AI & Machine Learning
Prompt with purpose. Build with guardrails.
Explore responsible AI use, prompt engineering, and build with tools from OpenAI, Groq, and Fal in the classroom.
What students actually do
Project arcs that survive after the bell rings
Real tools, real instructors, and artifacts students keep — not worksheets that hit the recycling bin.
- 01
Use AI responsibly: data, bias, citations, and classroom-safe workflows
- 02
Practice prompt design for research, drafting, and debugging — with teacher guardrails
- 03
Build small projects with modern APIs and tools (e.g. OpenAI, Groq, Fal) where policy allows
- 04
Connect model behavior to real careers in ML ops, product, and design
What you'll build
Real artifacts from AI & Machine Learning
Students don't just learn — they ship. Here are the kinds of artifacts that come out of this track.
Prompt engineering notebook
A curated set of prompts with reasoning traces — research, drafting, debugging, and creative generation.
AI-powered mini app
A small working application that calls OpenAI or similar APIs — with responsible-use documentation.
Bias & ethics case study
A written analysis of model behavior, data bias, and responsible deployment considerations.
Tools & stack
Industry tools. Not toy demos.
Premium software and platforms provisioned so every student can participate — not a single shared login.
AI literacy that holds up to scrutiny
We teach students to steer models, not blindly trust them — matching the responsible-AI posture behind TSI-built apps and the getmytsi.org program story.
Explore more
Related pathways
Also explore
Fall 2026
Bring this track to your school
Request TSI to match instructors, hardware, and pacing to your building — the same full-service model as getmytsi.org.