Blueprint for impact
Get a look at the pillars shaping this course.
While development is still underway, these highlights offer an early look at the skills and outcomes you’ll be working toward:
Master prompt engineering skills
Develop precise prompts to guide AI in generating Python and other code formats for solving spatial data science tasks including analysis and visualization.
Analyze and debug Python code
Learn how to critically evaluate AI-generated code, identify errors, and refine outputs to meet spatial data science needs using your existing programming knowledge.
Accelerate spatial workflows
Use AI to streamline code writing for tasks like geospatial analysis, mapping, and data visualization so you can boost productivity and focus on insights.
Build responsible AI practices
Understand the limitations, risks, and ethical considerations of using generative AI in spatial contexts and develop best practices for responsible implementation.
"Generative AI is transforming the world—particularly how we write, debug, and apply code in spatial data science. This course is being developed to help learners build the prompt engineering and critical thinking skills they need to work alongside AI as effective collaborators. With growing demand for faster and more scalable workflows, I see this course as a timely opportunity to teach not just how to use AI tools, but how to use them wisely. I'm excited to help professionals unlock the potential of AI while still maintaining quality, clarity, and control over their code."

Flexible. Applied. Built for business.
Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.
Geospatial Generative AI
Learn how to use generative AI to create, debug, and refine spatial data science code. Build prompt engineering skills that accelerate your ability to analyze geospatial data and produce powerful visualizations using AI-enhanced workflows.
Course description
Course outcomes
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If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.
Hear from the experts
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Insight
"Generative AI is transforming the world—particularly how we write, debug, and apply code in spatial data science. This course is being developed to help learners build the prompt engineering and critical thinking skills they need to work alongside AI as effective collaborators. With growing demand for faster and more scalable workflows, I see this course as a timely opportunity to teach not just how to use AI tools, but how to use them wisely. I'm excited to help professionals unlock the potential of AI while still maintaining quality, clarity, and control over their code."

Value
Flexible. Applied. Built for business.
Exploring this for your team, not just yourself? You're in the right place. RIT Certified courses and certificates deliver high-impact ROI whether used off the shelf or tailored with our team to align with your workforce strategy. Each offering builds in-demand skills that help teams grow, retain talent, and stay ahead in a world of constant change. We don’t just deliver training. We help you plan for what’s next.