- The Lite account may need payment by the time you see this, but use this code. Note: It was approved by the time I submitted this. Now on to IBM text: The final project for this course has several steps that you must complete. To give you an overview of the whole project, all the high-level steps are listed below. The project is then divided into several smaller labs. You must complete all the labs to successfully complete the project.
Prework: Sign up for IBM Cloud account and create a Watson Natural language Understanding service
- Create an IBM cloud account if you don't have one already.
- Create an instance of the Natural Language Understanding (NLU) service.
Create a repository with a project then build and deploy the project
- Create static pages to finish the user stories
- Deploy the application on IBM Cloud
Add user management to the application
- Implement user management using the Django user authentication system.
- Set up continuous integration and delivery
Implement backend services
- Create cloud functions to manage dealers and reviews
- Create Django models and views to manage car model and car make
- Create Django proxy services and views to integrate dealers, reviews, and cars together
Add dynamic pages with Django templates
- Create a page that shows all the dealers
- Create a page that show reviews for a selected dealer
- Create a page that let's the end user add a review for a selected dealer
Containerize your application (docker)
- Add deployment artifacts to your application
- Deploy your application