This course offers a practical exploration of Generative AI (GEN AI) and its transformative applications in financial data analysis. By examining real-world use cases and utilizing AI tools like Microsoft Co-Pilot, ChatGPT, Datarobot, and Chartpixel, participants will learn to extract actionable insights from financial datasets. The course emphasizes hands-on learning, enabling learners to build custom AI solutions using open-source models while adhering to ethical considerations.

This course is designed to take learners with a basic understanding of financial data and AI concepts to the next level, focusing on practical applications of Generative AI (GEN AI) in financial data analysis. You’ll dive deep into specific use cases, learning how to use AI tools to extract actionable insights from financial data. We’ll demonstrate AI tools in action, showing how to optimize financial strategies through data analysis, all while highlighting the best practices to maximize GEN AI’s potential in finance. Learners should have a basic understanding of financial analysis and AI/machine learning concepts, as well as familiarity with data handling and statistical methods. By the end of this course, learners will be able to use GenAI tools to extract actionable insights from large datasets, optimize data-driven decision making and develop innovate solutions for complex data challenges.