This course on Generative Artificial Intelligence (AI) in Finance and Banking explores practical applications of generative AI technologies across various finance domains. The participants will learn how financial institutions can leverage large language models, synthetic data generation, and other AI technologies to enhance decision-making, improve efficiency, and create innovative financial products and services.
The training consists of the key topics including the key Generative AI concepts relevant to finance, the technical aspects of the Generative AI implementation identifies the key technologies involved, AI agents in Finance, Deep dive into MS Co Pilot, Perplexity and generative AI use cases in an organization.
The course evaluates the risks and limitations of AI implementation in financial contexts. The training helps develop strategic frameworks for responsible AI adoption and collaborate effectively with technical teams for AI initiatives.
The first half of the course covers two modules on foundations of Generative AI in finance and the technical aspects of the application of Generative AI in banking and finance. The modules cover the evolution of AI in financial services, the key generative models and their capabilities(LLM’s, Diffusive Models and GAN’s). It also looks at the application of synergy between Data Analytics and Generative is explored in detail along with the predictive insights and practical challenges in the implementation of AI and ML applications in Finance.
The second half of the training introduces Advanced Generative AI models and applications like ChatGPT, Gemini, MS Co Pilot and other generative AI agents in the market landscape. The concepts of AI agents in Finance is explained with reference to Perplexity and its relation to the AI generated content. The section on the deep dive into MS Co Pilot enunciates the architecture, design and implementation of the MS Co Pilot in financial services. The high impact areas and applications of Generative AI in Finance are discussed along with the ethical and compliance considerations at the end of the training course module.