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Austin, Texas

AI and Python classes for teens in Austin, Texas

How should an Austin teenager start learning AI?

With Python and messy real data, before any model. Modern Age Coders teaches Austin teens live online, in level-matched groups or one to one: first Python, then cleaning a public dataset such as the City of Austin's 62,274-row tree inventory, then training and testing machine learning models they can explain.

Austin teenagers hear about AI every day, and many want to build it rather than just use it. The honest first step is not a neural network. It is learning what goes wrong when real data has holes in it, because every model inherits those holes. This page walks through a project we use with teens on the City of Austin’s open tree inventory, explains where Texas is putting money into AP Computer Science Principles, and sets out how our live classes fit around an Austin school week.

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Facts last verified 18 October 2026. Teaching is online; no Austin branch is claimed.

Courses for Austin teens

Four routes into Python and AI

Pick by goal; the free first lesson checks the starting level for you.

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Grades 7 to 12

Python for Teens

Python from first principles to files, functions and data, the base every AI project stands on.

See the syllabus
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Grades 9 to 12

Data Science for Teens

Cleaning, grouping and charting real datasets, including the Austin tree inventory on this page.

See the syllabus
 AI and Machine Learning for Teens course thumbnail
Grades 9 to 12

AI and Machine Learning for Teens

Machine learning models trained, tested and broken on purpose, so a student knows what a score means.

See the syllabus
 AP Computer Science Principles course thumbnail
Grades 10 to 12

AP Computer Science Principles

AP Computer Science Principles, including the Create performance task, as support beside a school course.

See the syllabus

Browse the course atlas for more than one hundred options and use the coding roadmap to check prerequisites.

The four we are known for

Python, AI, vibe coding and agentic coding

These run underneath everything above. Every one is live and online, placed by ability rather than by age, and the first class is free.

Vibe Coding for Teens course thumbnail
Vibe codingAges 13 to 17

Vibe Coding for Teens

Python, web and AI projects where the learner still owns the thinking.

See the syllabus
 Python Automation Course course thumbnail
Python and AICollege and adult

Python Automation Course

Automate the work you already do, then let AI carry part of it.

See the syllabus
 AI and Machine Learning for Teens course thumbnail
AI and MLAges 14 to 18

AI and Machine Learning for Teens

Train a model, read what it learned, and be able to say why it is wrong.

See the syllabus
 Codex & Claude Code course thumbnail
Agentic codingProfessionals

Codex & Claude Code

Run AI coding agents on real work without losing control of the codebase.

See the syllabus
Signature project

Finding the holes in Austin’s tree inventory

The City of Austin publishes a Tree Inventory of public trees on its open data portal, in the public domain. We queried it on 18 October 2026. A teen’s first job is not to model it but to find out what is missing.

Missing and placeholder values in the Austin Tree Inventory (our counts from SoQL queries, 18 October 2026)
What we checkedRowsWhy it matters
All rows62,274The starting count, recorded before anything is dropped
Species left empty64A true missing value, easy to find with a null check
Diameter recorded as 03,630A disguised missing value: no tree is zero inches across
Species labelled Stump986A real record, but not a living tree
Species labelled Unknown372Filled in, yet carrying no information
Seven vacant-site labels combined1,478Places for a tree, counted as if they were trees

The easy blanks

A null check finds the 64 rows with no species in one line of code. Students who stop here believe the data is almost perfect, which is the trap.

The hidden blanks

Zero diameters, Unknown, Stump and the vacant-site labels all pass a null check. Together they are thousands of rows that would quietly distort any average or model.

The double names

The same tree appears under two labels: Southern Live Oak (5,815 rows) and Oak, Live (Southern) (3,946). Cedar Elm and Elm, Cedar split the same way.

In class, a student writes the checks in pandas: df["species"].isna().sum() for the true blanks, (df["diameter"] == 0).sum() for the disguised ones, and a value count on the species column to surface the placeholders. Even the column names teach something: the city’s file spells one of them longtitude, so code that expects longitude fails on the first run.

What these numbers are, and are not

Every count above is ours, from queries we ran on one day. The 1,478 is our own total of seven label counts. The city describes the file as public trees inventoried as of March 13th, 2020, compiled from several departments, and warns that it is not a complete inventory and that some errors or duplicates may exist. That warning is part of the lesson, not a footnote.

