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AI Opportunity Initiative

Don’t just learn AI.
Help make AI better.

Chahal Foundation gives adults access to advanced AI tools, hands-on AI coding, practical training, mentors, and the human judgment skills used to evaluate and improve AI systems.

Learn AI. Build with AI. Evaluate it. Improve it. Turn those skills into opportunity.

See how delivery works

The AI Opportunity Initiative is live and expanding in phases.

  • Free AI access
  • Hands-on AI coding
  • Human Data & AI Evaluation
  • Practical assessments
  • Credentials
  • Mentorship
  • Career pathways
Why your judgment matters

You already have something AI needs:
human judgment.

AI systems can generate answers, code, images, plans, and actions. But people still determine whether those outputs are correct, useful, safe, complete, and actually work.

Chahal Foundation helps people develop the tools and judgment to participate in the AI economy as contributors, not just consumers.

Chahal Foundation exists to make those skills accessible to people who may otherwise be priced out of the tools and professional networks shaping AI.

You do not have to stand outside the AI revolution.
You can help shape it.

People do the work AI cannot:

  • People compare alternatives.
  • People find mistakes.
  • People define quality.
  • People review code.
  • People test agents.
  • People contribute expertise.

Those abilities can be taught and strengthened.

The learner journey

Five stages, from first access to paid opportunity.

The goal is not simply AI literacy. It is a pathway from access, to building, to evaluation, to qualification, to economic opportunity.

Each stage builds on the one before it. Learners can enter wherever they are and keep the work they produce along the way.

  1. 01

    Access

    Get the tools.

    Free or subsidized access to AI models, coding agents, cloud resources, learning tools, and other technology where available.

  2. 02

    Build

    Make something real.

    Learn by creating real projects rather than only watching lessons.

  3. 03

    Evaluate

    Learn how AI gets better.

    Review outputs. Compare responses. Identify mistakes. Define quality. Test code and agents. Correct results.

  4. 04

    Qualify

    Prove what you can do.

    Complete projects, practical assessments, portfolio work, and relevant credentials.

  5. 05

    Earn

    Turn capability into economic opportunity.

    Career preparation, mentorship, employer introductions, internships, paid projects, and pathways toward work.

Employment and paid opportunities are not guaranteed.

How we work with institutions

You set the outcome.
We help deliver it.

Companies, foundations, workforce organizations, schools, and governments are already investing in AI skills and economic opportunity. Chahal Foundation can help turn those commitments into measurable local outcomes.

A delivery partner receives a defined outcome mandate and is accountable for executing it.

  1. Partner provides

    • Cash
    • AI / cloud / model access
    • Credentials / curriculum
    • Employee expertise
    • Employer / community relationships
  2. Chahal Foundation delivers

    • Recruit
    • Equip
    • Train
    • Build
    • Evaluate
    • Qualify
    • Connect
    • Measure

    In practice: local learner recruitment, eligibility and onboarding, technology access, structured instruction, Picasso and project-based learning, Human Data and AI evaluation, practical assessment, mentorship, career readiness, employer connection, outcome measurement, and quarterly reporting.

  3. Outcomes

    • Learners
    • Projects
    • Skills
    • Credentials
    • Interviews
    • Paid opportunities
    • Placements

Ways a partner can work with us

01

Direct delivery

The funder sponsors a Chahal Foundation cohort or program directly, against a defined learner capacity and reporting schedule.

02

Prime and local delivery

A national program operator or grantee holds the primary funding and mandate, and Chahal Foundation operates the Bay Area cohort or the Human Data and AI evaluation component.

03

Technology partnership

A technology company provides compute, AI credits, software, devices or curriculum while a separate funder supports program delivery.

04

Employer partnership

Companies contribute mentors, real projects, internships, interviews and hiring pathways rather than cash.

The goal is not to force every partner into one funding structure. It is to make Chahal Foundation straightforward to plug into an AI-opportunity commitment that already exists.

Join free AI training

There is no cost, and no prerequisite.

Tell us whether you are a learner, parent, mentor or company, and what kind of access or support would help most. You do not need a technical background to begin.

Register for upcoming AI Opportunity programs, cohorts, and free tool access as they become available.

This form connects you with the initiative; it is not a placement guarantee or confirmation of a specific cohort. We will use your email only for relevant Foundation follow-up.

