- Suitable for Form 3 to Form 5
Course topics include:
- Mastering the fundamentals of Artificial Intelligence and Deep Learning
- Practical application of Python programming language
- Proficiency in operating the NVIDIA Jetson platform
- Application of deep learning tools and frameworks
- Ability to develop real-world AI projects
- Utilizing Google Cloud Platform APIs
- Preparing for the Jetson AI Specialist certification
Introduction to Python and Deep Learning
Unit 1: Fundamentals of AI and Deep Learning
- Basic concepts and history of AI
- Principles and applications of deep learning
- Fundamentals of deep learning using Python
Unit 2: Introduction to the NVIDIA Jetson Platform
- Architecture and features of the Jetson platform
- Deploying and running AI models on Jetson
- Project development using Jetson development tools
Unit 3: Introduction to NVIDIA Deep Learning Tools and Frameworks
- Basics of CUDA and TensorRT
- Training and optimization of models using NVIDIA's deep learning tools
- Running deep learning models on the Jetson platform
Unit 4: Practical Project Development
- Choosing an AI or deep learning project
- Project development using the Jetson platform and NVIDIA tools
- Testing and optimization of the project
- Deployment and showcasing of the project
Practical Project 1: Blind Reading Assistant
This practical project aims to teach students how to develop a blind reading assistant using the NVIDIA Jetson Nano development board and Optical Character Recognition (OCR) technology. Students will learn the basics of the Python programming language and understand the working principles and applications of OCR. The course will cover topics such as performing OCR processing using Python and setting up and configuring the Jetson Nano development board. Finally, students will learn how to utilize Google Cloud's text-to-speech service to convert the recognized text content into speech output. This course combines theory and practice, enabling students to create their own visual assistant upon completion.
Practical Project 2: Blind Obstacle Warning System
The "Jetson AI Specialist Certification Course Series: Blind Obstacle Warning System" is a hands-on course. This course focuses on using Jetson Nano hardware and Google Cloud Platform (GCP) APIs, along with Python programming, to develop a warning system that helps blind individuals navigate around obstacles. Students will acquire core skills in object recognition and speech output design, and learn how to integrate these elements into a complete system. By the end of the course, students will complete a final project, which involves implementing a blind obstacle warning system, testing and debugging it, and ultimately presenting and evaluating the project.
Preparing for the Jetson AI Specialist certification
- Jetson AI Specialist Certification Requirements and Process
- Analysis and Preparation of Artificial Intelligence Projects
Completion and Obtaining the Jetson AI Specialist Certificate
By completing this course, students will gain the necessary knowledge and skills to obtain the Jetson AI Specialist certification. Additionally, they will have the opportunity to develop and deploy an AI or deep learning project, which will be beneficial for their future learning and career.
Python Basics Course
If you don’t have Python knowledge, it may be difficult to study the Jetson AI Specialist certificate course series directly. This course series requires a certain basic knowledge of Python programming.
If students are interested in the Jetson AI course but do not have a Python foundation, it is recommended that they take the ICT Python course first to lay a solid foundation in programming. ICT Python courses can help students systematically learn Python syntax and programming ideas.
After you have a basic knowledge of Python, you will have better learning results if you enter the Jetson AI Specialist certificate course series. In the course, students will learn how to use Python for deep learning programming and apply it to specific AI projects, such as reading aids for the blind and obstacle warning systems for the blind.
Fun AI fact
What is NVIDIA?
NVIDIA is a global leader in artificial intelligence technology and has consistently been at the forefront of advancing graphics processing unit (GPU) technology. Since 1999, the company has been continuously innovating in graphics technology, enabling its widespread applications in fields such as scientific computing and big data analytics.
In the field of artificial intelligence (AI), NVIDIA holds a dominant position with its products and technologies. Its high-performance GPUs have become the preferred hardware platform for many AI and deep learning applications. NVIDIA has also developed a range of software tools such as CUDA and TensorRT, which enable developers to more conveniently develop and deploy AI applications on NVIDIA hardware.
NVIDIA's market influence is not only reflected in its robust product lineup and wide range of application areas but also in its contributions to industry standards and open-source ecosystems. For instance, NVIDIA has played a crucial role in driving the development of open-source tools and frameworks in the AI and deep learning fields. Additionally, NVIDIA's Deep Learning Institute offers a series of educational and training courses aimed at enhancing global technical talent's skills and capabilities in AI and deep learning.
NVIDIA holds significant influence and a leadership position in the global fields of visual computing, AI, and deep learning.
Our strength lies in our course team, which consists of university lecturers and AI experts with doctoral degrees, and each instructor holds the Jetson AI Ambassador certification issued by NVIDIA. NVIDIA is a global leader in visual computing technology, focusing on artificial intelligence and edge computing. Its Jetson platform has become an essential tool for AI research and development worldwide. The Jetson AI Ambassador certification is specifically designed for educators, which means our instructors not only possess profound AI and Jetson knowledge but have also undergone rigorous evaluation by NVIDIA to demonstrate their ability to teach AI and Jetson effectively.
