NVIDIA Jetson: AI at the edge | Sri AI

Course overview

Running vision, speech and language models on a palm-sized Jetson board, from camera detection to a local chatbot.

Level: Intermediate  ·  Mode: Weekend lab

Who this course is for

Engineers building smart cameras, robots and offline AI devices.

What you will learn

• Set up JetPack and containers
• Run real-time camera AI with TensorRT
• Run language and vision-language models on Jetson
• Ship a self-contained AI device

Syllabus

1. Module 1: Jetson setup
2. Module 2: Hello AI World: classify, detect, segment
3. Module 3: TensorRT acceleration
4. Module 4: Language models on Jetson
5. Module 5: Speech on Jetson
6. Module 6: Building the device

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

Linux, the command line & Git, and Python for AI.

Open-source tools you will use

• jetson-inference
• jetson-containers
• Jetson AI Lab

Builds on NVIDIA's open Hello AI World tutorials and Jetson AI Lab.