The simulation provided a practical introduction to applying generative AI and data analysis in a real-world financial context. I particularly liked working with 10-K financial data, analyzing trends using Python and pandas, and then using those insights to build a simplified financial chatbot prototype. It was a good balance between learning the concepts and applying them practically.

I enjoyed working on a realistic business scenario that demonstrated how Generative AI can solve practical problems. The simulation helped me strengthen my prompt engineering, problem-solving, and analytical thinking skills while providing hands-on experience with AI-driven workflows. It also gave me valuable insight into how consultants use AI to improve business decision-making.

I liked the practical and hands-on approach of the simulation. It gave me an opportunity to work with real-world financial data, analyze 10-K reports, and understand how Generative AI can be used to build a financial chatbot. I also enjoyed applying Python and data analysis skills to solve a business problem.