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27 - 29 October 2025
In Person

27 - 29 October 2025
In Person

LLMs in Finance Masterclass

Hands-On Fine-Tuning, RAG & Multi Agent Applications

30+ Production-Ready Notebooks: Code Your Way to LLM Finance Mastery

Fast-track from concept to implementation with our comprehensive code library, 30+ specialised Jupyter notebooks designed for immediate deployment in financial environments. Don’t just learn about LLMs, build them, optimise them, and put them to work on Monday morning.

Sign up now for the LLMs in Finance Masterclass training course

Master the Future of Finance with Practical LLM Implementation

Large Language Models (LLMs) are revolutionising the financial sector, powering everything from sophisticated market analysis to complex trading systems. This intensive three-day masterclass delivers hands-on, finance-focused training in designing, optimising, and deploying LLM-based systems that address real-world financial challenges.

Unlike theoretical courses, this masterclass emphasises practical implementation through extensive coding sessions focused on financial use cases. Every concept is demonstrated through interactive Jupyter notebooks tailored specifically for financial applications, from sentiment analysis of market reports to multi-agent systems for investment analysis.

What Sets This Masterclass Apart

  • 100% Finance-Focused Content - All examples, exercises, and applications are specifically designed for financial markets, trading, risk management, and investment analysis

  • Comprehensive Code Repository - Take away over 30 Jupyter notebooks covering all topics, with many components ready for immediate production implementation

  • Complete Multi-Agent System - Receive a fully functional code base for a multi-agent investment analysis system integrating sentiment analysis, fundamental analysis, and technical analysis

  • Expert-Led Hands-On Training - Learn directly from Nicole Königstein, a globally recognised thought leader in LLMs and agentic architectures with deep expertise in quantitative finance

  • Production-Ready Implementation - Learn deployment strategies using Streamlit and DigitalOcean, providing a fast path to production readiness

What You'll Take Away

  • Practical Skills to implement LLM-based systems for financial applications
  • Extensive Code Library with over 30 notebooks covering all course topics
  • Complete Multi-Agent System for investment analysis ready for customisation
  • Deployment Knowledge for bringing LLM applications into production environments
  • Advanced Techniques for optimising LLM performance in financial contexts

Who Should Attend

This masterclass is designed for professionals seeking to leverage LLMs in financial environments:

  • Quantitative Analysts applying AI to trading strategies and risk models
  • Data Scientists building predictive financial models
  • IT Professionals implementing AI systems in financial infrastructure
  • Financial Analysts seeking to automate research and reporting workflows

Requirements

  • Intermediate-level Python programming experience
  • Basic understanding of machine learning concepts (transformer basics will be covered)

Course Highlights

As financial institutions increasingly adopt AI technologies, professionals with practical LLM implementation skills are in unprecedented demand. This masterclass provides the hands-on experience needed to lead this transformation.

Day 1: Foundations & RAG for Financial Applications

Transform financial document analysis with optimised RAG architectures
Apply advanced chunking strategies to financial reports and market data

Implement finance-specific prompt engineering techniques

Day 2: Agent Architectures for Financial Decision-Making

Build specialised agents for financial data retrieval and analysis
Develop multi-agent systems for complex market assessment
Implement advanced reflection techniques for improved financial reasoning

Day 3: Deployment & Practical Financial Use Cases

Create deployable applications for automatic investment reports
Implement sentiment analysis for news and financial reports
Develop secure sandbox environments for financial code execution

schedule

Date

maps_home_work

Delivery Type

person

Trainer

language

Language

27 Oct 2025

3 days

08:30 14:30 Europe/London

location_on

In Person

London, UK

English

£3,095.00

£2,786.00

Book by 22 September
to save £309.00

  • 27 Oct 2025

    3 days, 08:30 14:30 Europe/London

    location_on

    In Person

    London, UK

    Language: English

    £2,786.00

    £3,095.00

    Book by 22 September
    to save £309.00

Contact us

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Learn More About This LLMs in Finance Masterclass Training

Run this course in-house

The International Faculty of Finance's customised training solutions have helped organisations deliver tailored learning in different languages to suit every requirement.

Certified by IFF

The International Faculty of Finance is one of the world’s leading specialist financial training organisations, providing participants in global financial markets with intensive technical training courses, such as private equity training programs, designed to help them succeed on the global stage. Established in 1991, we have grown our business internationally and now deliver private equity analyst training globally, in person and online.