Artificial Intelligence (AI) in Urban Planning - Virtual Learning
This training course is designed for the people who want to implement AI in Urban Planning and use the existing and innovative tools like Chat GPT.
The training course titled "Artificial Intelligence in Urban Planning" is meticulously crafted for individuals eager to integrate AI technologies into urban design. Offered by Gulf Rowad, this training course delves into the utilization of both existing and cutting-edge tools, including ChatGPT, to revolutionize city planning. Participants will gain expertise in leveraging AI to enhance the efficiency and accuracy of urban planning processes, making cities smarter and more resilient. The training course aims to equip city planners, architects, and urban designers with the knowledge to implement AI-driven solutions to meet the dynamic needs of modern urban environments.
This comprehensive training course will focus on various AI applications in urban planning, such as drone operations, AI-driven data processing, and the use of ChatGPT. Participants will learn how to derive deeper insights into urban planning areas, predict future trends and changes in the landscape, and perform feature recognition and terrain analysis. By the end of the training course, attendees will understand the fundamental concepts of AI and its practical applications in urban planning, enabling them to transform urban planning practices with innovative AI technologies.
This Artificial Intelligence (AI) in Urban Planning training course will highlight:
AI-Driven Data Processing: Participants will explore how to process vast amounts of urban data using AI technologies to derive meaningful insights that can inform planning decisions.
Drone Applications: The training course will cover the use of drones in urban planning, enabling participants to gather aerial data efficiently for terrain analysis and feature recognition.
Predictive Analytics: Attendees will learn to use AI to predict future trends and urban changes, aiding in proactive planning and decision-making.
Innovative Tools like ChatGPT: A significant focus will be on innovative tools like ChatGPT, demonstrating how conversational AI can assist in various planning scenarios.
Real-World Applications: Practical case studies and real-world applications will be discussed, showing how AI has been successfully integrated into urban planning projects worldwide.
5 Days
1620 Sessions
Starting from USD 2,000
Available Face to Face
Course Methodology
This training course will use a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. The training course is highly interactive and is carefully designed to provide the best mix of experience, theory and practice in a professional learning environment. The emphasis is on real case studies, and practical applications through “hands-on” action learning. The delegates will also learn the elements of the hardware and software used as well as the distinctive features of the software and its add-ons.
Course Objectives
At the end of this training course, you will learn to:
- Understand the fundamental concepts of AI and its relevance to urban planning.
- Gain proficiency in AI-driven data processing to derive meaningful insights from urban data.
- Master the use of drones for efficient aerial data collection and terrain analysis.
- Develop skills in predictive analytics to foresee future urban trends and changes.
- Learn to implement innovative AI tools like ChatGPT in various urban planning scenarios.
- Apply practical knowledge through case studies of successful AI integrations in urban planning projects.
Target Audience
This Gulf Rowad Artificial Intelligence (AI) in Urban Planning training course is suitable to a wide range of professionals but will greatly benefit:
- Urban planners,
- Architects,
- Designers,
- Road and Traffic Engineers,
- GIS specialists, striving to automate data processing through innovative AI-driven solutions.
- Technology consultants, advising clients on cutting-edge AI developments in land surveying.
Target Competencies
Organisational Impact
Organizations that send their employees to this training course will benefit significantly. Participants will bring back valuable skills and knowledge, positively affecting their companies in numerous ways:
- Enhanced Decision-Making: Employees will be equipped with AI tools to make more informed and precise decisions, ultimately improving the quality of urban planning projects.
- Increased Efficiency: The integration of AI-driven data processing and predictive analytics will streamline workflows, reducing the time and effort required for complex data analysis.
- Cost Savings: By mastering the use of drones and AI tools, participants can help their organizations save on survey and data collection costs through efficient and accurate methods.
- Innovation and Competitiveness: The ability to implement cutting-edge AI solutions will position organizations as leaders in the field of urban planning, driving innovation and maintaining a competitive edge.
- Improved Project Outcomes: Case studies of successful AI integrations will provide participants with practical knowledge to enhance the outcomes of their own urban planning projects.
- Talent Development: Investing in employees' AI education will foster a culture of continuous learning and professional growth, attracting and retaining top talent in the industry.
Personal Impact
Participants will gain:
- Advanced Technical Skills: Mastery of AI tools and technologies that are essential for modern urban planning.
- Enhanced Analytical Abilities: Improved capacity to analyze complex datasets using AI-driven methods, leading to more accurate insights and decisions.
- Practical Experience: Hands-on training with real-world AI applications, ensuring practical knowledge that can be directly applied to urban planning projects.
- Professional Growth: Increased expertise in AI and its applications in urban planning, opening up new career opportunities and advancement.
- Networking Opportunities: Connections with other professionals in the field, fostering collaborative relationships and knowledge sharing.
- Increased Confidence: Greater self-assurance in using AI tools and making strategic decisions based on data-driven insights.
Course Outline
Day 1
Introduction to AI and Urban Planning
- Key concepts and terminology in AI
- Overview of urban planning principles
- Current challenges in urban planning
- Applications of AI in urban planning
- Case studies of AI implementations in urban planning
- Introduction to basic AI tools and techniques
- Practical exercises with simple AI models in ChatGPT
Day 2
AI Techniques and Tools for Urban Planning
- Machine learning algorithms and their applications
- Data analytics and visualization in urban planning
- Overview of popular AI tools and platforms
- Demonstration of AI tools for urban planning tasks
- Practical exercises using AI tools in urban planning scenarios with ChatGPT
- Group projects to apply AI techniques to real-world urban planning situations
Day 3
Future Trends and Ethical Considerations
- Emerging technologies and their potential impact
- Predictions for the future of AI in urban planning
- Discussion on the ethical implications of AI in urban planning
- Strategies for ensuring ethical AI practices
- Practical exercises on implementing ethical AI practices
- Group discussions and presentations on ethical considerations
- Review of key concepts and learnings
Day 4
Advanced AI Applications in Urban Planning
- Deep learning and neural networks in urban planning
- Predictive modeling for urban growth and development
- Optimizing traffic flow and public transport systems
- Autonomous vehicles and smart infrastructure
- Integration of AI with Internet of Things (IoT) for smart cities
- Case studies of successful smart city projects
- Building and training advanced AI models
- Application of these models to solve complex urban planning issues
Day 5
Policy, Regulation, and Communication
- Overview of policies governing AI use in urban planning
- International standards and compliance
- Effective communication strategies for stakeholders
- Visualizing AI data to inform urban planning decisions
- Encouraging community involvement in AI-driven planning
- Methods for collecting and incorporating public feedback
- Preparing project presentations
- Tips for engaging and informative delivery
- Group project presentations
- Peer feedback and course wrap-up
2026 Schedule & Fees
Course Fees Starting From
USD
2,000
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
Face to Face Courses
Face to Face
Artificial Intelligence (AI) in Urban Planning
5 Days
1566 Sessions
Artificial Intelligence Ai
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