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.
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.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses