Enterprise GenAI & RAG for BFSI

This course equips banking, fintech, and trading professionals with the knowledge and hands-on skills to design, implement, and scale enterprise-grade Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) systems in highly regulated financial environments. It combines technical expertise with compliance-first principles, ensuring AI systems are production-ready, auditable, and aligned with financial regulations.

Who Should Attend:

• AI/ML engineers and architects in BFSI

• Data and cloud engineers working on regulated systems

• Product and technology managers in banks and fintechs

• Risk, compliance, and governance professionals seeking digital literacy in AI

What You’ll Learn:

• Enterprise RAG Architectures: Design and implement retrieval-augmented AI pipelines tailored to financial documents, contracts, and regulatory filings.

• Financial Knowledge Assistants: Build secure internal AI copilots that synthesize information from proprietary knowledge bases while maintaining compliance.

• Regulatory Intelligence Platforms: Develop real-time monitoring and Q&A systems to stay current with evolving financial regulations.

• Investment Research Automation: Use RAG-powered platforms to integrate market data, news, and internal research for actionable insights.

• AI Safety & Compliance: Implement hallucination detection, audit-ready logging, governance frameworks, and system integrations with document management solutions.

Core Technologies Covered:

• AI & RAG Tools: LangChain, LlamaIndex, Haystack, AWS Bedrock, Amazon SageMaker, Azure OpenAI

• Vector Databases: Pinecone, Weaviate, FAISS, pgVector

• LLMs: GPT-4/5, Claude 3.x/4.x, Semantic Search & Embedding Models

Learning Outcomes:

• Build production-grade AI pipelines that meet UK regulatory standards

• Deploy retrieval-augmented AI systems optimized for BFSI workloads

• Integrate AI solutions with existing cloud infrastructure and document systems

• Ensure security, auditability, and compliance in all AI operations

Format & Delivery:

• Hands-on workshops and labs

• Real-world BFSI case studies and implementation exercises

• Guidance from senior engineers with expertise in regulated financial systems

Why This Course Matters:
Banks and fintechs operate under stringent compliance requirements—AI projects must deliver precision, reliability, and governance. This course bridges the gap between cutting-edge AI technologies and the operational realities of regulated finance, empowering participants to innovate safely and confidently.