ATAU / USE / 01
AI Tools Course for Teens
Prompting to projects, 13 and over.
Open the syllabusAustralia · Ages 13 to 18 · Use, check, build
Australian teenagers already use AI, often daily, for homework help, coding and curiosity. Schools are responding: in New South Wales, the Department of Education has given students from Year 5 to Year 12 its own generative AI tool. What most teens have not been taught is how to check what AI tells them, when not to use it, and how it actually works underneath. Our AI classes for teens cover all three. Students learn to use AI tools well and within each provider's own age rules, to break an AI answer into claims and verify each one, and to build machine learning themselves in Python. This page explains the approach, works through one verification in full with a real score, and connects it to what the Australian Curriculum and NSW schools already expect.
Live teaching since 2020 · 10,000+ students · AI used with judgement, then built from scratch
In short
AI classes for teens teach young people aged 13 to 18 to use generative AI tools effectively and within each provider's age rules, to verify AI output claim by claim against reliable sources, and to understand AI by building machine learning models in Python. The Australian Curriculum v9 already asks students to check AI-generated content against authoritative sources. Modern Age Coders runs these classes live online for Australian teens, in small groups or one to one, and the first class is free.
Start here
Matched to whether a teen wants to use AI well, build it, or both. Each card opens the syllabus.

