Blog: Learn Machine Learning from a Google AI Engineer
Actions on Google With Google Cloud Functions
When building Google Assistant apps (actions) with Dialogflow, you likely will have to write some logics. The most common way in developing this logics layer is by using a webhook and a Cloud Function. The webhook requires a URL. So technically you can use any web server and program language you like, Cloud Functions are just easy.
When building Google Assistant apps (actions) with Dialogflow, you likely will have to write some logics. The most common way in developing this logics layer is by using a webhook and a Cloud Function. The webhook requires a URL. So technically you can use any web server and program language you like, Cloud Functions are just easy.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
