Get acquainted with Large Language Models (LLM) and understand their role in AI-driven software engineering. Explore the potential of LLM in various applications and gain insights into how it can enhance the development and delivery process.

Dive into a real-world case study and understand the requirements of a practical application. Apply the knowledge gained throughout the day to start conceptualizing and planning the development process.

Learn the art of designing applications and creating artifacts in the design phase and generate documentation to enhance project clarity.

Delve into the practical aspects of code generation using LLM. Learn how to leverage language models to automate code creation, speeding up the development process and ensuring code efficiency.

Put your skills into action by writing test cases and testing the application you coded earlier to detect functional usability.

Discover the power of refactoring with LLM. Understand how to improve and optimize existing code using language models, ensuring better maintainability and scalability of your applications.

Learn the art of designing and creating comprehensive documentation using LLM. Explore how language models can assist in the generation of documentation to enhance project clarity.

Put your skills into action by creating the first version of the application based on the case study and identified requirements. Experience the end-to-end process of developing a software application using LLM.

Transition into machine learning modeling, exploring how AI can enhance application functionality. Learn the essentials of integrating machine learning concepts into your software engineering projects.

Understand the crucial aspect of data interaction in AI applications. Explore how to manage, process, and interact with data to optimize the performance of your machine learning models.

Take the first version of your application to the next level. Apply machine learning principles, refine the user experience, and implement improvements based on feedback and performance analysis.

Focus on creating a user-friendly interface for your application. Explore the role of UI in enhancing user experience and understand how to design interfaces that complement the functionality of your AI-driven application.

Apply the principles of refactoring to enhance the efficiency, maintainability, and scalability of your application. Ensure that your codebase remains robust and adaptable as you integrate new features and improvements.

Conclude the workshop by creating comprehensive documentation for your AI-driven application. Learn how to prepare user manuals that effectively communicate the features, functionality, and usage instructions to end-users.