FME + Any AI
Transform Chaos into Clarity: Use FME and AI to Extract, Convert, and Classify Unstructured Data
Structured data extraction is a key capability of Large Language Models (LLMs). Providers like OpenAI, Anthropic and Gemini offer APIs that transform unstructured content into clean JSON outputs. But LLMs alone aren’t enough. Without robust tools to automate, validate, and scale the process, you’re left with fragile scripts and manual clean-up. That’s where FME comes in -seamlessly integrating generative AI into real-world data workflows.
Sign up for our FME Form (previously FME Desktop) focused AI training course and take your investment in FME into the exciting topic of orchestrating artificial intelligence! On our FME + Any AI course we help you navigate FME's ability to connect you to the AI service you need, sometimes utilising more than one service to get the job done.
- Accelerate your FME and AI skills to an advanced level
- Master FME, AI, and ML tools - without writing a single line of code
- Apply techniques to any LLM, from today's OpenAI to tomorrow's next breakthrough
- Up-to-date expertise from our team of FME Certified Trainers with real-world project experience
- Training with the latest version of the FME Platform for up-to-date skills in this fast paced topic
- Exercises and examples based on UK, European and global datasets for local and international context
- Get best practices, tips, and tricks to be effective quickly
Goals
- Write effective prompts and manage dynamic JSON outputs.
- Compare AI models from OpenAI, Gemini, Anthropic, and Mistral to understand their uses.
- Create AI workflows in FME Form and run open-source models locally with Ollama to solve security concerns.
- Train and deploy a raster image recognition model as part of a data workflow.
- Develop an FME Workspace that extracts tables from PDFs and converts them to Excel.
- Perform sentiment analysis and classify the content of unstructured text.
Building on our FME Form Introductory Training, this course elevates your data integration capabilities by demonstrating the practical application of Artificial Intelligence within FME workspaces. It serves as an essential introduction to incorporating AI components into Extract, Transform, and Load (ETL) or data integration projects, aiming to inspire you to transform chaotic unstructured data into clarity. You'll discover how FME seamlessly integrates generative AI, particularly Large Language Models (LLMs) from providers like OpenAI, Anthropic, and Gemini, to extract and classify unstructured content into clean, structured data, moving beyond fragile scripts and manual clean-up to create robust, automated workflows.
With so much data out there for you to process, we’ve built our content around custom UK, European and global based examples, that we use to give you both a local and a broad context to the course. We use this data so you can see how to read and write data effectively and make new integrations, whilst adhering to best practice techniques and offering tips and tricks to help you be effective quickly.
Who?
This course is intended for an existing user of FME Form, but don't worry, you only need to have scratched the surface since this course is a deep dive into AI as much as it is FME. If you're keen to understand how AI and ML can help you move faster and add-value to data workflows, it's for you. Typical candidates are:
- FME users eager to supercharge their automations with AI.
- Data management professionals wanting to tame their unstructured data and extract value from it.
- Those seeking scalable, cost-effective solutions to classify, extract and validate datasets using AI and Machine Learning (ML).
- Anyone wanting to keep up with this fast-paced topic and spend some time and immersion in AI automations!
TESTIMONIAL: "Learning new and valuable skills that I have been able to apply and benefit from immediately. Great course, thank you!" Mark Lloyd, Managing Director, Pear Technology Services Ltd
TESTIMONIAL: "The course was well organized and ran smoothly without any technical issues." Konrad Poplawski, Senior GIS Specialist, Rosen
Our approach
To ensure a flexible training experience, we deliver this course in the following formats:
- Run over two days, in two 4-hour sessions (12:30–17:00 UK time).
- Run over two days, in two 4-hour sessions (09:30–14:00 UK time).
- Bundled with content from other courses as part of a bespoke offering just for your organisation.
If you'd like something bespoke or would like to chat about the details, just get in touch by completing the form below and adding some extra detail to the 'please tell us more' text box.
Register now for an FME Training course
Training events:
- 4th & 5th February 2026 (09:30 to 14:00 GMT on both days)
- 6th & 7th May 2026 (12:30 to 17:00 GMT on both days)
- 29th & 30th September 2026 (12:30 to 17:00 GMT on both days)
- Bespoke or Private? Just ask!