Artificial Intelligence (AI) for City Planning Training Course
What will the urban landscapes of tomorrow resemble? How can Artificial Intelligence (AI) enhance city planning? How can AI be utilized to create cities that are more efficient, habitable, secure, and eco-friendly?
Through this instructor-led live training (available onsite or remotely), we explore the diverse technologies constituting AI, along with the necessary skills and mental frameworks to apply them in urban planning. We also discuss tools and methods for collecting and organizing relevant data for AI purposes, including data mining.
Target Audience
- City planners
- Architects
- Developers
- Transportation officials
Course Format
- A blend of lectures, discussions, and a series of interactive exercises.
Note
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
- AI for city planning
Applications and Opportunities for City Service Providers
- Architecture, transportation, public safety, land use, environment, etc.
AI Applications
- Computer Vision, Natural Language Processing (NLP), Voice Recognition, etc.
The Data Underpinning AI
- Data as the catalyst for AI
- Gaining access to data
The Computational Foundation of AI
- Probability and Statistics as the Core
- How Algorithms Enable Intelligence
The Logic Behind AI
- Programming Languages Used in AI
- Required Skill Sets
Teaching Machines to Learn
- Understanding machine learning
- Applying machine learning libraries to develop intelligent systems
Advanced Machine Learning Approaches
- Deep Learning
Case Study
- Predicting traffic bottlenecks using machine learning
The Tooling Behind AI
- Different databases for various purposes
- Data processing engines
- Building infrastructure on-premise or in the cloud
Data Analysis
- Handling large volumes of data
- Aggregating data across agencies
- Data preparation, staging, analysis, and reporting
- Data mining approaches
Case Study
- Collecting, filtering, and analyzing demographic data by neighbourhood
The Interplay of AI and IoT
- Cameras, sensors, actuators, etc.
- Assessing the city's network infrastructure
Autonomous Decision Making and Execution
- Using rule engines and expert systems to make decisions
- Programming machines to act independently
Case Study
- Responding to emergencies based on real-time data
Automating Human Processes
- The interplay between humans and machines
- Optimizing processes in municipal departments
Bringing It All Together
- The low-hanging fruit for city planners
- Constructing a city-wide digital platform
Planning and Communicating an AI Strategy
- Needs assessment and return on investment
- Bringing together city leaders, agencies, businesses, and universities
Summary and Conclusion
Requirements
- A grasp of city planning principles
- A foundational understanding of programming concepts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Artificial Intelligence (AI) for City Planning Training Course - Enquiry
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