AGSB / Y / 01
AI literacy for kids
What AI is, and is not.
Open the syllabusUnited States · K-12 schools · State AI guidance
Most states have now told their schools something about artificial intelligence. Far fewer have said that students need computer science to understand it. In the 2025 State of AI + CS Education report, 34 states had AI guidance for schools, and 17 of them emphasized computer science as the foundation of AI literacy. This page lists every state and DC with what the report says about its guidance, separates guidance on using AI tools from guidance on learning how AI works, and gives families a short list of questions to ask their own school.
Live classes since 2020 · 10,000+ students · AI taught from the computer science up
In short
According to Code.org (2025), 2025 State of AI + CS Education, 17 states have official school AI guidance that emphasizes computer science as fundamental to AI literacy: Alabama, California, Colorado, Hawaii, Indiana, Kentucky, Maine, Massachusetts, Montana, North Carolina, Ohio, Oklahoma, Rhode Island, Utah, West Virginia, Wisconsin and Wyoming. Iowa was in progress. The report counts 34 states with AI guidance of some kind. Modern Age Coders teaches this live online for US students, in a batch or one to one, and the first class is free.
Learn how AI works
Age-appropriate courses that explain what AI is and how it learns, rather than only how to prompt it.

AGSB / 01
Ages 8 to 14. How AI works, safely and without adult-only tools.
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AGSB / 02
Upper elementary and middle school. Small smart projects in real code.
Open the syllabus →
AGSB / 03
Ages 13 to 18. From Python to models they train themselves.
Open the syllabus →Every state and DC
The middle column is Code.org’s policy status. The right column is our short summary of what each state’s report page says about AI guidance; "Not stated" means the page does not name any state AI guidance, which is not the same as the state having none.
| State | Guidance treats CS as fundamental to AI | What the report page says (our summary) |
|---|---|---|
| Alabama | Yes | State AI policy template recognizes CS as fundamental |
| Alaska | No | Strategic Framework for AI in K-12 Education; CS role not yet clarified |
| Arizona | No | State AI guidance describes how CS standards relate to AI literacy |
| Arkansas | No | Not stated; the state offers an AI course in data science topics |
| California | Yes | CS a core part of K-12 AI education; an AI Working Group under SB 1288 (2024) |
| Colorado | Yes | Guidance recommends AI literacy in local graduation requirements |
| Connecticut | No | Guidance on practice and risks; AI literacy not yet addressed |
| Delaware | No | Generative AI guidance; CS role not yet clarified |
| District of Columbia | No | Not stated |
| Florida | No | Not stated; a K-12 AI Education Task Force defines AI literacy |
| Georgia | No | Guidance covers educator learning; CS not yet addressed |
| Hawaii | Yes | Guidance pairs AI literacy with CS education |
| Idaho | No | Not stated |
| Illinois | No | SB 1920 (2025) requires statewide AI guidance |
| Indiana | Yes | Guidance calls for integrating AI and CS |
| Iowa | In progress | Not stated |
| Kansas | No | Not stated; course descriptions combine AI and CS |
| Kentucky | Yes | Guidance places CS at the center of AI literacy |
| Louisiana | No | House and Board of Education resolutions on AI education |
| Maine | Yes | AI Guidance Toolkit roots AI understanding in CS |
| Maryland | No | Not stated; a funded AI needs assessment and task force |
| Massachusetts | Yes | Guidance aligns AI literacy with state CS standards |
| Michigan | No | Guidance by Michigan Virtual, endorsed by the department |
| Minnesota | No | Guidance defines AI literacy; CS role not yet clarified |
| Mississippi | No | Not stated; a statewide AI task force |
| Missouri | No | Guidance informed by the state CS Advisory Council |
| Montana | Yes | Guidance says AI in education needs a foundation including coding |
| Nebraska | No | Not stated |
| Nevada | No | Guidance defines AI literacy; CS role not yet clarified |
| New Hampshire | No | Not stated |
| New Jersey | No | Not stated; grants for teaching with and about AI |
| New Mexico | No | Not stated |
| New York | No | Not stated |
| North Carolina | Yes | Guidance includes designing AI solutions |
| North Dakota | No | Not stated |
| Ohio | Yes | Guidance links AI to technology and CS standards |
| Oklahoma | Yes | Guidance calls CS essential to AI literacy |
| Oregon | No | Guidance ties how AI functions to CS; role not yet clarified |
| Pennsylvania | No | Not stated |
| Rhode Island | Yes | Guidance promotes AI literacy and CS for all students |
| South Carolina | No | Not stated; an AI education task force |
| South Dakota | No | Not stated |
| Tennessee | No | A state law requires every district to set AI policies |
| Texas | No | Not stated |
| Utah | Yes | Guidance clarifies the CS role; an AI Education Specialist |
| Vermont | No | Not stated |
| Virginia | No | Not stated; AI literacy training for educators |
| Washington | No | Guidance does not yet clarify the CS role |
| West Virginia | Yes | Guidance emphasizes CS as fundamental to AI literacy |
| Wisconsin | Yes | Guidance says AI should be taught across subjects, including CS |
| Wyoming | Yes | Guidance says AI literacy includes elements of CS |
Source: Code.org (2025). 2025 State of AI + CS Education, state report pages, CC BY-NC-SA 4.0. The middle column is our reading of each published toggle and matches the report’s total of 17; the right column is our paraphrase of each page. Data were finalized on December 1, 2025, so newer guidance is not reflected. We are not connected with Code.org (now CodeAI) or any state agency.
