AI & LLMs for Finance & Analytics

About this course

AI & LLMs for Finance & Analytics

Artificial Intelligence and Large Language Models are transforming the way financial professionals analyse information, work with data, conduct research, manage risk, and automate business workflows.

This course provides a practical introduction to AI, Generative AI, LLMs, RAG, financial document intelligence, AI agents, automation, and advanced LLM applications specifically for Finance and Analytics.

You will begin by understanding why AI is important in Finance, how LLMs work, and how to use LLMs for financial applications. The course then progresses into prompt engineering, structured outputs, embeddings, semantic search, RAG systems, financial document intelligence, and evaluating RAG-based applications.

The course moves from concepts into practical financial applications including NL-to-SQL, data cleaning and EDA, news and sentiment analytics, financial forecast narratives, automated financial reporting, financial tool-using agents, financial research agents, workflow automation, analyst copilots, and AI-powered financial workflows.

You will also explore advanced topics such as fine-tuning, LLM system evaluation, guardrails, security and PII, cost and latency, model selection, and model risk and governance.

What You Will ExploreAI applications in Finance and Analytics

How Large Language Models work

Generative AI for financial applications

Prompt Engineering for FinanceStructured outputs

Embeddings and semantic search

Retrieval-Augmented Generation (RAG)Advanced RAG systems

Financial Document Intelligence

Evaluating RAG applications

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