How long does this route take?

The required steps add up to 20 weeks and 96 training hours (about 4–6 hours a week). Optional steps are extra.

What do I need before I start?

Comfortable using a computer. No coding experience needed.

Will this get me a job?

A strong foundation for later study. It does not make a learner a software or AI engineer. No placement services: study and progression guidance.

How much does it cost?

Fees depend on the programmes and batch you choose. A counsellor shares current fees, batch timings and a suitable learning plan when you ask.

Learning routes / School AI and Coding Foundations

Learning route

School AI and Coding Foundations

Ages 13–17: creative coding, then real Python. School students aged 13 to 17 who want to make things with code and AI.

Get fees, batch timings and a learning plan Not sure? Find my learning path

Length: 20 weeks · 96 training hours
Weekly effort: About 4–6 hours a week
Start with: Comfortable using a computer. No coding experience needed.
Language: Taught in English. School-level practice questions, quizzes and explanations can also be switched to Tamil.

What you will be able to do

Writes and explains small Python programs, uses AI tools responsibly for learning, and shows a few finished projects.

Be clear: A strong foundation for later study. It does not make a learner a software or AI engineer.

The route, step by step

Start here
AI & Creative Coding for Teens (Ages 13–17)
Beginner · 12 weeks · 48 training hours
Creative coding and responsible AI use at a pace that suits school students.
Portfolio Project: AI-assisted school helper project
How it is checked: Graded notebooks for the chatbot (week 7) and classifier evaluation (week 9), and the final AI-assisted school project with its AI-help log.
Then
Python — Beginner
Beginner · 8 weeks · 48 training hours
Real Python fundamentals: variables, loops, functions and files.
Portfolio Project: Shop sales tracker
How it is checked: Portfolio project output: Working tested software application with source code and technical README. Completion is subject to the course-specific proposed policy below; practical evidence is mandatory. Rubric focus: Code quality, security, testing and demonstration. Institute certificate only; external/vendor certification separate. Independent final check: The supplied file and script run verbatim: the valid pen row contributes 30, the invalid quantity is reported, and missing headers are diagnosed. Proposed completion: 70% overall and 70% in the portfolio practical; critical accuracy, permission and privacy failures require correction and observed reassessment. This policy needs academic approval before use for awards.

Certificate

ADIVAS issues an institute certificate for each programme when its requirements are met: the course weeks, the graded quizzes and, where recorded, attendance. It is an ADIVAS certificate, not an external or vendor qualification, and anyone can check it with its code.

How certificates and the Skill Passport work →

Career support

No placement services: study and progression guidance.

We prepare you for employment; we do not guarantee employment.

Batches

No batch for this route is scheduled on the website yet. A counsellor can tell you when the next one starts.

Questions

How long does this route take?: The required steps add up to 20 weeks and 96 training hours (about 4–6 hours a week). Optional steps are extra.
What do I need before I start?: Comfortable using a computer. No coding experience needed.
Will this get me a job?: A strong foundation for later study. It does not make a learner a software or AI engineer. No placement services: study and progression guidance.
How much does it cost?: Fees depend on the programmes and batch you choose. A counsellor shares current fees, batch timings and a suitable learning plan when you ask.

Curriculum outlines are drafts under academic review; a counsellor confirms what the current batch covers. Other routes: AI and Digital Explorer for Children, Software Development for College and Career Learners, Data Analytics and Business Intelligence, Applied Generative AI and AI Development.