi-variable scheduling in Classes 6–8.
Class 6 Teacher Module →Abstract Thinking
Identifying what is essential and ignoring irrelevant details — the principle that makes AI generalise from training data to new, unseen situations. Class 8 students analyse real AI abstractions.
Class 6 Teacher Module →CBSE TRG-02 — Three Official Training Activities
Three Ways Schools Can Earn CPD Hours
CBSE Notification TRG-02 defines three structured pathways for CBSE-affiliated schools to fulfil their Computational Thinking & AI training mandate for session 2026–27.
Activity 01 — Primary Activity
District Level Deliberations (DLD) Workshop
CBSE schools in a district come together via the Sahodaya School Complex for a full-day offline workshop presenting case papers on CT & AI teaching practices. NOT a project exhibition — a formal peer-learning forum with scored case papers (Format F4) and a pathway to the National Teachers Conference 2026.
Activity 02
Expert-Led Talks on CT & AI in Schools
Lead schools organise specialised online or offline CT & AI sessions aligned to any notified sub-theme, facilitated by internal or external experts including PiyushAI Edtech. Schools may also use CBSE’s videos on DD PM e-Vidya Channel CBSE-15.
Activity 03
Regional Workshops by CBSE CoEs
CBSE’s Centres of Excellence (CoEs) conduct board-coordinated regional orientation programmes. Schools nominate teachers as per CoE jurisdiction. Online registration required at ₹700. Schedule to be announced by respective CoEs.
CBSE CT & AI Curriculum Scope
Preparatory Stage & Middle Stage
CBSE organises CT & AI across two distinct developmental stages — each with its own pedagogy, scope, and AI literacy requirements, aligned to NCFSE 2023.
Stage 1 · Preparatory · Classes 3–5
Unplugged Computational Thinking
Visual, game-like, and everyday contexts. All activities use pen-and-paper — zero devices needed. Problems are 1–3 steps using plain language: rules, steps, clues.
Goal: Build CT thinking habits through puzzles, not programming. Fully accessible to all schools in rural and semi-urban India.
No Computer Lab
Math & TWAU Integration
1–3 Step Problems
100% Unplugged
Stage 2 · Middle · Classes 6–8
CT + AI Literacy (20 Hrs/Year)
Multi-step logic, conditional branching, iterative reasoning, and cross-subject CT. Students design and debug algorithms. Explicit AI connections to machine learning, NLP, and vision.
Classes 6, 7, and 8 each receive 20 dedicated AI Literacy hours — from AI concepts in Class 6 to full AI project lifecycle in Class 8 using no-code tools.
20 Hrs AI Literacy/Year
No-Code Tools (Cl 8)
Interdisciplinary Projects
AI Ethics from Cl 6
| Class | CT Skills | AI Literacy Focus | Project Output |
|---|---|---|---|
| 3–5 | Pattern Recognition, Algorithmic Thinking, Decomposition, Abstraction (Basic) | None — CT embedded in Math & TWAU | — |
| 6 | All 4 CT pillars (Advanced) | Intro to AI, data concepts, ethics | 1 interdisciplinary CT project |
| 7 | Advanced CT + applied problems | AI domains, data visualisation, bias | 1 interdisciplinary project |
| 8 | Advanced CT + optimisation | AI lifecycle, no-code tools, model building | 1 AI project + formal presentation |
PiyushAI Edtech — School Implementation
5-Step Roadmap to CT & AI Readiness
A practical implementation pathway for CBSE schools rolling out CT & AI for the first time in session 2026–27.
-
01
Curriculum Alignment Audit
Map your existing Math, Science, and Computer syllabus against the four CT pillars. CT elements are often already present — just unlabelled. Identifying overlaps reduces teacher anxiety and smooths adoption.
-
02
CBSE-Aligned Workbooks (Classes 3–8)
Chapter-by-chapter workbooks with progressive difficulty, scaffolding for struggling learners, and extension tasks for advanced students — aligned to CBSE CT & AI outcomes 2026–27. Available in English, Hindi, and Marathi.
-
03
40-Hour Teacher Certification Programme
Blended certification for Math, Science, and Computer teachers covering all four CT pillars, AI literacy, ethics, and pedagogy. Teachers become confident CT facilitators — not required to be AI researchers.
-
04
Competency-Based Assessment Design
Rubrics that assess whether students can articulate their CT reasoning — not just correct answers. Aligned to CBSE Format F4 evaluation criteria (9 criteria, 100 marks) for DLD case papers.
-
05
Start Unplugged — Scale with Technology
Build conceptual foundations with pen and paper before introducing devices. For Classes 6–8, no-code tools and block-based programming deepen engagement once CT foundations are solid.
CBSE Format F4 — Appreciation Committee Evaluation
How CBSE Scores DLD Case Papers — 100 Marks
Case papers at DLD Workshops are scored out of 100 marks across 9 criteria. Top 3 papers per district go to the CBSE CoE — best papers reach the National Teachers Conference 2026.
