Deploy a Simple React Web Application using AWS AmplifyĪWS Amplify helps you build full-stack web applications on AWS and is my new favorite service! To get started, check out this online tutorial. If this project doesn’t sound cool, I don’t know which project will! You’ll also be exposed to additional services like AWS Lambda, AWS CloudFormation, Amazon CloudFront, and more. In this hands-on project, you’ll build a conversational interface that performs language translation. If you’ve never played around Amazon Translate or Amazon Lex, you’re in for a special treat. These services use pre-trained machine learning models allowing you to integrate intelligence into your existing applications with ease. I love the high-level AI services provided by AWS. Create a chatbot that translates languages using Amazon Translate and Amazon Lex This project uses the Python programming language, so familiarity with computer programming will be helpful. For this fun hands-on project, you will train a machine learning model to predict consumer behavior. SageMaker even offers “no-code” computer vision options for you none-coders out there. SageMaker offers “machine learning as a service (MLaaS)” and meets you where you are in your machine learning journey. If you’re curious about machine learning, but don’t know where to start, try out Amazon SageMaker. Train and deploy a machine learning model using Amazon SageMaker To get started, check out this online tutorial.ĥ.
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