AI Crash Course – Adding ML to Your Projects in an Hour
AI Crash Course – Adding ML to Your Projects in an Hour


In this introductory session, we will be covering the basics of making AI-powered applications, from designing a dataset to making predictions in-app. This session will be primarily focused on using REST APIs to build, deploy, and consume AI output. All samples and source code will be available on GitHub so you can follow along or experiment afterward. You will be encouraged to ask questions during and before the event!

These sessions help attendees learn the fundamentals of AI/ML in the
context of software development
Background knowledge needed: Some software development experience recommended

● Postman or knowledge of `curl`
● Code examples will include JavaScript & Python; basic understanding recommended
● Basic understanding of `git` and github


Zan does Developer Relations at DataRobot in London. His passions are educating and enabling developers. He's currently nerding out about machine learning 🤖, serverless ⚡ , and the new age of APIs 🌅. If allowed to speak unchecked, he may start dispersing trivia on ✈ and 🍺. If allowed into your docs, he might add excessive amounts of emoji and just the right amount of oxford comma. Which is all of them.

Platform Prerequisite 

To facilitate the hands-on sessions, we are delighted to announce that DataRobot, our diamond partner, is providing hands-on session attendees with free access to their AI platform. 

Many of our workshops  and tutorials will utilize the AI Platform for instruction and collaboration. It automates the end-to-end process for building, deploying, and maintaining AI at scale and also provides feature engineering, auto model evaluation, and advanced machine learning techniques. It comes preloaded with models and datasets so you can get started prior to the event.  Please note: YOU MUST BE REGISTERED TO GET FREE ACCESS to the AI Platform