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Free AI coding

Free AI coding.
Real AI skills.

Picasso is Chahal Foundation’s hands-on AI coding and learning environment.

The project becomes the classroom.

When someone builds with AI, they naturally practice many of the same judgment skills used throughout modern AI evaluation.

They learn to instruct models, inspect outputs, identify errors, compare alternatives, test results, and decide whether something is actually good enough.

That is why AI coding can be more than software education.

It can become practical preparation for the AI economy.

Picasso desktop app open on a new run, asking what to build today
Idea. A learner starts with something they actually want to build.
AI Workforce Transition

Human Data & AI Evaluation Pathway

Human Data is the industry term for work people do to test and improve AI. In practice it means comparing outputs, finding mistakes, reviewing code, and deciding whether AI actually completed a task correctly.

AI needs human judgment.
We teach it.

Many AI programs teach people how to use AI. Chahal Foundation also teaches the human skills used to test, evaluate and improve AI systems.

Behind better AI systems are people who evaluate outputs, identify failures, compare answers, define evaluation criteria, review code and test agents.

Model evaluation

Is an AI response correct, useful, complete, and appropriate?

response quality assessment

Response comparison

Which answer is stronger, and why?

preference ranking

Rubric creation

What should a high-quality response contain?

evaluation criteria design

Failure discovery

Where does the model make mistakes or break down?

adversarial probing, red teaming

Coding evaluation

Does AI-generated code actually work?

code correctness review

Agent testing

Did the AI agent complete the task correctly?

agentic task evaluation

Multimodal evaluation

Evaluate AI involving text, images, audio, video, and other modalities.

cross-modal assessment

Physical AI

Understand how human demonstrations, feedback, review, and evaluation contribute to robotics and embodied AI systems.

demonstration data, embodied evaluation

Skills to career pathways

Turn AI skills into economic opportunity.

  1. Learn
  2. Build
  3. Evaluate
  4. Qualify
  5. Connect to work

Participants may become qualified for roles such as:

  • AI evaluator
  • AI trainer / Human Data contributor
  • Coding evaluator
  • Agent tester
  • Quality reviewer
  • AI operations associate
  • Data and model quality roles
  • Technical and AI-enabled careers

Career placement support

Interview preparation, portfolio review and application support built into the pathway.

Employer connections

Introductions to employer partners who are hiring for AI evaluation and AI-enabled roles.

Qualified for opportunities

Assessments and credentials that give employers an independent signal of the skill.

This is a pathway to paid work, not a job guarantee. Completing the program does not guarantee employment, and hiring decisions always belong to employers.

Scalable funding model

A scalable model for AI opportunity.

Planning target

Our current planning target is approximately $500 in cash program support per learner, with AI, cloud, model, software and other technology contributed separately where possible.

The unit exists so an institutional partner can assign a measurable cohort size, then hold the Foundation to it.

These are target planning capacities, not historical Chahal Foundation cost results or guaranteed enrollment figures. Actual cohort economics depend on program design, learner needs, technology contributions, curriculum, support requirements and partner scope.

The target $500 supports

  • Structured curriculum
  • Project-based learning
  • Human Data / AI evaluation training
  • Assessment and credentialing
  • Mentor support
  • Career preparation
  • Employer connection
  • Impact measurement and program operations

Technology partners can contribute additional in-kind resources alongside cash support:

  • AI model and API credits
  • Cloud compute
  • Copilot and coding-agent access
  • Hardware
  • Curriculum
  • Employee mentors
  • Internships and apprenticeships

Sponsorship ladder

$50K

100 learners

Target capacity

$250K

500 learners

Target capacity

$500K

1,000 learners

Target capacity

$5M

10,000 learners

Target capacity

Target capacity only, derived from the $500 per-learner planning target. These figures describe intended delivery capacity, not learners already served.

Corporate & institutional partners

Turn your AI commitment into measurable human opportunity.

Whether your organization has committed cash, AI credits, cloud capacity, employee expertise or workforce opportunities, Chahal Foundation can help turn those resources into people trained, skills demonstrated, credentials earned and pathways to economic opportunity.

Fund

Sponsor learners, cohorts or community programs.

Equip

Provide AI models, API credits, cloud compute, coding tools, hardware and connectivity.

Teach

Provide curriculum, workshops and employee experts.

Mentor

Give employees structured ways to mentor learners.

