Google has launched a suite of machine learning products to help developers to build custom models, even if they have no machine learning expertise.

Through Cloud AutoML, which has been introduced in alpha, businesses will be able to build their own models by using techniques such as learning2learn and transfer learning.

“Currently, only a handful of businesses in the world have access to the talent and budgets needed to fully appreciate the advancements of ML and AI,” said Google Cloud AI chief scientist Fei-Fei Li and head of R&D Jia Li in a blog post. “There’s a very limited number of people that can create advanced machine learning models. And if you’re one of the companies that has access to ML/AI engineers, you still have to manage the time-intensive and complicated process of building your own custom ML model.

“To close this gap, and to make AI accessible to every business, we’re introducing Cloud AutoML.”

The first release from Google will be AutoML Vision, which provides a ‘faster and easier’ way to create custom machine learning models for image recognition. This service enables developers to upload images, train and manage models, and then deploy the trained models directly on Google Cloud.

Google says that AutoML will ensure that models are more accurate, even for those with at least some machine learning expertise. Furthermore, the suite will enable developers to create a model ‘in minutes’ to pilot their application, or build out a full model ‘in as little as a day’.