The seventeen
To count, the report’s rubric needs "official guidance endorsed by the state education agency that emphasizes the fundamental role of CS education in AI literacy". Here is how some of the seventeen put it.
| State | How the guidance connects AI and CS |
|---|---|
| Maine | An AI Guidance Toolkit says students need a basic understanding of AI "rooted in foundational computer science and computational thinking" |
| Hawaii | Separates using AI tools (AI literacy) from how AI works (CS), and says students need both |
| Kentucky | Positions digital citizenship and CS as central to AI literacy, and calls on all schools to offer CS |
| Oklahoma | Calls CS education essential to understanding how AI systems work, what they can do and their limits |
| Colorado | Recommends local graduation requirements include AI literacy, data literacy and ethical AI use |
| North Carolina | Defines AI literacy to include designing AI solutions, not only using them |
The report puts it bluntly: "only 17 of the 34 states that have AI guidance emphasize CS". The rest mostly address responsible use, academic integrity and teacher practice.
Several of those pages are close. Alaska, Delaware, Minnesota, Nevada, Oregon and Washington all have guidance that the report says does not yet clarify the role of computer science.
Some states moved by statute. Ohio’s budget bill required that "all school districts adopt an AI policy by July 2026". The report also notes "Senate Bill 1711 requires all public school districts to create AI policies" in Tennessee, and an Illinois law requiring statewide AI guidance.
A district AI policy usually governs how tools may be used. Whether students learn how AI works is a separate curriculum question.
Using vs learning
CodeAI separates "AI education", students learning about AI, from "AI in education", the adoption or regulation of AI tools. Most state guidance began with the second.
| Question | AI in education | AI education |
|---|---|---|
| What it covers | Rules for using AI tools in school | Teaching how AI systems work |
| Typical topics | Privacy, academic integrity, teacher use | Data, models, bias, design, limits |
| Who it mainly guides | Administrators and teachers | Curriculum and course design |
| Where CS fits | Rarely mentioned | The foundation |
The 10 Policies page says its references to AI education "are intended to describe students learning about AI not the adoption or regulation of AI tools." A student who can only prompt a chatbot has learned a tool; a student who knows what data, models and probability are can judge any tool.
That is why the report counts only guidance that treats computer science as fundamental.
If your state’s guidance is mostly about use, your child’s school may teach AI rules without teaching AI. Families can fill that gap with a short, age-appropriate course on how models learn.
Age rules still apply. Many AI products set minimum ages in their own terms, and some are for adults only. We never place an under-18 student on an adults-only tool.
Questions to ask
Our list for a parent-teacher conference or a school board meeting. None needs technical knowledge to ask.
Focus on what AI is and is not, and on never sharing personal details with any tool.
Ask whether students learn that AI can be confidently wrong, and how to check.
Ask about disclosure rules, AP and college expectations, and whether a CS course covers AI.
How AI decides
This is the kind of lesson the seventeen states are pointing at: not using an AI, but building the simplest one and watching it go wrong. Our example uses only the Python standard library.
import math
# (weight in grams, width in cm) and a label: our made-up training examples
examples = [
((150, 7.0), "apple"),
((170, 7.5), "apple"),
((130, 7.4), "orange"),
((120, 6.8), "orange"),
((190, 8.0), "apple"),
]
def predict(fruit):
nearest = min(examples, key=lambda ex: math.dist(ex[0], fruit))
return nearest[1], round(math.dist(nearest[0], fruit), 2)
print(predict((165, 7.4)))
print(predict((125, 7.0)))
print(predict((142, 9.5)))Output: ('apple', 5.0), ('orange', 5.0), ('apple', 8.38). The first two answers look sensible. The third is the lesson: a fruit 9.5 cm wide, wider than anything in the data, is called an apple almost entirely because of its weight.
