NVIDIA Deep Learning Institute (DLI) Certification Course – Entering the World of AI with Jetson Nano

1. Organizing Company: NVIDIA Corporation

2. Course Schedule:
   September 20 (Sat) and 21 (Sun)
   09:00–17:30, 7.5 hours per day
   Participants who complete the full course will receive an official electronic certificate.

3. Course Venue:
   Shih Chien University, Classroom N501

4. Course Description:
   Have you ever wanted to build an AI robot that can see and understand the world? This course is your perfect starting point! You will learn how to collect image data, use deep learning to train a model capable of recognizing objects, and then deploy it onto a Jetson Nano to create your own smart recognition device.
   At an advanced level, you’ll work with YOLO to detect people, vehicles, and objects in videos.
   You will practice using Python throughout the course, and upon completion, you will receive an official NVIDIA certification—an excellent boost to your AI journey.

5. Course Content:

       Phase 1: Build Your AI Eyes (6 hours)

1. Introduction to Image Classification: From data collection to model training (2 hrs)

2. AI Team Challenge: Train your model to see more! (2 hrs)

3. Extended Applications: AI can do more than classify—it can predict! (1 hr)

4. Demystifying Model Training: How AI learns to recognize on its own (1 hr)

      Phase 2: Enable Your AI to Track the World (9 hours)

1. Speed Up Your AI: TensorRT—the secret weapon for edge devices (1 hr)

2. Jetson Inference: Deploy your model quickly (3 hrs)

3. Object Labeling: Teach AI to recognize objects in images (1.5 hrs)

4. YOLOv8 Model Training: Build a real-time detection assistant (2 hrs)

5. AI Detection Project: Write tracking commands with Python! (1.5 hrs)

6. Course Assessment:
   Pass the official NVIDIA online evaluation system to obtain the certification.

Group photo of the students attending the September 20 session, with a total of 30 participants.