To wrap up, we have examined key aspects of relational databases - including their theory, applications, operations, relations, normal forms, and practical implementation in a programming language. Throughout this course, we leaned on Python due to its simplicity and readability - allowing us to explore computational concepts behind relational databases structure and core operations.

We constructed a simple relational database from scratch, we experienced how various operations can be performed including querying, and learnt how to expand the functionality according to growing needs. This included implementing changes like adding, deleting or updating datasets as needed. This is crucial in application development, especially in sectors like finance and AI, where data's dynamism and volume are significant.

Now that you understand the basic functionality of relational databases, the next steps can involve digging deeper into more complex aspects of database management systems. You might consider exploring distributed databases, concurrent operations, and locking mechanisms.

Additionally, you can start working with professional database management systems like PostgreSQL or MySQL - applying the foundational knowledge you've gained here. This will improve your perspective on real-world applications and further your skill set.

Remember, the best way to learn is by doing. The more databases you try to build and manage, the better you'll understand how underlying structures and operations work. Regardless of the path you take after this course, the key is to keep learning, experimenting, and solving problems. Happy coding!