The model "learns" nothing but stored examples, and decides by distance. math.dist measures how far apart two points are, and min with a key picks the closest example.
Grams run into the hundreds while centimetres stay under ten, so weight swamps width in the distance. Real systems rescale their inputs for exactly this reason.
A student who has seen a model fail for a reason they can name will ask better questions of any AI tool: what data was it trained on, and what did it pay attention to?
That habit is what guidance treating CS as fundamental is after, and it needs no adult-only product at all.
Where students are
How students usually progress, from using AI to understanding it.
| Stage | What it looks like |
|---|---|
| 1. User | Has seen AI tools and thinks they simply know things |
| 2. Skeptic | Knows AI can be wrong and checks its answers |
| 3. Explainer | Can say how training data shapes a model’s output |
| 4. Builder | Has trained and tested a small model of their own |
Stage 2 is the most important step for younger children, and it needs no account on any AI product.
Stages 3 and 4 are where computer science comes in.
Try breaking the fruit example: add a strange fruit and see what it predicts.
Every surprising answer is a clue about how the model works.
The catalogue
Live, teacher-led and matched to age, in groups or privately.
AGSB / Y / 01
What AI is, and is not.
Open the syllabusAGSB / Y / 02
First smart projects.
Open the syllabusAGSB / Y / 03
AI-assisted making, supervised.
Open the syllabusAGSB / T / 01
Train real models.
Open the syllabusAGSB / T / 02
The data behind AI.
Open the syllabusAGSB / T / 03
Models without code first.
Open the syllabusAGSB / F / 01
The language of most AI work.
Open the syllabusAGSB / F / 02
Data, algorithms and impact.
Open the syllabusAGSB / F / 03
The maths inside models.
Open the syllabusHow lessons 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.
Weekdays
After school, in US time zones.
Weekends
Good for longer model-building sessions.
1-on-1
For a student with a specific AI project.
Only tools whose terms fit the student.
Data, training and limits explained.
Small models students test themselves.
Disclosure habits from the first week.
Live online across the US.
Fifteen to twenty per batch, or one to one.
Student work
A few of the things our learners have built. The student labs page shows more.

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
Billed each month in US dollars, with no long contract. A short AI literacy course of a few months is a common choice alongside school.
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
Unedited words from parents’ Google reviews.
★★★★★
"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
Questions from families
The 2025 State of AI + CS Education report from Code.org counts 34 states with AI guidance, and 17 whose guidance emphasizes computer science as fundamental to AI literacy.
Alabama, California, Colorado, Hawaii, Indiana, Kentucky, Maine, Massachusetts, Montana, North Carolina, Ohio, Oklahoma, Rhode Island, Utah, West Virginia, Wisconsin and Wyoming. Iowa was in progress.
Not necessarily. No means the guidance did not meet the report's test of treating CS as fundamental, or did not exist. Alaska, Delaware and Minnesota, for example, have guidance that the report says does not yet clarify the CS role.
No. The 2025 report counts zero of 50 states with an AI plus computer science graduation requirement.
In some states, yes. The report notes an Ohio budget provision requiring every district to adopt an AI policy by July 2026, and a Tennessee law requiring district AI policies.
AI education means students learning how AI works. AI in education means rules for using AI tools in school. CodeAI uses the terms this way, and most early state guidance covered the second.
It depends on the tool and the child's age. Many AI products set minimum ages in their terms, and some are adults only. Check the terms, and keep personal details out of any tool.
From the inside: data, examples, simple models the student builds and breaks, using only age-appropriate tools. We never put an under-18 student on an adults-only product.
Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays.
No. We run our own classes and only report what these organisations have published, with links to the originals.
Elsewhere on this site
More on AI and computer science for US students.
Our pages for US families.
For students ready to build models.
Choosing an AI course at 13 to 18.
Disclosure and good habits.
Ideas to build next.
One of the seventeen, up close.
Common Core and traditional math compared from the standards, with a worked example.
Computer science graduation requirements in all 50 states and DC, with state sources.
Which states have K-12 computer science standards, and which include AI.
Start here
Tell us your child’s age and what they already do with AI, if anything. The first lesson shows how a model learns, with no account on any AI product needed.
Read about our teaching method, or open the course list to see every syllabus.
WhatsApp us · +91 91233 66161 · connect@modernagecoders.com
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