• AWS Amplify for Full Stack Developers: Application Life Cycle

    Hi All! For our September Toronto AWS Users Group Meetup, Irina Geiman, Lead Solutions Architect at Onica Technologies with co-presenter Cleydson Andrade, Solutions Architect at Onica Technologies presents: "AWS Amplify for Full Stack Developers: Application Life Cycle." Please RSVP and we'll see you there!! Agenda: 6:00pm - Arrival, mingling, pizza eating 6:20pm - Welcome & Introductions 6:30pm - Presentation Begins 7:20pm - Q&A and Open Group Discussions 8:00pm - Event concludes Presentation Title: AWS Amplify for Full Stack Developers: Application Life Cycle Presentation Summary: Over the last year AWS Amplify came a long way. It enhanced developers experience by releasing new features that support modern development and CI/CD process. AWS values feedback from the community and prioritizes it's backlog accordingly. Let's have a close look at the application's lifecycle support and come with a constructive feedback. We will learn together how to create and maintain serverless web application using AWS Amplify and AWS Appsync. Presenter: Irina Geiman, Lead Solutions Architect, Onica Technologies Co-Presenter: Cleydson Andrade, Solutions Architect, Onica Technologies

  • Using AWS AI services and custom ML models to power your web applications

    Calling all AWS enthusiasts! This months meetup is all about using AWS AI services and custom Machine Learning models to power your web applications! Mike Apted, Startup Solutions Architect with Amazon Web Services, is back presenting for this months meetup! RSVP ASAP and we'll see you there! Agenda: 6:00pm - Arrival, mingling, pizza eating 6:20pm - Welcome & Introductions 6:30pm - Presentation Begins 7:20pm - Q&A and Open Group Discussions 8:00pm - Event concludes Presentation Title: Using AWS AI services and custom ML models to power your web applications Presentation Summary: In this session, we will look at how you can build a brand new web application to do speech to text generation, translate text, gain insights from text, convert text to speech, and to detect objects via the Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Polly and Amazon Rekognition respectively. We will then use Amazon SageMaker to label, train and deploy our own model against which we will make predictions from the web application. AWS Amplify, the open source project for building cloud-enabled mobile and web applications, added a Predictions category to make it easy for builders to add AI/ML to their application. No previous machine learning experience is required when using Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Polly and Amazon Rekognition. With only a few lines a code, you can interact with any of those services. In case builders would prefer to use their own custom models, Amazon SageMaker, a fully-managed service that covers the entire machine learning workflow, can be used to label and prepare your data, train a model, tune and optimize it for deployment and deploy it to make predictions. No prior Amazon SageMaker or AWS Amplify knowledge required. Only bring your passion for technology! Presenter Bio: Mike Apted is a technologist and entrepreneur. Mike brings over twenty years of experience in operations, development and solution architecture. From server administration, full stack and mobile development, DevOps, CI/CD, through serverless and other emerging tech. Currently, Mike enjoys working as a Startup Solutions Architect with Amazon Web Services. He focuses on helping startups live their best cloud life.