AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

Python & AI for Teens

Learn Python, data basics and simple AI projects in a guided setting.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The curiosity spark128

Questions connect into knowledge, making and confidence.

QUESTIONMAKESHARE
Duration12 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelClasses 8–12
Projects6 substantial practical builds
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere

NEXT START OPTIONS

Choose a live batch.

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COURSE OVERVIEW

What this course
is built to do.

A guided Python and beginner AI programme for Classes 8–12 covering coding logic, data, simple models and a final student project.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINStudents in Classes 8–12Young coding beginnersSchool project teamsTeens interested in AI careers
PREREQUISITE

Basic computer use and school-level mathematics. No prior programming is required.

CONNECTED CAREER DIRECTIONS

Foundation route to coding and AIStudent Python DeveloperJunior Data Project LearnerYoung AI Project Creator

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You are in Classes 8–12

02

You want to learn coding from the beginning

03

You want a safe and interesting first AI project

YOUR LEARNING ARC

From guided foundation to finished work.

01

Code

Learn Python variables, logic and functions.

02

Build

Create small games and applications.

03

Analyse

Work with data and charts.

04

Model

Train and present a beginner AI project.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Build a Python mini application
  2. Analyse a student-friendly dataset
  3. Create and demonstrate a simple AI model
PRO
LED

YOUR TRAINING TEAM

Learn from experienced working professionals.

Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Write and explain beginner Python

A set of programs using logic, functions and data.

02

Analyse small datasets

A checked notebook and visual report.

03

Understand beginner machine learning

A trained and tested classifier experiment.

04

Present a student project

A working capstone with test and explanation records.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

DETAILED COURSE FLOW

5 learning modules

Help students in Classes 8–12 learn Python, data thinking and beginner AI projects through guided coding, experiments and safe tool use.

MODULE 01

Python thinking and safe AI use

Build confidence with instructions, code and age-appropriate AI rules.

CORE TOPICS
  • Programs, algorithms and debugging
  • Variables, input and output
  • AI assistants and code explanation
  • Privacy, online safety and fair school use
GUIDED PRACTICE

Create small Python programs and explain each line in simple language.

MODULE DELIVERABLE

Python starter exercise set

MODULE 02

Logic, functions and mini applications

Use programming structures to solve clear problems.

CORE TOPICS
  • Conditions and loops
  • Functions and reusable code
  • Lists, dictionaries and strings
  • Errors, tests and correction
GUIDED PRACTICE

Build a quiz, calculator or text-based game with test cases.

MODULE DELIVERABLE

Python mini application

MODULE 03

Data and visualisation

Collect, clean and present small datasets.

CORE TOPICS
  • Tables, CSV files and data types
  • Pandas foundation
  • Charts and pattern finding
  • Responsible interpretation
GUIDED PRACTICE

Analyse a sports, school or public dataset and present the result.

MODULE DELIVERABLE

Teen data project

MODULE 04

How machine learning works

Understand training data, features, labels and prediction through simple experiments.

CORE TOPICS
  • Rules versus learned models
  • Classification and prediction
  • Teachable Machine experiments
  • Accuracy, bias and testing
GUIDED PRACTICE

Train and test a beginner image or sound classifier.

MODULE DELIVERABLE

Introductory AI model experiment

MODULE 05

Final project and student showcase

Plan, build and present a complete beginner project.

CORE TOPICS
  • Idea selection and project plan
  • Python or no-code AI build
  • Testing and correction diary
  • Presentation, demo and next learning steps
GUIDED PRACTICE

Create and demonstrate a student AI project to teachers or parents.

MODULE DELIVERABLE

Python and AI student capstone

HOW THE TRAINING WORKS

Learn it. Apply it. Get it reviewed. Improve it.

Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

Review and revision

Work is checked against a rubric, revised after feedback and prepared for project presentation.

PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation

PORTFOLIO WORK

Projects you can show

01

Guided practice brief

Plan, produce, test and present a finished piece with trainer feedback.

02

Individual application

Plan, produce, test and present a finished piece with trainer feedback.

03

Workflow build

Plan, produce, test and present a finished piece with trainer feedback.

04

Industry-style assignment

Plan, produce, test and present a finished piece with trainer feedback.

05

Quality review

Plan, produce, test and present a finished piece with trainer feedback.

06

Final capstone

Plan, produce, test and present a finished piece with trainer feedback.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

TOOLS COVERED

PythonScratchTeachable MachineJupyter
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Does a student need prior coding?

No. The course begins with programming logic and guided Python practice.

Is the course age-appropriate?

Yes. Projects, safety rules and explanations are designed for Classes 8–12.

Can parents see the final work?

Yes. The closing project is prepared as a student showcase and can be presented to parents or teachers.

Do I need coding experience?

No, unless the course level says otherwise. Your advisor will check the right starting level.

Are classes live or recorded?

Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.

Will I receive a certificate?

Yes. Course completion requires attendance, assignments and the final project.

Can working professionals join?

Yes. Weekday, weekend and selected fast-track schedules are available.

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NEXT BATCH

Choose your course.
Choose your schedule.

Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.

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