Adding machine learning to your software engineering toolbelt (Level 200)

Machine learning will be intertwined in almost every application, business process, and end-user experience. However, there are key barriers to ML adoption that need to be addressed include democratization of machine learning and upskilling. This session outlines the pragmatic approaches, tips and tricks on how to enable builders to develop ML skillset starting with the use of machine learning as a code assistant. We demonstrate the use of Amazon CodeWhisperer, a machine learning (ML)–powered service to improve builders’ productivity by generating code recommendations based on comments in natural language and code in the integrated development environment (IDE). We then dive deep into other AWS services which you can leverage and build your own machine learning models. Download slides »
Speaker: Matt Coles, Principal Engineer, AWS
Duration: 30mins