Data Entry to generate/expand a prospect database

Chemicals 101 directly markets products research labs. Initial contact with the customer is done by email. To populate a database there is significant time to organize the contacts information. We would like to collaborate with students in data entry to work towards maintaining a functional database. This will involve several different steps for the students, including: Familiarizing themselves with our database structure. Transferring data into our databases efficiently. Verifying the accuracy of the data in our databases and making relevant updates. Organizing and retrieving data as requested. Bonus steps in the process would also include: Providing assistance in creating new databases.

Cloud Development of Generative AI solution on AWS

The main goal for the project is to develop the backend for Ecomtent's AI application that automates listing across ecommerce channels with AI-generated content. The application will be hosted on AWS and will require seamless integration with the existing AI technology. This will involve several different steps for the learners, including: - Understanding the existing AI technology and its functionalities. - Designing and developing the backend architecture for the AI application on AWS. - Implementing API integration with data providers.