Topic 1: User onboarding wizard for JavaFX application

Description:
Design and implement a user-friendly onboarding wizard that guides new users through the essential features and functionalities of a JavaFX-based application. The wizard will provide an interactive experience, helping users understand the application's capabilities and how to effectively use them.

Key attributes / Main competencies:
Java, UML, JavaFX, Object Oriented Programming, Design, UI/UX, Git

Learning Outcomes:
You'll develop skills in user experience design, usability testing, and effective communication of application functionalities.

Topic 2: Implementing multilingual support in a desktop application

Description:
Implement multilingual support in a JavaFX desktop application, allowing users to interact with the application in their preferred language. This involves creating a flexible system for managing translations, integrating localization features, and ensuring that the user interface adapts dynamically to the selected language.

Key attributes / Main competencies:
Java, UML, JavaFX, Object Oriented Programming, Git

Learning Outcomes:
You will understand localization and internationalization principles. You'll learn to use Java resource bundles for managing translations effectively. You'll gain skills in designing adaptable user interfaces in JavaFX.

Topic 3: Implementing Connectivity with Cloud-Based Data Sources

Description:

Design and implement a connectivity framework that enables efficient data ingestion, processing, and analysis with cloud-based data sources like Databricks, Amazon S3, Snowflake, Google Cloud Storage, etc.

Key Attributes / Main Competencies:

1. Cloud-Based Data Integration: Understanding and configuring data source connections for cloud platforms like Amazon S3, Databricks, Snowflake, and Google Cloud Storage.
2. API and Connector Knowledge: Researching and utilizing Spark connectors and APIs specific to cloud storage and processing services.
3. Technical Configuration and Optimization: Setting up and optimizing connectors for high-performance, secure data transfer.
4. Framework Development: Designing a reusable, modular connectivity framework for efficient data ingestion and authentication with different cloud sources.

Testing and Validation: Performing integration tests to ensure reliable connectivity and functionality

Learning Outcomes:

1. Technical Proficiency in Cloud Connectivity: Gain hands-on experience configuring data connectivity with major cloud services and applying secure, optimized data transfers.
2. Framework Design Skills: Learn to create and implement a scalable, reusable connectivity framework, addressing the unique requirements of different cloud-based data sources.
3. Analytical and Research Skills: Develop the ability to investigate and assess various connectivity options, including connectors and APIs, for specific cloud providers.
4. Testing and Quality Assurance: Understand the importance of integration testing in verifying reliable connections and ensuring data accuracy.