Many online APIs are available and have been demonstrated in past Developer Conferences and discussed in blog posts. Machine Learning integrations are certainly not new in the FileMaker community. For instance, it is used to scan emails and determine which ones are spam or to detect objects in pictures and video. An ML model is built on a set of known training data so that it can then make predictions about what is in other similar data. Machine Learning or ML falls under the broad umbrella of Artificial Intelligence. It also serves as a key resource for becoming a FileMaker Certified Developer.MacOS, iOS, and iPadOS have built-in capabilities that can execute Machine Learning models on FileMaker Pro and Go. This series is geared for intermediate to advanced FileMaker developers, but anyone who creates custom apps using the FileMaker Platform can benefit from it. Get started building your custom FileMaker app today!Īvailable for separate purchase on the iBooks Store is FileMaker Training Series: Advanced. A set of activity files to guide you through the exercises Step-by-step instructions for building your first app A tour of the built-in tools and templates to help you get started ![]() ![]() ![]() This series shows you how to build an app from start to finish that works seamlessly across iPad, iPhone, Windows, Mac, and the web - without extensive development experience needed.įileMaker Training Series: Basics includes: Get FileMaker Training Series: Basics - a downloadable ebook. Learn how to quickly create your own custom apps for managing contacts, assets, content, invoices, and more with the FileMaker Platform.
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