The main goal for the project is to create data workflows for Generative AI application on AWS, specifically focusing on database management, data visualization, queries, and manipulation using SQL. The project will involve working with Ecomtent, a fast-growing venture-backed startup, to build superhuman AI to automate listing across ecommerce channels with AI-generated content. The project aims to make a meaningful impact on the future of Generative AI technology and reshape how the ecommerce industry sells, markets, and advertises products online.

The tasks that learners need to complete to achieve the project goal include:

- Setting up database management on AWS using DynamoDB and AWS Glue.

- Implementing data visualization using AWS Quicksight.

- Developing database queries and manipulation using SQL to support the Generative AI application.

- Testing the database workflows and making necessary improvements based on the application's requirements.

Final deliverables should include:

- Documentation of the database workflows and their integration with the Generative AI application.

- A report explaining the design process and outcomes of the database workflows.

- Presentation of the implemented database workflows and their impact on the Generative AI application.

You'll be working directly with a team of software engineers and researchers (PhDs). You'll have access to cloud infrastructure on AWS and will be contributing to customer facing solutions in production. We use Jira, Slack and Github for communication.