Deep Learning in ArcGIS

Want to automate geospatial data using Deep Learning in ArcGIS? In this one-on-one course, you’ll learn how to use AI models for object detection, image recognition, and pattern recognition. Train neural networks and analyze geodata more effectively. With personalized guidance and hands-on assignments, you’ll apply Deep Learning directly in ArcGIS.

Deep Learning in ArcGIS

Deep Learning is transforming how we analyze geospatial data. Thanks to AI, GIS professionals can identify patterns in large datasets more quickly, enabling automated analysis. Examples include detecting objects in aerial photos, analyzing land use, and generating maps.

ArcGIS integrates Deep Learning to solve complex GIS challenges. From classifying landscapes and buildings to detecting roads on satellite imagery—neural networks accelerate analyses, reduce errors, and increase accuracy.

By using Deep Learning in ArcGIS, you automate processes, save time, and get more value out of your geodata. But how do you apply this technology in your GIS projects? In this course, you’ll learn step by step how to combine Deep Learning with ArcGIS to perform advanced analyses and optimize workflows.

What will you learn in this Blended Learning course?

Deep Learning makes it possible to analyze geospatial data more intelligently and efficiently. In this course, you’ll discover how to use AI to recognize patterns, detect objects, and automatically process geodata.

You’ll start with the fundamentals of Deep Learning and neural networks. You’ll learn how these models work and why they’re so effective for geospatial analysis. Next, you’ll delve into the application of AI within ArcGIS and discover how artificial intelligence improves the accuracy and efficiency of GIS analysis.

After that, you’ll get hands-on. You’ll learn to collect, prepare, and optimize training data for AI models in ArcGIS. Using tools such as ArcGIS Pro and ArcGIS Image Analyst, you’ll build and refine AI models for spatial challenges.

Finally, you’ll explore concrete applications. You’ll perform object detection on aerial photos and satellite imagery, create automatic classifications of landscapes and infrastructure, and analyze land-use changes. By mastering these techniques, you’ll be able to perform advanced analyses and solve complex GIS problems using AI.

Why choose this Deep Learning in ArcGIS course?

Blended learning combines self-paced online learning with hands-on, interactive sessions, so you gain both theoretical knowledge and practical experience with Deep Learning in ArcGIS. The online modules give you the flexibility to study at your own pace, while the interactive online classes teach you how to process geospatial data, train AI models, and perform advanced analyses. Thanks to direct access to the course materials, you can review and practice the material at any time.

During the online hands-on assignments, you’ll apply your knowledge immediately. You’ll work with real datasets and receive live guidance from experts on object detection, training neural networks, and implementing AI algorithms in ArcGIS. This allows you to put theory into practice right away and further develop your skills.

The combination of flexible online learning and hands-on experience ensures that you not only understand the fundamentals of Deep Learning but also learn how to apply them in real ArcGIS projects. Upon completion of the course, you will be able to effectively train AI models, detect objects in aerial imagery, and analyze geospatial data more intelligently and efficiently.

Enroll

€395,- (VAT included)
  • Start: 2-hour online session
  • Self-study: Review course materials
  • End: 1-hour online session
Register for this course

You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

Leerdoelen

After completing this course, you will be able to:

  • Apply deep learning in ArcGIS to analyze geospatial data and automate processes.
  • Prepare and optimize training data for AI models within GIS applications.
  • Use neural networks for object detection, image recognition, and pattern recognition in geospatial data.
  • Perform automatic classifications and land-use analyses on aerial photos and satellite imagery using Deep Learning in ArcGIS Pro and ArcGIS Image Analyst.

Want to know more?

Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.

Frequently Asked Questions About Courses

After the course, you’ll have another two weeks to ask the instructor questions. Since the instructor is already teaching other courses, it’s best to email your questions to info@geo-ict.nl. Your question will be forwarded to the instructor, and you’ll receive a response within 24 hours.

If you’re a bit further along and encounter practical problems you can’t solve on your own, it’s best to use Online Support. You’ll spend one day online with the instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.

  • Blended learning, also known as hybrid learning, is an educational method that combines traditional face-to-face classes with online learning materials and interactive sessions. This approach offers students flexibility and control over aspects such as the time, place, and pace of learning, while allowing them to benefit from direct interaction with instructors and fellow students. ​
  • At the Geo-ICT Training Center in the Netherlands, blended learning is implemented by having students study largely independently, supplemented by scheduled interactive sessions with an instructor. During these sessions, students can ask questions and discuss complex topics, which fosters a deeper understanding of the course material. All Blended Learning courses begin with a 2-hour online session. The instructor delivers presentations and assigns various exercises and assignments to the student. The student can then work on these independently. After a few weeks, another one-hour online session follows.

If you run into problems in practice that you can’t solve on your own, you have two options: you can sign up for a beginner or advanced course, or you can sign up for Online Support.

You’ll spend a day online with an instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.

 

All courses are taught in person. Course hours are from 9:00 AM to 4:00 PM. Coffee, tea, lunch, and a laptop are provided.

Taking a course online is also possible, but we only offer hybrid courses in exceptional cases. If you wish to participate in a course online, please indicate this during registration—select “Online” as the location. If that is not possible, this course will only be offered on-site in Apeldoorn.

Yes, we do this regularly. Our instructor will come to your location and bring laptops for the participants. All you need to do is arrange a classroom at your location.

Please email your requirements to info@geo-ict.nl, and we will send you a quote. Once you’ve confirmed the order, our course coordinator will contact you to schedule the training days.

After each course, participants receive a link to our evaluation portal. There, you can share your feedback on what you liked and didn’t like about the course. We always do our very best, but of course, there may be times when you have a complaint. Click on “Complaints Procedure.” It explains what steps you can take. Geo-ICT Training Center, Netherlands is a member of the Dutch Council for Training and Education (NRTO).

After the course, we will email you a link to our evaluation portal. There, you can log in and fill out an evaluation form, and you can also download your certificate of participation.

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