Artificial Intelligence (AI) for City Planning Training Course
What will cities look like in the future? How can Artificial Intelligence (AI) enhance city planning? How can AI contribute to making cities more efficient, livable, safer, and environmentally sustainable?
This instructor-led, live training (onsite or remote) explores the various technologies that comprise AI, as well as the skill sets and mental frameworks required to effectively integrate them into city planning. We also discuss tools and approaches for collecting and organizing relevant data for use in AI, including data mining.
Audience
- City planners
- Architects
- Developers
- Transportation officials
Format of the Course
- Part lecture, part discussion, and a series of interactive exercises.
Note
- To request a customized training for government or other organizations, please contact us to arrange.
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Course Outline
Introduction
- Artificial Intelligence (AI) for City Planning
Uses and Opportunities for City Service Providers
- Architecture, transportation, public safety, land use, environmental management, etc.
Applications of AI
- Computer Vision, Natural Language Processing (NLP), Voice Recognition, etc.
The Data Enabling AI
- Data as the Foundation of AI for government
- Securing Access to Relevant Data
The Computation Supporting AI
- Probability and Statistics at the Core
- Algorithms Enabling Intelligent Systems for government
The Logic Driving AI
- Programming Languages Used in AI
- Required Skillsets for Government Professionals
Teaching Machines How to Learn
- Understanding Machine Learning for government
- Applying Machine Learning Libraries to Develop Intelligent Systems for government
Advanced Approaches in Machine Learning
- Deep Learning Techniques
Case Study
- Predicting Traffic Bottlenecks Using Machine Learning for government
The Tools Supporting AI
- Databases Tailored to Various Purposes
- Data Processing Engines for Government Use
- Building Infrastructure On-Premise or in the Cloud for government
Analyzing the Data
- Managing Large Volumes of Data for government
- Aggregating Data Across Agencies for government
- Data Preparation, Staging, Analysis, and Reporting for government
- Data Mining Approaches for government
Case Study
- Collecting, Filtering, and Analyzing Demographic Data by Neighborhood for government
The Interplay of AI and the Internet of Things (IoT)
- Cameras, Sensors, Actuators, etc.
- Evaluating the City's Network Infrastructure for government
Autonomous Decision Making and Execution
- Utilizing Rules Engines and Expert Systems to Make Decisions for government
- Programming Machines to Act Independently for government
Case Study
- Responding to Emergencies Based on Real-Time Data for government
Automating Human Processes
- The Interaction Between Humans and Machines in Government Operations
- Optimizing Processes in Municipal Departments for government
Bringing it All Together
- Identifying Low-Hanging Fruit for City Planners for government
- Constructing a City-Wide Digital Platform for government
Planning and Communicating an AI Strategy
- Conducting Needs Assessments and Evaluating Return on Investment for government
- Engaging City Leaders, Agencies, Businesses, and Universities in AI Initiatives for government
Summary and Conclusion
Requirements
- An understanding of city planning for government operations and development.
- A foundational knowledge of programming concepts to support technological advancements in public sector workflows.
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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