Description

In this transformative Generative AI Hands-On course, we will explore the vast potential of Generative AI in the BFSI. Discover how this cutting-edge technology is reshaping the industry and enabling hyper-personalization to deliver exceptional customer experiences. Through interactive sessions, we will demonstrate the step-by-step process of building a generative AI application specifically tailored for BFSI, providing you with hands-on experience and practical insights.

Learn the tools, techniques, and best practices necessary to harness Generative AI’s power and achieve hyper-personalization in the BFSI sector. Learn how to build LLM-powered Generative AI models with your own data and business context. Join to unlock the secrets of successful implementation and revolutionize your business strategies with this groundbreaking technology.

Learning Outcomes

1. Gain a comprehensive understanding of how Generative AI is transforming the BFSI sector and enabling hyper-personalization.
2. Acquire hands-on experience by participating in interactive sessions that guide you through the step-by-step process of building a generative AI application tailored for BFSI.
3. Discover strategies to achieve hyper-personalization in the BFSI sector using Generative AI.
4. Gain the knowledge and insights necessary to revolutionize your business strategies with Generative AI.

Workshop Outline

1. Introduction to Generative AI:
   1. Fundamentals of Generative AI
   2. Generative AI relevance in the BFSI industry.
   3. Capabilities and implementation limitations
2. The Impact of Generative AI on Customer Experiences
   1. Reshaping customer experiences
   2. Case studies highlighting successful implementations of Generative AI for hyper-personalization
   3. Identifying the benefits and advantages of leveraging Generative AI in BFSI
3. Hyper personalization
   1. Exploring techniques and approaches for achieving hyper-personalization using Generative AI
   2. Leveraging customer data and AI models for personalized product and service offerings
   3. Best practices for implementing hyper-personalization strategies in the BFSI sector
4. Hands-on session: Building a Generative AI Application
   1. Introduction to the step-by-step process of building the application
   2. Tools, frameworks, and technologies for developing the application
   3. Techniques for generating personalized responses
5. Hands-on session: Deploying Generative AI Applications
   1. Deployment process for generative AI applications
   2. Exploring deployment options and considerations

Prerequisites

• Basic knowledge of Python and object-oriented programming
• Knowledge and familiarity with AI concepts