ATAU / 01
Strictly 13 and over. Prompting to real projects, with each platform's own age rules part of the course.
Open the syllabus →
ATAU / 02
Python to real models: training, testing and explaining machine learning, ages 13 to 18.
Open the syllabus →
ATAU / 03
Data, statistics and first ML models in Python, ages 14 to 18.
Open the syllabus →Use, check, build
Most AI courses for teens teach only the first. The second and third are what make the first safe and useful.
| Skill | What students learn | What they can do afterwards |
|---|---|---|
| Use | Writing clear prompts, giving context, asking for structure and sources | Get useful help with study, coding and projects, faster |
| Check | Splitting an answer into claims and verifying each against a primary source | Catch wrong, outdated and invented statements before relying on them |
| Build | Python, data, training a model, testing it on new data | Explain what is happening inside AI tools, not just what comes out |
Generative AI writes fluent, confident text whether or not it is correct. A teen who cannot check it ends up repeating mistakes in essays, code and conversations.
Checking is a learnable skill with clear steps, and it transfers to everything else they read online, from news to social media.
A student who has trained even a small model knows that AI output is a prediction from training data, not a looked-up fact. That single idea changes how they read every AI answer.
Building also opens doors: data science, machine learning and software engineering all start with the Python skills taught here.
A worked example
This exercise is the centre of the course. We give students an AI-style answer, they split it into separate claims, and they check every one against a primary source.
The question: what does the Australian Curriculum say about coding and AI? We wrote a sample answer in the fluent style AI tools produce, then split it into seven claims. Students check each claim against ACARA's own Version 9.0 Digital Technologies documents and, for the NSW claim, the NSW Department of Education's own page. Each claim ends up supported, contradicted, or not supported by any source they could find.
| # | Claim in the answer | What the source says | Verdict |
|---|---|---|---|
| 1 | The Australian Curriculum is published by ACARA. | The Version 9.0 documents are published by ACARA. | Supported |
| 2 | Digital Technologies starts in Year 3. | Content begins at Foundation, for example code AC9TDIFK01. | Contradicted |
| 3 | In Years 7 and 8, students must learn Python. | The elaboration says a general-purpose language "such as Python, JavaScript or C#". | Contradicted |
| 4 | The curriculum discusses the zero problem in AI training data. | An AC9TDI10P01 elaboration names "the zero problem". | Supported |
| 5 | Students are expected to check AI-generated content against authoritative sources. | An AC9TDI6P06 elaboration says exactly this. | Supported |
| 6 | NSW gave its Year 5 to 12 students a department AI tool. | The department says "staff and students in Years 5 to 12 now have access to NSWEduChat". | Supported |
| 7 | ACARA rewrote the curriculum because of ChatGPT. | No statement found in the sources read. | Not supported: leave it out |
4 of 7 claims supported, 2 contradicted and 1 with no support. The answer read smoothly from start to finish; nothing in its tone hinted that three claims were unsafe to use.
Claim 3 sounds the most authoritative and is wrong in a way that matters: a teen who repeats it in an assignment states a rule that does not exist.
One claim per line, one source per claim, and anything unsupported is left out. Students time themselves; most get faster within a few lessons.
The organisation that owns the fact: the curriculum authority for curriculum, the exam board for exam rules, the department for school policy. Second-hand summaries, including other AI answers, do not count.
Students also learn to record the date they checked, because rules, dates and tools change.
ACARA's Version 9.0 includes, for Years 5 and 6, "verifying the correctness of AI-generated content against information known to be factually accurate". Its example compares an AI biography of a local leader with "their official website or other authoritative source".
Our teen classes take the same habit much further, to code, data and longer answers.
Sources, read 7 October 2026: ACARA Version 9.0 Digital Technologies content for Foundation to Year 6 and Years 7 to 10; NSW Department of Education, NSWEduChat. The sample answer was written by us for teaching.
At school
Teenagers meet AI at school in two ways: as a topic in Digital Technologies, and as a tool their school may provide or regulate.
The Version 9.0 elaborations for Years 7 to 10 cover training data, bias, machine learning and the hardware behind it. One notes that "GPUs are more efficient at performing the mathematical calculations necessary for training generative AI than CPUs" (AC9TDI8K01).
Our build sessions make those ideas concrete: students see why training takes the time it does by running small models themselves.
In NSW, the department describes NSWEduChat as "the secure, department-owned generative artificial intelligence (AI) tool", available to Department of Education students from Year 5 to Year 12. Other states and schools set their own approaches.
Whatever tool a school provides, its rules on AI in assessment come first. We teach students to follow them and to say when they have used AI help.
| We do | We do not |
|---|---|
| Teach how to use AI tools well and honestly | Write or rewrite assessed work |
| Teach verification and citing of sources | Help students hide AI use where it is not allowed |
| Build understanding through students' own projects | Complete major projects or school tasks |
| Explain each school's published AI rules when students bring them | Override what a school or exam authority says |
Senior students in New South Wales will find more on assessment integrity in our HSC Software Engineering help page.
Age rules
Some AI services set minimum ages above 13. A responsible AI class for teens works within them, rather than around them.
Our AI Tools Course for Teens is firmly 13 and over, and each platform's own age rule is taught as part of the course. Where a tool requires users to be older than a student, that student does not use it in our lessons.
For example, Anthropic's consumer terms set a minimum age of 18. Our page on AI courses for kids quotes that rule, and Google's for Gemini Apps, word for word.
Building and training machine learning models in Python needs no AI account at all. Students under a tool's minimum age still learn how AI works, and arguably learn it more deeply.
Our AI tool age guide collects age rules for many popular tools, each with its source.
Building AI
The build sessions turn AI from a mystery into a set of steps a student can explain.
| Project | What the student does | What it teaches |
|---|---|---|
| Text classifier | Trains a model to sort short texts by topic | Training data, testing and the zero problem |
| Number recogniser | Trains on images of handwritten digits | Features, accuracy and confusion between classes |
| Prediction from data | Uses public Australian data to predict a value | Regression, error and overfitting |
| Fairness check | Compares results on balanced and unbalanced training sets | How data shapes outcomes |
| Model explainer | Writes a plain-English report on a model's strengths and limits | Communicating AI honestly |
Students who want to go further move on to AI and machine learning classes in Australia. Younger siblings can start with the Python AI course for kids.
Progress
Most students reach the third level in two to three terms of weekly lessons.
| Level | What you can do |
|---|---|
| 1. Prompter | Ask clear, structured questions and get usable answers |
| 2. Checker | Split any AI answer into claims and verify each against a primary source |
| 3. Builder | Train and test a machine learning model in Python on real data |
| 4. Explainer | Write an honest account of what a model can and cannot do, and why |
Yes, as a skill for research, coding and understanding, never as a way to produce assessed work. Senior students value the checking habit most.
Students taking a computing subject also benefit from the Python and data work.
Especially. Heavy users often have the most to gain from verification and from knowing how the tools work.
Many arrive confident and leave sceptical in the best sense.
The catalogue
Grouped by focus. The free class decides where a student begins.
ATAU / USE / 01
Prompting to projects, 13 and over.
Open the syllabusATAU / USE / 02
Python, web and AI projects, 13 to 17.
Open the syllabusATAU / USE / 03
Design work alongside AI tools.
Open the syllabusATAU / BLD / 01
Python to real models.
Open the syllabusATAU / BLD / 02
Data and first models, 14 to 18.
Open the syllabusATAU / BLD / 03
Machine learning without code.
Open the syllabusATAU / FND / 01
The language underneath it all.
Open the syllabusATAU / FND / 02
Algorithms and clear thinking.
Open the syllabusATAU / FND / 03
Staying safe as tools get smarter.
Open the syllabusHow lessons run
Teachers are based in India, and the Indian working day overlaps Australian afternoons and early evenings. Lessons are booked in your own state's time, including through daylight saving.
After school
Weekday lessons around homework.
Early evening
For senior students, by arrangement.
Weekend
Longer build sessions.
A short verification exercise and a first look at building a model.
Five to ten teens comparing checks and results.
For a specific project, subject or pace.
No student uses a tool below its stated minimum age.
We never produce assessed work and we teach honest disclosure.
Teachers guide; students type and explain every line.
Student work
Work our students built and published online. The student labs list the rest.