From cleaning to AI

Why a model trained on the raw file would mislead you

Teens who skip the cleaning get a model that is confident and wrong. Here is the sequence we teach instead.

Our five-step route from raw Austin data to a first model
StepWhat the student doesWhat they learn
1. ProfileCount rows, nulls, zeros and the most common labelsData quality is measured, not assumed
2. DecideChoose to drop, recode or keep each problem group, and write down whyCleaning is a set of judgments with consequences
3. Merge labelsMap the duplicate species names to one name eachString matching and lookup tables
4. ModelPredict whether a record is a large tree from species and locationTrain and test splits, and a baseline to beat
5. CompareTrain again on the raw file and compare scoresHow unclean data inflates or hides error

The fifth step is the one teenagers remember. When the zero diameters stay in, a model can look accurate simply because thousands of rows are trivially “small”. Seeing a score move because of a cleaning choice, not a smarter algorithm, is the moment a student starts treating AI results with healthy suspicion.

Tools

Python, pandas and scikit-learn in Google Colab or Jupyter, all free, so an Austin student can keep working between classes.

Time

Profiling and cleaning take two or three classes; the first model and the comparison take two more.

Output

A short written notebook the student can show, explaining each decision in plain English.

Austin facts we used

Austin in a few official numbers

From the City of Austin’s own open data portal and council page, read on 18 October 2026.

City of Austin facts used on this page
TopicFigureSource
Public tree inventory62,274 rows, as of March 13th, 2020City of Austin Open Data, Tree Inventory
Distinct species labels481 (our count, before merging duplicates)Our query on the same dataset
Largest diameter value111Our query on the same dataset
Public library locations23 records, all listing Wi-FiCity of Austin Open Data, Austin Public Library Locations
Library training offered22 of the 23 location recordsSame dataset
City CouncilA mayor and ten districts, District 1 to District 10City of Austin, City Council page

The library figure is practical as well as interesting: a teen without a quiet place to code at home can join a class from any of those locations with a laptop and headphones. The 481 species labels shrink once duplicates are merged, and estimating by how much is a good extension task.

Texas and AP CSP

Texas is paying districts to start AP Computer Science Principles

Texas context in brief; graduation credit and the standards are explained in depth elsewhere on this site.

The Texas Education Agency runs an AP Computer Science Principles Grant that, in TEA’s words, “helps school districts launch AP CSP courses and build CTE computer science pathways.” TEA lists grant cycles from 2024 to 2026 (LASO 2) through 2027 to 2029 (LASO 5), and its fall 2026 progress survey for the LASO 4 cycle closes on Nov. 15, 2026. Code.org’s 2025 data puts Texas high schools offering computer science at 48.0% in 2023 to 2024 (Code.org (2025). 2025 State of AI + CS Education). For the graduation rules and the standards, see coding classes in Texas.

If AP CSP is offered

Our AP Computer Science Principles course runs alongside the school class, with extra practice on the Create performance task and the exam.

If it is not

A student can still learn the same ideas with us and decide later whether to sit the exam; College Board rules on exam registration apply.

Either way

School assignments and the Create task stay the student’s own work. We teach the ideas; we never write graded work.

Class times

Central Time, and classes that move with your week

Austin follows America/Chicago in the IANA time zone database. Our teachers are based in India.

Flexible scheduling

Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays.

Two offsets a year

From March to November India time is 10 hours 30 minutes ahead of Austin; in winter the gap widens to 11 hours 30 minutes.

The dates to note

The 2026 to 2027 switches fall on Sunday, November 1, 2026 and Sunday, March 14, 2027. Your class time is always stated in Central Time.

A data bug on the calendar

Teen students store class times with Python’s zoneinfo module and America/Chicago, then test a timestamp on each side of November 1, 2026. It is the same lesson as the tree data in another form: a value that looks fine can still be wrong.

Learning ladder

From first Python to models you can defend

Grade ranges are a guide; the trial lesson sets the start.

Grades 7 to 8

Python foundations

Variables, loops, functions and files, with small data tasks.

Python for TeensJavaScript for Teens
Grades 9 to 10

Data work

Cleaning and charting real datasets such as the Austin inventory.

