I’ve seen a lot of posts lately about using LLMs in finance beyond toy demos — forecasting, compliance checks, research workflows, agent-style systems, etc. Most resources I’ve come across are either super high level or very generic “LLMs 101” content.

I recently came across a **live, cohort-based course focused specifically on Generative AI and Agentic AI for finance**, and it actually looks… legit? It’s run by Packt and aimed at people who are already building things (ML engineers, quants, data scientists, eng leads).

What stood out to me:

* It’s **finance-first**, not “here’s ChatGPT, now imagine finance”
* Covers **time series transformers**, **multimodal RAG (text + tables + filings + images)**, and **agent architectures** for real workflows
* A lot of emphasis on **evaluation, monitoring, and guardrails**, which is usually skipped but matters a ton in regulated environments
* Live sessions + hands-on labs + office hours (not just prerecorded videos)

The agenda goes from transformer fundamentals and efficient fine-tuning (LoRA/QLoRA) → RAG done properly → multimodal systems → agent frameworks like ReAct/LangGraph, with deployment and observability baked in.

It’s a **4-day virtual course** spread across **March 28–29 and April 11–12** (ET time zone). Seems like it’s designed for people who already know ML basics and want to apply GenAI seriously in finance contexts.

Not affiliated, just sharing because I know a lot of folks here are trying to bridge the gap between “cool LLM demo” and “this won’t get us yelled at by compliance.” If you’re in that boat, this might be worth checking out.

Happy to discuss if others here are building similar systems or have found good resources 👍

Anyone here working on GenAI/LLMs in finance? Found a solid live course that actually goes deep