What is covered in this AIFI webinar?
- Introduction from Geoff Brown, WBS Training, Global Head of Business Development.
- LLM's and Ai Agents in Finance Certificates - Information Session presented by Head of AIFI Faculty: Dr Miquel Noguer i Alonso
- Followed by a Q&A
AI Agents in Finance Certificate
About the programme - We are thrilled to share the launch of the AI Agents in Finance Certificate, a hands-on, 21-hour program designed for finance professionals and Python enthusiasts who want to champion the next wave of intelligent automation in our industry. Here’s why you won’t want to miss it:
🔍 What You’ll Learn
- Design, orchestrate and govern autonomous LLM agents for trading, risk management, fraud detection and personalized advisory.
- Integrate orchestration frameworks (OpenAI Responses SDK, AutoGen, CrewAI, LangChain) with RL-tool libraries (ARTIST, ReCall, verl).
- Build multi-agent “crews” that plan, code, self-correct and evaluate performance using AgentBench benchmarks and tail-risk metrics.
- Labs include: SEC-filing analysis committees, VaR repair-bots, streaming - RAG pipelines, four-agent prop-desk crews and more!
This intensive, hands-on course explores cutting-edge Large-Language-Model (LLM) Agents-and their hybridisation with reinforcement learning-in the financial domain. Students design, orchestrate, interpret and govern agentic systems for algorithmic trading, fraud detection, risk management and personalised advisory. Every session features sub- stantial coding labs using production frameworks (OpenAI Responses SDK, AutoGen, CrewAI, LlamaIndex, LangChain) alongside emerging RL– tool-use libraries (ARTIST, ReCall, verl).
https://www.wbstraining.com/events/ai-agents-in-finance-certificate/
Large Language Models (LLMs) in Finance Certificate
The Large Language Models (LLMs) in Finance Certificate will guide participants through the essentials of LLMs, including their architecture, operation, and the latest advancements in the field. It will delve into the practical aspects of deploying these models for financial tasks, such as fine-tuning for domain-specific applications, implementing retrieval-augmented generation for enhanced information processing, and evaluating model performance. Through a series of hands-on examples and projects, learners will gain the skills necessary to apply LLMs effectively within the finance sector, addressing real-world challenges and unlocking new opportunities.
https://www.aifinanceinstitute.com/
