Generative AI in Finance and Banking

The trainer an expert in credit and fraud risk management and anti-money laundering, regulatory compliance content creation and delivery as a banking and corporate trainer with over 25 years of banking industry experience across India and the UAE. He has a track record of delivering trainings in the Middle East region banks and financial institutions over the last 6 years. He has experience across retail and corporate banking, wealth management and commercial lending with a deep understanding of banking data sensitivity, compliance requirements and implementation of the enterprise fraud management systems.

He is currently acting as a Risk Management professional and is also a trainer cum faculty at the Emirates Institute of Finance (EIF), UAE for the last 6 years. He is currently pursuing his certification in Anti Money Laundering (ACAMS) and is also trainer faculty with multiple institutes and organizations in India and the Middle East region.  He employs a practical, results-oriented methodology that balances technological innovation with banking industry realities. He emphasizes responsible implementation of generative AI within regulatory constraints, creates engaging learning experiences through real-world banking case studies, interactive demos, and hands-on labs tailored to different banking roles and knowledge levels.

The trainer has trained thousands of aspiring bankers, middle management executives and C-suite members during the last 6 years and conducted multiple workshop's and training delivery on courses including Introduction to retail and corporate banking, risk management, credit underwriting and control, insurance frauds and risk management, anti-money laundering and regulatory compliance, treasury solutions and investment portfolios, FATCA and CRS implementation in banks and financial institutions.

His areas of expertise include AI applications and Machine Learning solutions for banking use cases, and responsible AI implementation strategies for financial institutions. He has training creation and delivery experience in the areas of developing and delivering comprehensive curriculum and master class in Generative AI strategy and implementation in banks, regulatory preparedness sessions on emerging AI governance frameworks and designing specialized training on prompt engineering for banking-specific applications in the Middle East region.

By the end of this course, participants will be able to:

• Understand Generative AI and its applications in finance and banking
• Leverage Data Analytics and AI for risk management, credit scoring, and decision-making
• Explore AI & ML Models like GANs, Transformers, and Neural Networks
• Use Advanced AI Tools such as ChatGPT, Gemini, FinGPT, and MS CoPilot
• Implement AI Agents in finance operations and data analysis
• Apply Perplexity AI & Sentiment Analysis for market research and investment insights
• Integrate CoPilot Technology into financial systems for automation and efficiency
• Analyze Real-World AI Use Cases in fraud detection, trading, and compliance
• Address Ethical & Compliance Challenges related to AI transparency, bias, and regulations

This course equips finance professionals with the knowledge to apply Generative AI effectively.

• Finance professionals seeking to understand how generative AI can transform their workflows
• Risk managers interested in AI-powered scenario analysis and stress testing
• Financial analysts looking to automate report generation and data synthesis
• Investment bankers wanting to leverage AI for market analysis and deal evaluation
• Compliance officers interested in AI-assisted regulatory monitoring
• Technology leaders in financial institutions responsible for AI implementation
• Data scientists in Finance wanting to expand their generative AI toolkit
• Business strategists evaluating AI investment opportunities in Finance

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.