Hire

Create internships, apprenticeships and career pathways.

Measure

Receive transparent reporting on:

  • Learners served
  • Completed projects
  • Credentials
  • Assessments
  • Mentor hours
  • Interviews
  • Placements
  • Wage progression where available

Partner language here is deliberately company-neutral. Chahal Foundation has no current funding relationship with any technology company or foundation.

Why Chahal as a delivery partner

Built in Silicon Valley.
Built to expand access beyond it.

Chahal Foundation is based in San Jose, in the center of the AI economy. That location puts the Foundation close to the companies, colleges, workforce systems and technical mentors shaping AI.

The mission is specifically to make those tools and networks reachable for people who would not otherwise have access to them.

  • Silicon Valley capability
  • Community access
  • Practical AI training
  • Human judgment skills

Proximity gives access to

  • Major AI companies
  • Technology employers
  • Community colleges
  • Workforce systems
  • Universities
  • Technical mentors
  • Startup and entrepreneurial networks

Proximity describes where the Foundation operates and who it can reach. It is not a claim of any existing partnership, endorsement or funding relationship.

Program architecture

One system, organized around the learner.

The programs are grouped by what they do for a learner rather than presented as a flat directory.

Access & learning

Remove the cost and access barrier first.

  • AI for Everyone

    Practical AI literacy and responsible use for people outside technology networks.

  • AI Access Labs

    Guided access to AI tools, coding assistants and project-based learning environments.

  • Picasso / Free AI Coding

    Hands-on AI coding where learners direct, review and test real work.

  • AI Teacher Corps

    Educator training, classroom-ready resources and responsible-AI practice.

Skills & work

Build the judgment skills the AI industry actually uses.

  • AI Workforce Transition

    Retraining and career navigation for workers adapting to AI-driven job change.

  • Human Data & AI Evaluation

    Model evaluation, rubrics, response comparison, failure discovery and agent testing.

  • AI Career Navigator

    Skill gaps, resumes, interviews, portfolios and realistic AI-era career paths.

  • AI Mentor Corps

    Volunteer mentors for mock interviews, portfolio feedback and career guidance.

  • Responsible AI Education

    Safe AI use, privacy, misinformation and productive use for school and work.

Opportunity & scale

Connect qualified people to real economic opportunity.

  • AI Infrastructure Workforce Academy

    Data-center, electrical, fiber, cooling, networking and energy career pathways.

  • AI Entrepreneurship Initiative

    Training and mentorship for founders using AI for operations and growth.

  • Community AI Labs

    Local access points combining devices, connectivity, guided learning and mentors.

  • Employer & Corporate Partnerships

    Internships, apprenticeships, employer introductions and hiring pathways.

Outcomes

Measure what changes.

These are the measures the initiative reports against, not results already achieved. Measurement begins with the first cohorts, and values are published once they are verified. Fundraising activity is reported separately from learner outcomes.

Program metric

Access

  • Learners receiving AI tool access
  • Value of donated AI, cloud and software credits where verifiable
  • Devices or resources distributed where applicable

Program metric

Learning

  • Sessions completed
  • Projects completed
  • Curriculum completion
  • Mentor hours

Program metric

Qualification

  • Practical assessments
  • Credentials earned
  • Portfolio projects
  • Demonstrated Human Data and AI evaluation competencies

Program metric

Economic opportunity

  • Job applications
  • Interviews
  • Internships
  • Paid AI projects
  • Placements
  • Wage progression where verified

Do not just prepare for the AI economy.
Participate in it.

Charitable scope

A clean line between charitable programs and commercial hiring.

The training reflects skills genuinely used across the AI industry, which is why the curriculum is built around evaluation, rubrics, code review and agent testing.

Charitable funding supports

  • Access
  • Education
  • Training
  • Assessment
  • Credentials
  • Mentorship
  • Career preparation
  • Independent placement support
  • Commercial hiring is independent of the Foundation’s charitable programs.
  • Participation does not guarantee employment with any company.
  • Foundation funds do not subsidize any company’s commercial labor pool.
  • Qualification is independently assessed.
  • Graduates remain free to pursue employment throughout the industry.
Nonprofit recipient

Chahal Foundation is the legal applicant and donation recipient.

EIN 39-5160137. 501(c)(3) public charity. Contributions are tax-deductible to the extent allowed by law.

Legal details