Master Course : Edge AI and Edge Computer vision (101 level)
Edge AI and Edge Computer vision, Edge Computing, Artificial Intelligence, Tensorflow, Pytorch, Cloud Computing, ML
What you'll learn
- Understand the principles of Edge AI and its applications in real-world scenarios.
- Gain insights into Edge Computer Vision and its role in processing data at the edge.
- Identify the essential hardware components required for efficient edge computing.
- Evaluate hardware choices to optimize performance and power consumption for edge devices.
- Comprehend the fundamental concepts of Edge AI and Edge Computer Vision.
- Analyze the benefits, strategic implications, and challenges associated with implementing Edge AI solutions.
- Explore various software frameworks used for developing Edge AI applications.
- Learn how to select and leverage appropriate software tools for efficient edge computing.
- Master the deployment process of Edge AI models in real-world scenarios.
- Examine case studies to understand successful implementations and best practices in edge AI.
- Stay updated on the latest trends and innovations in the field of Edge AI.
- Anticipate future directions and potential advancements that will shape the landscape of edge computing.