Jetson Nano Practice Exam

Jetson Nano Practice Exam

The Jetson Nano is a small but powerful computer developed by NVIDIA that is mainly used for Artificial Intelligence (AI) and machine learning projects. Despite its compact size, it can handle heavy tasks like image recognition, robotics, and smart devices. This certification helps learners understand how to use Jetson Nano to create intelligent systems that can process data and make decisions in real time.

By completing this certification, candidates will learn how to set up the Jetson Nano, program it, and use it for real-world projects. It is especially useful for beginners who want to explore AI, as well as developers and engineers looking to build smart applications. Jetson Nano makes learning and experimenting with AI accessible and practical.

Who should take the Exam?

This exam is ideal for:

• Robotics Engineer
• AI/ML Developer
• Embedded Systems Engineer
• IoT Developer
• Research Student in AI & Robotics

Skills Required

• Basic programming knowledge (Python or C++)
• Understanding of AI/ML fundamentals (helpful but not mandatory)
• Interest in hardware and embedded devices
• Problem-solving and logical thinking

Knowledge Gained

• Setting up and configuring Jetson Nano
• Running AI and ML models on hardware
• Using Jetson Nano for robotics and automation
• Working with IoT and real-time AI applications
• Hands-on experience with computer vision and deep learning

Course Outline

The Jetson Nano Exam covers the following topics -

1. Introduction to Jetson Nano

• What is Jetson Nano?
• Features and specifications
• Use cases in real-world applications

2. Getting Started

• Hardware setup
• Installing operating system and software
• Basic configuration and tools

3. Programming for Jetson Nano

• Python for AI projects
• Using CUDA and GPU acceleration
• Libraries and frameworks (TensorFlow, PyTorch, OpenCV)

4. AI and Machine Learning Basics

• Running pre-trained models
• Training simple models
• Introduction to neural networks

5. Computer Vision on Jetson Nano

• Image and video processing
• Object detection and recognition
• Face recognition and tracking

6. Robotics and IoT with Jetson Nano

• Controlling motors and sensors
• Connecting IoT devices
• Building autonomous robotics projects

7. Optimization and Performance

• Resource management
• Improving inference speed
• Battery and power considerations

8. Best Practices

• Security considerations
• Efficient coding for embedded devices
• Project deployment strategies