May 2024
Advanced
8h 18m
English
Closed Captioning available in English
Overview
In this 8 hr course, you will learn to master the advanced capabilities of YOLO-NAS v8 for real-world AI applications. From training custom object detection models to deploying them on edge devices like NVIDIA Jetson, this course provides practical and actionable knowledge.
What I will be able to do after this course
- Efficiently train and deploy YOLO-NAS v8 models on various platforms, including PCs and edge devices.
- Integrate object detection and tracking applications, such as DeepSORT, into AI workflows.
- Develop user-friendly applications using YOLO-NAS v8, including web apps with Flask and mobile apps with Kivy.
- Understand how to prepare data and train customized AI models for specialized use-cases.
- Learn to deploy YOLO-NAS v8 with Docker and hardware like Jetson Nano for real-time use.
Course Instructor(s)
Ritesh Kanjee, an experienced AI practitioner and educator, brings his expertise in computer vision and software development to this course. With a background in machine learning, he simplifies complex concepts and guides learners through practical implementations, ensuring skill acquisition is both accessible and effective.
Who is it for?
This course is designed for software developers, AI enthusiasts, and data scientists who have a basic understanding of Python and familiarity with machine learning concepts. It's perfect for individuals aiming to upskill in computer vision and deploy AI models effectively in real-world applications.
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