Why AI literacy is now a baseline skill
In 2026, the question isn’t whether your child should learn AI\u2014it’s whether they should learn it now or two years late.
Every career your child will pursue will involve AI. Whether they become engineers, doctors, designers, lawyers, researchers, or entrepreneurs\u2014AI will be a baseline tool, the way Excel is a baseline tool today. Students who learn AI now will be 5\u201310 years ahead of their peers in college, internships, and the careers that follow.
But the AI literacy market is full of noise. “Kids coding” classes that teach Scratch and call it AI. “AI summer camps” that show kids ChatGPT prompts. Online courses that bury 14-year-olds in math-heavy theory before they’ve built anything.
Our AI for Students program is different because it’s designed by people who actually build with AI for a living\u2014not generalist teachers re-skinning a coding class as “AI.”
What students actually learn
The 6-month program covers four progressive skill layers:
Layer 1: AI literacy. What AI is, how LLMs work, where the limits are, how to use AI responsibly. This isn’t optional theory\u2014it’s the foundation that prevents students from being intimidated by hype or fooled by hallucinations.
Layer 2: Prompt engineering. How to get genuinely useful work out of AI tools. Chain-of-thought, few-shot examples, building workflows. Most adults don’t use AI tools well; we teach 14-year-olds to use them as power users.
Layer 3: Python and ML basics. Real Python\u2014not block-based or simplified versions. Students learn to manipulate data with pandas, visualize it with matplotlib, build their first machine learning models with scikit-learn. By month 4, they’re comfortable with code.
Layer 4: Building AI applications. Calling Claude or OpenAI APIs from Python. Building chatbots, summarizers, classifiers. The final two weeks are a portfolio project where each student ships something real.
Why this matters for college and career
Three concrete advantages our students walk away with:
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A portfolio of 5-7 real AI projects they can show in college applications, internships, and conversations. This puts them in the top 1% of high schoolers globally.
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Foundation for advanced college programs. Students entering CS, data science, or engineering programs at college level skip 1-2 years of foundational catch-up.
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Future-proofing. AI skills compound. Students who start now have built mental models that will let them learn whatever new AI techniques emerge in 2027, 2028, 2030.
How the class works
Format: Hybrid \u2014 some sessions in-person at Wakad campus, some online via live Zoom (for flexibility around boards/exam schedules).
Schedule: Weekend batches only. Saturday + Sunday, 2-hour sessions. Morning or evening batches available.
Batch size: Capped at 20 students for hands-on attention.
Faculty: Led by AI practitioners with experience building production AI systems. Not generalists.
Tools: Google Colab (free), Python, scikit-learn, Claude/OpenAI APIs (we provide credits for the program).
Apply for the next batch
AI for Students batches start every 3 months. Next intake details and schedule available via WhatsApp\u2014reach out to discuss your child’s grade level, prior experience, and the right batch fit. Seats fill quickly given 20-student limit.