Info:
- 20 hours
- 5 days from 6pm to 10pm
- 08/03/2024
- Institute of Engineering Sciences
About the course:
This course aims to teach participants the basics of Python programming to develop and improve geospatial analysis tools using ArcGIS Pro. In addition to traditional programming, the course introduces how to leverage artificial intelligence techniques to speed up the programming process and develop scripts more efficiently and accurately.
Course objectives:
- Learn the basics of programming with Python in the ArcGIS Pro environment.
- Understand how to use Python libraries to analyze geospatial data and manage maps.
- Using artificial intelligence to improve the speed and accuracy of programming.
- Develop skills in writing scripts to process and analyze geographic data.
- Build custom tools for geospatial applications using ArcPy.
Training content:
- Introduction to ArcGIS Pro: Introduction to ArcGIS Pro’s basic concepts and key features.
- Introduction to Python and ArcPy: Learn the basics of the Python language and how to use the ArcPy library to perform geographic operations.
- Geospatial Analysis Essentials: Practical Applications of Data Analysis Using Python and ArcPy.
- Artificial Intelligence in Programming: Using AI tools to generate and improve code, such as programming assistant tools.
- Build Advanced Scripts: Learn how to write scripts to process big data and apply advanced operations to geographic layers.
- Creating Custom Tools: How to design and build custom tools using Python in ArcGIS Pro.
- Practical Training and Projects: Practical application through real-world projects to analyze geospatial data and create custom tools.
Target group:
This course is intended for:
- GIS professionals who want to develop their programming skills.
- Geodata analysts who want to learn programming to simplify analysis and data management processes.
- Geospatial software engineers and developers who want to learn how to use Python to develop ArcGIS Pro tools.
- Those interested in learning how to use AI to improve programming efficiency and perform geospatial analysis.