📘 Jetson + AI Curriculum Guide¶
Welcome to the official documentation for the SJSU Cyber-AI Curriculum. This guide is designed for students to learn about embedded systems, Linux, AI, and cybersecurity through hands-on labs on the NVIDIA Jetson Orin Nano platform.
🧭 Getting Started¶
🔧 How to Build This Documentation¶
You can build this curriculum as a local HTML site or generate a PDF using MkDocs and the Material for MkDocs theme.
1. Install MkDocs and dependencies¶
% conda activate mypy311
pip install mkdocs mkdocs-material
pip install mkdocs-revealjs
2. Build and serve the site locally¶
mkdocs serve
Open your browser to: http://localhost:8000
3. Build for static HTML site¶
mkdocs build
HTML files will be generated in the site/ directory.
4. Export to PDF (Optional)¶
Install weasyprint or use browser print-to-PDF from localhost:8000.
5. Push to Github Pages (Optional)¶
mkdocs gh-deploy
📚 Curriculum Structure¶
🔰 Getting Started with Jetson¶
- ✅ sjsujetsontool Guide
- 📋 sjsujetsontool Cheatsheet
- 🔧 Introduction to NVIDIA Jetson
- 🚀 CUDA Programming on Jetson
🐧 Linux Fundamentals¶
🤖 AI & LLM¶
- 🧠 Deep Learning & CNN
- 🧠 Transformers & NLP Applications
- 🚀 Large Language Models on Jetson
- 📚 NLP Applications & LLM Optimization
- ✍️ Prompt Engineering & LangChain
- 🔎 RAG Applications with LangChain
👨🏫 Author¶
Author: Dr. Kaikai Liu, Ph.D.
Position: Associate Professor, Computer Engineering
Institution: San Jose State University
Contact: kaikai.liu@sjsu.edu
Learn. Build. Defend. Empower with Edge AI on Jetson.