Data Science for TeensGit & GitHub Course for Teens
Grades 10 to 12

Machine learning

Training, testing and comparing models on cleaned data.

AI and Machine Learning for TeensProblem Solving for Teens
Grades 11 to 12

AP and portfolio

AP Computer Science Principles or A, and a project portfolio.

AP Computer Science PrinciplesAP Computer Science A
Building, not prompting

Can an Austin teen learn AI just by using chatbots?

They can learn to use them. Building and judging AI takes code and data.

A chatbot can write the pandas line that counts nulls. It will not tell a student that 3,630 zero diameters are also missing, unless the student already suspects it and asks. The suspicion comes from having looked at the data by hand.

Our teen courses keep that order: write and read the code first, inspect the data, then use AI assistants for speed once the student can check their output. Teens also learn the age rules: several AI tools set minimum ages in their own terms, and we follow them.

The Austin project is small on purpose. A teen who can explain every row they dropped is ready for bigger models; one who cannot is not, whatever the tool. The longer argument is in is coding still worth learning in 2026.

Delivery

Live from India, on an Austin schedule

Every class is a live lesson with a teacher, not a recording.

Join from anywhere in Austin

Home, a library location or a quiet room at a relative’s house: a laptop, sound and a stable connection are all a student needs.

Built for US grades

Teachers plan in US grade levels and around the Texas school year, with extra support near AP exam season.

Start with a trial

The first lesson is free and practical; afterwards you get a recommended course, level and time with no card details requested.

Level-matched batches

Groups of fifteen to twenty teens working at one stage, from Austin and other US cities.

Private classes

One teen, one teacher, for students preparing for AP or racing ahead on AI.

Confirmed in Central Time

Weekdays or weekends, chosen by you, and written in Central Time every time.

What we do not claim

There is no Modern Age Coders office in Austin. Teaching is online only, and we are not connected with the City of Austin, TEA, the College Board or Code.org.

Fees

What Python and AI classes cost in Austin

Three options, all shown here.

First classUSD 0

A free first lesson that ends with a level, a course and a suggested class time.

Group tuitionUSD 100

A monthly fee for a level-matched batch of fifteen to twenty teens.

Private tuitionUSD 150

A monthly fee for one teen with a dedicated teacher.

Fees are charged in US dollars at one rate for the whole country. Billing begins only after the free lesson, when you have agreed the course and time; see the pricing page for holidays and missed sessions.

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Reviews

What families say on Google

Rated 4.9 across 547 Google reviews. These are real reviews, reproduced as written.

★★★★★

"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

Free placement class

Book a free Python or AI lesson

Tell us your teen’s grade and goal. A first-time coder gets a Python task; a student with some Python can start on the Austin tree data.

+1

FAQ

Austin teen Python and AI questions

What Austin parents and students ask most.

Does my teen need to know Python before learning AI?

Yes. We start with Python and data handling, because every machine learning step depends on reading and fixing the code and the data.

What is the Austin tree inventory project?

Students query the City of Austin Tree Inventory, count true and disguised missing values, merge duplicate species names, and then compare a model trained on raw and cleaned data.

Are the tree counts on this page official?

No. They are our own queries from 18 October 2026. The city says the inventory is not complete and may contain errors or duplicates.

What does a disguised missing value mean?

A value that is filled in but carries no real information, such as a diameter of 0 or a species of Unknown. A simple null check does not catch it.

Does Texas fund AP Computer Science Principles?

TEA runs an AP Computer Science Principles Grant that helps districts launch AP CSP courses and build computer science pathways, with cycles listed through 2027 to 2029.

Can you help with the AP CSP Create task?

We teach the concepts and the skills the task needs. The submitted work must be the student's own, so we never write it for them.

When do Austin classes run?

Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. Times are given in Central Time.

What equipment does my teen need?

A laptop or desktop, a microphone and a reliable connection. Python tools such as Colab and Jupyter are free.

Is there an Austin center?

No. All teaching is live and online from India, and we do not claim a local office.

How do the fees work?

There are three prices: a trial lesson at zero cost, a monthly rate for a group, and a higher monthly rate for private classes, all listed in the fees block. Payment starts after the trial.

More to read

Next steps for Austin teens

Teens ready for more AI can read AI courses for high school students and AI research programs. For tools, see Google Colab help and Jupyter notebook errors.

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