Artificial Intelligence is taking the world by storm, fueled largely by the introduction of the elastic compute resources in public cloud. If you’ve recently shopped online, searched the web, or streamed a video, you’ve almost certainly interacted with systems powered by AI. These systems are built on powerful Machine Learning (ML) algorithms, that until recently, required large time and financial commitments, as well as specialized knowledge and experience to properly develop, train and test. This is not so any more — the power of cloud computing has brought ML to the masses. Every developer now has the ability to leverage powerful ML resources of the cloud and bring the benefits of AI to their customers and users.
But … where do you start? What services can you use? What services should you use? How do you integrate those services into you application?
During this session we’ll answer those questions, and more, while building an AI-enabled PHP application. We’ll review ML, introducing common concepts, terms and language. Then, we’ll look at what ML services AWS provides and talk about which of those services is the right match for your application and for your team & skill set. Finally, we’ll walk through a real-world design and demo the resulting PHP application. You’ll walk away from this session with the confidence and knowledge necessary to make the right choices for your own application.
You don’t have to be an AI/ML expert to attend this session, nor do you need AWS experience. We’ll keep that at a fairly high level. But we will be walking through PHP code examples, so some familiarity with the language would be beneficial.