AI and ML
An AI nutrition coach that reads what you eat and works you toward a target.

AI and ML
A chatbot that answers mathematics and programming questions, built and deployed by a student.

AI and ML
An assistant that helps a young person recognise unsafe situations online.

Web app
A weather forecasting site with live conditions for any location.
Fees
Students outside India pay a flat monthly fee in US dollars, with nothing to pay at sign-up and no contract to see out.
Free first class
USD 0
no card required
Group batch
USD 100
a month, billed in US dollars
One to one
USD 150
a month, billed in US dollars
What families say
Published reviews from our Google profile, reproduced without edits.
★★★★★
"The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content."
Ria Mukherjee
Parent
★★★★★
"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease."
Samriddha Mondal
Student
★★★★★
"One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development."
Vansh Agarwal
Student
★★★★★
"My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative."
Sonam Oswal
Parent of Dhairya
★★★★★
"Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation."
Sonu Goyal
Parent
★★★★★
"I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding."
Ritu Kedia
Parent
Teens and parents ask
They are classes for 13 to 18 year olds covering how to use generative AI tools well and within their age rules, how to verify AI output against reliable sources, and how to build machine learning models in Python.
It is splitting an AI answer into separate factual claims and checking each one against a primary source. In our worked example, 4 of 7 claims were supported, 2 were wrong and 1 had no support.
Only tools whose own terms allow their age. Some services set a minimum age of 18. Building AI in Python needs no AI account at all, so every student can do that part.
They build skills in research, checking and coding. We never write or rewrite assessed work, and we teach students to follow their school's AI rules and disclose AI help.
Yes. The Version 9.0 Digital Technologies elaborations include checking AI-generated content, training data issues, bias, machine learning and the hardware used to train AI.
It is the NSW Department of Education's own generative AI tool. The department says its staff and students in Years 5 to 12 have access to it.
Not to start. The use and check parts need no code; the build part starts with Python basics.
From 13. Younger students should look at our AI courses for kids or the Python AI course for kids instead.
These classes are for teens. Adults have separate courses with their own groups.
The opening lesson costs nothing and needs no card. Group and one-to-one monthly fees are given in the fees section above.
Also on this site
Other AI pages and our wider Australian guides.
States, cities, exams and topics.
Choosing AI learning for under-13s.
Building small models, ages 9 to 13.
The next step after these classes.
Age rules for popular AI tools.
For NSW senior computing students.
Start here
Fill in your details and we will phone at a time that suits. The trial lesson includes a short verification exercise and a first model, and ends with a clear recommendation.
More about our approach: how lessons are taught, and the complete course list.
WhatsApp us · +91 91233 66161 · connect@modernagecoders.com
From an Australian phone, WhatsApp gets the quickest answer. The +91 number belongs to our India-based team; there is no Australian office.
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