AI Workflows in FME 

Put AI to work in your data pipelines

Enquire Now Contact Locus

Format

  • Live, Online Training (Virtual Classroom)
  • Duration: 4 Hours
  • Next Dates:
    2 December 2026, 9am – 1pm NZT
  • Download Course Overview (PDF)

In this 4-hour live virtual training course, learn how to apply AI directly inside FME Form connecting to Vision AI services, structuring outputs as clean JSON, and building the kind of agentic, self-checking workflows that are changing how spatial data gets processed. Guided by Locus experts and FME Certified Trainers, you’ll work through four hands-on exercises that build on each other from your first Vision AI call right through to spatial partitioning techniques that reduce API costs and improve performance at scale.

This course is suitable for all FME experience levels. Whether you’re new to AI or have already experimented with it, you’ll leave with working techniques you can apply to your own data pipelines immediately.

Course Outcomes

By the end of this training, you’ll be able to:

  • Call Vision AI services from FME Form and interpret the responses
  • Structure AI outputs as clean, usable JSON for downstream processing
  • Apply agentic AI patterns including reflective AI to build self-correcting workflows
  • Use spatial partitioning to target AI analysis at the areas that matter, reducing cost and improving speed
  • Combine multiple AI providers within a single FME workspace

Skills You Will Gain

  • Connect FME Form to AI services including OpenAI and Gemini with techniques that can be used using Any AI
  • Build workspaces that handle structured AI outputs in JSON format
  • Apply agentic AI design patterns, including Reflective AI for automated quality assurance
  • Use spatial partitioning methods including grids, tiles, and polygons to control where and how AI is applied
  • Manage API costs and rate limits through intelligent batching and filtering
  • Build workflows that are modular, repeatable, and production-ready

What You Will Learn

AI in the FME Platform
An introduction to how FME connects with AI services such as OpenAI and Google Gemini, which extends across Anthropic, Amazon Bedrock, Azure, and Vertex AI.

Structured Response Outputs
Move beyond free-text AI responses. Learn how to prompt for structured JSON outputs and map them cleanly into FME attributes.

Agentic AI
Understand the principles behind agentic AI, autonomous task execution, dynamic decision-making, and multi-step adaptive processes and how FME simplifies the build.

Spatial Partitioning
Learn why processing large spatial datasets with Vision AI is expensive and slow and how spatial partitioning solves it by targeting AI analysis only where it’s needed.

Who’s This For

This training is ideal for:

  • FME users who want to put AI to practical use in their workspaces and automated workflows
  • Spatial and non-spatial data professionals working with imagery, land use, or asset data
  • Developers, analysts and managers looking to automate quality assurance using AI
  • Anyone curious about agentic AI but wanting hands-on FME-specific guidance

Course Extras

  • Certificate of Completion
    Showcase your achievement with your network
     
  • Hands-on instructor-led exercises with sample data
    Practice the skills learned 
Enquire Now View Course Details

FME Training Enquiry Form


Course FAQ

No. However a familiarity with FME Form is required, which includes the knowledge of Readers, Writers and Transformers and the ability to create a workspace.

No. However you will receive a post-course reference guide summarizing the key concepts and material, along with a certificate of completion.

Yes – we offer group bookings and private sessions. Contact us for details at [email protected]

We understand that things come up. If you are unable to attend a session, please notify us at least 48 hours in advance to transfer your registration to the next scheduled course. Attendance at a live session is required to receive your certificate of completion.

Consider our APIs & JSON course either before or after this course to extend your skills in connecting and integrating with Any AI interface.

Enquire Now


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WHO WE TRAIN AND OUR TRAINING STYLE

Live. Practical.
Interactive.

We are committed to delivering high-quality, impactful training that prepares you for real-world FME challenges. Our training is designed for Data-Driven Professionals.

GIS/Data Analysts

Locus’ training equips data-driven professionals with practical skills to boost analysis, streamline workflows, and automate routine tasks. Ideal for GIS and data analysts looking to stay ahead in a fast-paced, tech-driven world.

IT/DataOps Teams

Build scalable data solutions, boost pipeline efficiency, and streamline workflows. Locus' training helps professionals enhance systems, collaboration, and data outcomes.

System Integrators or
Automation Champions

Locus' training helps data professionals build end-to-end pipelines, connect systems, and reduce manual work. Ideal for system integrators aiming to boost reliability and deploy scalable, automated solutions.

Instructor-led Virtual Delivery

Join live, interactive sessions with certified FME trainers for expert guidance tailored to your team’s needs. Gain practical skills and confidence to tackle real-world FME scenarios across diverse use cases.

Learning Your Way

We support individual learning within a team setting, helping everyone gain the skills and confidence to use FME effectively. Locus delivers practical training to tackle real-world FME challenges with confidence.

Real-world, Industry Relevant Examples

Our real-world exercises give your team hands-on experience with job-relevant scenarios, ensuring they can apply what they learn immediately and solve problems more effectively.