Artificial Intelligence (AI) for City Planning Training Course
What will cities look like in the future? How can Artificial Intelligence (AI) be used to improve city planning? How can AI be used to make cities more efficient, livable, safer and environmentally friendly?
In this instructor-led, live training (onsite or remote), we examine the various technologies that make up AI, as well as the skill sets and mental framework required to put them to use for city planning. We also cover tools and approaches for gathering 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 this course, please contact us to arrange.
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
- AI for city planning
Uses and Opportunities for City Service Providers
- Architecture, transportation, public safety, land use, environment, etc.
Applications for AI
- Computer Vision, Natural Language Procession (NLP), Voice Recognition, etc.
The Data Behind AI
- Data as the enabler of AI
- Gaining access to the data
The Computation behind AI
- Probability and Statistics as the Core
- How Algorithms Enable Intelligence
The Logic Behind AI
- Programming Language used in AI
- Needed skillsets
Teaching Machines How to Learn
- Understanding machine learning
- Applying machine learning libraries to develop intelligent systems
Advanced Approaches to Machine Learning
- Deep Learning
Case Study
- Predicting traffic bottlenecks with machine learning
The Tooling behind AI
- Different databases for different purposes
- Data processing engines
- Building the infrastructure on premise or in the cloud
Analyzing the Data
- 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 neighborhood
The Interplay of AI and IoT
- Cameras, sensors, actuators, etc.
- Assessing the city's network infrastructure
Autonomous Decision Making and Execution
- Using rules engines and expert systems to make decisions
- Programming machines to take actions on their own
Case Study
- Responding to emergencies based on real-time data
Automating Human Processes
- The interplay of humans and machine
- 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
- An understanding of city planning
- A basic understanding of programming concepts
14 Hours
Need help picking the right course?
Artificial Intelligence (AI) for City Planning Training Course - Enquiry
Artificial Intelligence (AI) for City Planning - Consultancy Enquiry
Consultancy Enquiry
Related Courses
AI Automation with n8n and LangChain
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
- Design and implement complex workflows using n8n's visual programming interface.
- Integrate AI capabilities into workflows using LangChain.
- Build custom chatbots and virtual assistants for various use cases.
- Perform advanced data analysis and processing with AI agents.
Read more...
Automating Workflows with LangChain and APIs
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
- Understand the basics of API integration with LangChain.
- Automate repetitive workflows using LangChain and Python.
- Utilize LangChain to connect various APIs for efficient business processes.
- Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Read more...
Building Conversational Agents with LangChain
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its application in building conversational agents.
- Develop and deploy conversational agents using LangChain.
- Integrate conversational agents with APIs and external services.
- Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
Read more...
Building Intelligent Agents with Quark
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level AI engineers and software developers who wish to build intelligent agents using Quark for tasks such as process automation, dynamic decision-making, and workflow optimization.
By the end of this training, participants will be able to:
- Understand the architecture and capabilities of Quark.
- Design and implement intelligent agents using Quark for automation tasks.
- Integrate Quark with existing systems for data processing and decision-making.
- Develop real-time decision-making workflows using Quark.
Read more...
Building Private AI Workflows with Ollama
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
- Deploy and configure Ollama for private AI processing.
- Integrate AI models into secure enterprise workflows.
- Optimize AI performance while maintaining data privacy.
- Automate business processes with on-premise AI capabilities.
- Ensure compliance with enterprise security and governance policies.
Read more...
Deploying and Optimizing LLMs with Ollama
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.
By the end of this training, participants will be able to:
- Set up and deploy LLMs using Ollama.
- Optimize AI models for performance and efficiency.
- Leverage GPU acceleration for improved inference speeds.
- Integrate Ollama into workflows and applications.
- Monitor and maintain AI model performance over time.
Read more...
Ethical Considerations in AI Development with LangChain
21 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
By the end of this training, participants will be able to:
- Identify key ethical issues in AI development with LangChain.
- Understand the impact of AI on society and decision-making processes.
- Develop strategies for building fair and transparent AI systems.
- Implement ethical AI guidelines into LangChain-based projects.
Read more...
Enhancing User Experience with LangChain in Web Apps
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
- Implement LangChain in web apps to create dynamic and responsive interfaces.
- Integrate APIs into web apps to improve interactivity and user engagement.
- Optimize user experience using LangChain’s advanced customization features.
- Analyze user behavior data to fine-tune web app performance and experience.
Read more...
Fiji: Image Processing for Biotechnology and Toxicology
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.
By the end of this training, participants will be able to:
- Navigate the Fiji interface and utilize ImageJ’s core functions.
- Preprocess and enhance scientific images for better analysis.
- Analyze images quantitatively, including cell counting and area measurement.
- Automate repetitive tasks using macros and plugins.
- Customize workflows for specific image analysis needs in biological research.
Read more...
Fine-Tuning and Customizing AI Models on Ollama
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.
By the end of this training, participants will be able to:
- Set up an efficient environment for fine-tuning AI models on Ollama.
- Prepare datasets for supervised fine-tuning and reinforcement learning.
- Optimize AI models for performance, accuracy, and efficiency.
- Deploy customized models in production environments.
- Evaluate model improvements and ensure robustness.
Read more...
LangChain: Building AI-Powered Applications
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its components.
- Integrate LangChain with large language models (LLMs) like GPT-4.
- Build modular AI applications using LangChain.
- Troubleshoot common issues in LangChain applications.
Read more...
Integrating LangChain with Cloud Services
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at advanced-level data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
By the end of this training, participants will be able to:
- Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud.
- Utilize cloud-based APIs and services to enhance LangChain-powered applications.
- Scale and deploy conversational agents to the cloud for real-time interaction.
- Implement monitoring and security best practices in cloud environments.
Read more...
LangChain for Data Analysis and Visualization
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at intermediate-level data professionals who wish to use LangChain to enhance their data analysis and visualization capabilities.
By the end of this training, participants will be able to:
- Automate data retrieval and cleaning using LangChain.
- Conduct advanced data analysis using Python and LangChain.
- Create visualizations with Matplotlib and other Python libraries integrated with LangChain.
- Leverage LangChain for generating natural language insights from data analysis.
Read more...
LangChain Fundamentals
14 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
- Grasp the fundamental principles of LangChain.
- Set up and configure the LangChain environment.
- Understand the architecture and how LangChain interacts with large language models (LLMs).
- Develop simple applications using LangChain.
Read more...
Getting Started with Ollama: Running Local AI Models
7 HoursThis instructor-led, live training in Macao (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.
By the end of this training, participants will be able to:
- Understand the fundamentals of Ollama and its capabilities.
- Set up Ollama for running local AI models.
- Deploy and interact with LLMs using Ollama.
- Optimize performance and resource usage for AI workloads.
- Explore use cases for local AI deployment in various industries.
Read more...
