This track equips learners to proficiently create, integrate, test, and deploy AI-driven applications and prompt engineering solutions, leveraging modern AI models and real-life cloud environments. This is a back-end oriented project.
Project Links
Project Resources
- Add any resources about the project
- https://platform.openai.com/docs/api-reference/chat
- https://platform.openai.com/docs/guides/text-generation#building-prompts
- https://www.nebuly.com/blog/llm-system-prompt-vs-user-prompt
MVP
Timeline
Week | Topic | Project Tasks | Learning (Read/Watch/Exercise) | Completed |
1 | Project definition | defining Project scope & techstack | which different techstacks you can come up with | True |
2 | First steps | ā github repo + playing with fastAPI | how to create a connection between a fastapi app with a database | True |
3 | Finalizing API | ā Finish CRUD for users fastapi + database
ā playing with generate meal plan + fitness plan | integrated the data management object for CRUD | True |
4 | Learning more about AI | ā making the plan structure and meal plan better
ā CRUD functions for every plan | Enum looks nice in Swagger UI | True |
5 | Finetuning the Program | ā resolve Errors | Bug fixing | True |
6 | Bringing PDF Export feature | ā learning how to do it | There are many ways to do it | True |
7 | ||||
8 | ||||
8+ |
MVP requirements
- Create a User
- Safe a User in PstgreSQL Database
- Delete a User
- Update a Users Info
- Create a Plan with User specifics
- Get the Plans
- Export the Plans into PDF
V2 optional requirements