Build
AI coding mentor
Help learners turn an idea into a working AI-assisted project.
A session might be 60 minutes pairing with one learner on a stuck feature, reading what the model produced and deciding what to change.

AI Mentor Corps connects people working across technology, AI, product, engineering, recruiting, education, design and business with learners preparing to participate in the AI economy.
Mentors help learners turn access into capability by reviewing projects, explaining how AI systems are evaluated, giving practical feedback, and helping translate new skills into opportunity.
See the AI Opportunity InitiativeEach mentor role supports a specific stage of the learner journey: access, build, evaluate, qualify, earn.
Build
Help learners turn an idea into a working AI-assisted project.
A session might be 60 minutes pairing with one learner on a stuck feature, reading what the model produced and deciding what to change.
Evaluate
Teach learners how to review AI outputs, identify errors, and explain what needs improvement.
A session might be 60 minutes with five learners comparing two AI answers to the same question and explaining what makes one stronger.
Evaluate
Help learners test whether AI agents actually complete real tasks correctly.
A session might be giving an agent a multi-step task, then walking learners through where it went wrong and how they would prove it.
Evaluate
Teach learners how to define quality and create clear evaluation criteria.
A session might be turning a vague standard like “good summary” into a short rubric learners can apply consistently.
Qualify
Review projects and help learners explain what they built, how they used AI, what failed, and how they improved it.
A session might be a 30-minute review of one project, focused on how clearly the learner explains their own decisions.
Earn
Help learners translate skills into realistic roles, applications, interviews and opportunities.
A session might be a mock interview for an AI evaluation role, followed by direct feedback on how the learner described their work.
Evaluate
Support specialized pathways involving images, video, robotics, data review or embodied AI.
A session might be showing learners how to judge whether an image or video output is accurate, complete and appropriate.
Career help remains part of the program, alongside the technical mentoring above.
Employees help learners improve resumes, portfolios, profiles and career plans.
Engineers, designers and product professionals review learner AI projects.
AI practitioners teach learners how to compare outputs, find failures, assess quality and test AI systems.
A group of volunteers supports learners through a structured multi-week program.
A practitioner teaches a focused subject such as AI coding, model evaluation, agents, cloud AI, multimodal systems or responsible AI.
Examples of mentor formats we can support. Available formats depend on cohort scheduling and volunteer capacity.
Companies can combine employee volunteers with program funding, AI and cloud credits, and employer connections into a deeper delivery partnership.
Build a mentor cohort with usIndividuals and employers can describe the experience, volunteer time, audience, format, and support they can offer. The Foundation will work with participating teams to shape a useful and responsible session.
Describe availability
Share remote or in-person preferences and the time you could realistically offer.
Confirm employer rules
Check matching, volunteer-grant, privacy, and approval requirements directly with your employer.
Propose a team format
Outline the skills, audience, session structure, and safeguards your team could support.