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Course Outline
Introduction to Edge AI in Smart Cities
- Overview of Edge AI and its applications in smart cities
- Key benefits and challenges of Edge AI in urban environments
- Current trends and innovations in smart city technologies
- Case studies of successful Edge AI implementations in smart cities
Traffic Management with Edge AI
- Real-time traffic monitoring and analysis
- Adaptive traffic signal control and congestion management
- Integration with transportation networks and systems
- Case studies of Edge AI in traffic management
Surveillance and Public Safety
- Intelligent video surveillance systems
- Real-time incident detection and response
- Enhancing public safety with Edge AI
- Case studies of Edge AI in surveillance and public safety
Resource Optimization in Smart Cities
- Energy management and optimization
- Water and waste management using Edge AI
- Smart lighting and infrastructure management
- Case studies of resource optimization with Edge AI
Integrating Edge AI with Smart City Systems
- Architectural considerations for Edge AI integration
- Interoperability with existing smart city technologies
- Data management and analytics
- Case studies of integrated smart city solutions
Ethical and Regulatory Considerations
- Addressing privacy concerns in Edge AI applications
- Ensuring compliance with regulations and standards
- Ethical implications of Edge AI in smart cities
- Case studies of ethical Edge AI implementations
Innovative Use Cases and Applications
- Exploring cutting-edge applications of Edge AI in smart cities
- In-depth case studies and success stories
- Future trends and opportunities in smart city technologies
Hands-On Projects and Exercises
- Designing and implementing an Edge AI solution for a smart city scenario
- Collaborative group exercises and projects
- Project presentations and feedback
Summary and Next Steps
Requirements
- An understanding of AI and machine learning concepts
- Basic knowledge of urban planning and smart city technologies
- Experience with project management or engineering principles
Audience
- Urban planners
- Civil engineers
- Smart city project managers
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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