Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
コース概要
Introduction to Edge AI
- Definition and key concepts
- Differences between Edge AI and Cloud AI
- Benefits and challenges of Edge AI
- Overview of Edge AI applications
Edge AI Architecture
- Components of Edge AI systems
- Hardware and software requirements
- Data flow in Edge AI applications
- Integration with existing systems
Setting Up the Edge AI Environment
- Introduction to Edge AI platforms (Raspberry Pi, NVIDIA Jetson, etc.)
- Installing necessary software and libraries
- Configuring the development environment
- Initializing the Edge AI setup
Developing Edge AI Models
- Overview of machine learning and deep learning models
- Training models for edge deployment
- Model optimization techniques
- Tools and frameworks for Edge AI development
Deploying Edge AI Applications
- Steps for deploying models on edge devices
- Monitoring and managing deployed models
- Real-time data processing and inference
- Case studies and examples
Use Cases and Applications
- Industry-specific applications of Edge AI
- Case studies in healthcare, automotive, and smart homes
- Success stories and lessons learned
- Future trends and opportunities in Edge AI
Ethical Considerations and Best Practices
- Ensuring privacy and security in Edge AI
- Addressing bias and fairness
- Compliance with regulations and standards
- Best practices for responsible AI deployment
Hands-On Projects and Exercises
- Developing a simple Edge AI application
- Real-world projects and scenarios
- Collaborative group exercises
- Project presentations and feedback
Summary and Next Steps
要求
- An understanding of basic AI and machine learning concepts
- Experience with programming languages (Python recommended)
- Familiarity with general computing concepts
Audience
- Developers
- IT professionals
14 時間