30
Demonstrated Impact — Evidence-based student outcomes
10
Novelty — Innovative ideas, methods, technologies
10
Relevance — CBSE curriculum alignment, real-world CT/AI
10
Methodology — Sound pedagogy, clear structure
10
Inclusivity — Access for diverse student populations
10
Scalability — Expandable to more students/schools
10
Replicability — Adoptable by other CBSE schools
5
Sustainability — Long-term curriculum integration
5
Cost-Effectiveness — Outcomes with reasonable resources
🏆 1st best paper per sub-theme → Oral presentation at NTC 2026 · 2nd & 3rd → Poster presentation
Frequently Asked Questions
Common Questions About CBSE CT & AI Teacher Training
The CBSE CT & AI teacher training covers all four Computational Thinking pillars (Pattern Recognition, Algorithmic Thinking, Decomposition, Abstract Thinking) plus AI Literacy for Classes 6–8 (AI concepts, data, domains, ethics, bias, no-code tools). PiyushAI Edtech’s 40-hour blended programme is for Math, Science, and Computer teachers, available in English, Hindi, and Marathi, aligned to CBSE Notification TRG-02 dated 09.04.2026.
CBSE Training Notification No. TRG-02 dated 09.04.2026, signed by Director (Training) Manoj K. Srivastava, designates ‘Computational Thinking and Understanding AI’ as the official training theme for all CBSE-affiliated schools for session 2026–27. It mandates three training activities: (1) DLD Workshops — 6 CPD hours; (2) Expert-Led Talks — 3 CPD hours; (3) Regional Workshops by CoEs — 6 CPD hours at ₹700. Schools must organise or participate in at least one activity during the session.
The 7 official CBSE sub-themes are: (1) Foundations of CT and AI Readiness, (2) From Play to Abstraction: Progressive Pedagogy for CT (Gr 3–8), (3) Mathematics as the Cornerstone of CT and AI Readiness, (4) Interdisciplinary Connections: CT Across Subjects at Middle Stage, (5) AI in Real-World Contexts, (6) Assessment and Pedagogy in CT and AI, (7) Ethics and Responsible Use of AI. Multiple DLDs covering different sub-themes can be held in the same district throughout the session.
No. The CBSE CT curriculum for Classes 3–5 (Preparatory Stage) is entirely unplugged — pen, paper, and grids are all that is needed. Grid movement puzzles, step-by-step planning exercises, and pattern games require zero devices. This makes CT & AI fully accessible to all CBSE schools including those in Tier 2 cities, Tier 3 towns, and rural areas. Technology (no-code tools, block-based programming) is introduced only in Classes 6–8 once conceptual foundations are firmly established.
A DLD is a voluntary, one-day offline workshop where CBSE schools in a district present structured case papers on best CT & AI teaching practices for Classes 3–8, organised through the Sahodaya School Complex. It is NOT a project exhibition — it is a formal peer-learning forum. Each presenter gets 25 minutes. An Appreciation Committee (1 external CT/AI expert + 2 principals/teachers) scores all papers out of 100 marks using Format F4. The top 3 papers are forwarded to the CBSE Centre of Excellence for potential inclusion in the National Teachers Conference 2026.
PiyushAI Edtech offers: (1) 40-hour blended CT & AI teacher certification for Math, Science, and Computer teachers; (2) Graded workbooks for Classes 3–8 aligned to CBSE 2026–27 outcomes; (3) Free school demo sessions for principals and academic coordinators; (4) Expert-Led Talks for Activity 2 under TRG-02; (5) One-on-one curriculum rollout consultation. Contact: support@piyushai.com or call/WhatsApp 9423071961. Based in Amravati, Maharashtra — serving schools across Vidarbha and India.
Each CT pillar maps directly to how AI systems function: Pattern Recognition is what machine learning does; Algorithmic Thinking is what AI researchers produce (training algorithms, search algorithms); Decomposition is how AI systems are engineered (data pipelines, model components); Abstraction is what makes AI generalise from training data to new situations. CBSE pairs CT and AI so that students don’t just use AI tools — they understand, question, and can improve them.
Meet the Expert Behind PiyushAI Edtech
PW
Piyush Wairale
Founder, PiyushAI Edtech
🎓M.Tech, IIT Madras (2021)
🏛️Ex-Instructor, IIT Madras BS Programme
🪟Ex-Microsoft Learn Educator
☁️Ex-AWS Academy Educator
🚗Ex-Volkswagen
📡NPTEL Educator
🔢GATE DA Educator
📅5+ Years CT & AI Teaching
Taught at IIT Madras —
Now Bringing That Rigour to Every CBSE School
Piyush Wairale combines deep academic pedigree from IIT Madras, real-world experience at Volkswagen, Microsoft, and AWS, and grassroots classroom experience across school and higher education platforms including NPTEL and Skillable.
Having taught at the IIT Madras BS Degree Programme — the expert ecosystem connected to the CBSE CT & AI curriculum framework — PiyushAI Edtech has an uniquely authoritative perspective on what this curriculum demands and how to deliver it effectively in CBSE schools across Maharashtra and India.
PiyushAI Edtech is a Maharashtra-based curriculum specialist purpose-built for CBSE CT & AI for Classes 3–8. Not a generic content platform — a dedicated implementation partner who understands the CBSE framework, NEP 2020 pedagogy, and the realities of school implementation in Amravati, Vidarbha, and beyond.
🏫 Free School Demo
Live demo of CT & AI workbooks for your leadership team — no commitment required.
📖 Workbook Preview
Complete sample chapter for any class, aligned to CBSE CT & AI 2026–27.
🎓 Teacher Certification
40-hour blended training for Math, Science & Computer teachers — certification-ready.
📋 Curriculum Consultation
One-on-one strategy session to plan your school’s CT & AI rollout for 2026–27.
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