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This mini-course is intended to apply foundational Python skills by implementing different techniques to develop applications and AI powered solutions. Assume the role of a developer and unit test and package an application with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin developing AI enabled applications using Python, build and run unit tests, and package the application for distribution.
Prior to submitting your work and reviewing your peers, please ensure you have completed the hands-on lab portion of the project.
The total number of points possible for this assignment is 25.
You will be required to provide screenshots of the services created, the output of the web application, the URL of your deployment and the Github URL where you have your code to showcase the completion of the project. Ensure that the screenshots are clear and URLs are accessible. Ensure that no sensitive information is exposed through your Github repository.
You will be required to take screenshots as you complete the assignment and upload them for your peers to review. You will be awarded points up to the maximum given for the successful submission of the screenshots showing your work. Points will be awarded for the completeness of the work.
I hope this Python Project for AI & Application Development Peer-graded Assignment Solution would be useful for you to learn something new from this Course. If it helped you then don’t forget to bookmark our site for more peer graded solutions.
This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.
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