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AI-Powered Financial Insights with LLMs

Elevate Market Analysis with Intelligent Dashboards

  • Schedule

    2 – 4 September 2025

    18.30 – 21.30 (WIB)

  • Online-Interactive Learning

    via Zoom

  • Investment

    Rp. 1.500.000

Course Summary

In today’s fast-moving financial world, analysts and decision-makers need tools that deliver insight from live data—not just predictions. This workshop introduces a practical end-to-end workflow that transforms real-time financial data into a responsive, intelligent application using cutting-edge tools.

The focus of this workshop is on exploring and extracting insight from the Sectors API, a rich source of structured financial data across companies and subsectors. Rather than training a predictive model, participants will build an AI-augmented dashboard that provides narrative summaries and financial profiling for selected companies or sectors, using lightweight large language models (LLMs).

This workshop is ideal for those who want to see how modern APIs and LLMs can enhance business understanding—without needing massive datasets or heavy model training.

Learning Outcomes

Upon completion of this workshop, you will be able to:

  • Set up and manage a Python environment for working with live API data
  • Fetch, explore, and transform financial data from the Sectors API
  • Perform financial profiling of companies and subsectors using tabular data
  • Generate narrative summaries using LLMs (via Groq API and LangChain)
  • Build and deploy an interactive financial insight dashboard using Streamlit
  • Understand how to combine human-like LLM output with real-time data pipelines

Syllabus

  • What we’re building: A data-driven insight tool (not prediction-based)
  • Introduction to Sectors API & LLMs
  • Setting up your Python environment
  • Understanding sector, subsector, and company data from the API
  • Fetching data from the Sectors API
  • Converting API responses into usable dataframes
  • Performing data inspection and summarization
  • Identifying useful metrics (e.g. revenue, earnings, cash flow)
  • Profiling companies based on financial performance
  • Introduction to LLMs for summarization
  • Setting up langchain_groq with Groq’s free LLMs
  • Creating prompts from tabular data
  • Generating investor-style summaries automatically
  • Creating Streamlit UI (dropdowns for sector, company)
  • Displaying tables, and summaries
  • Real-time LLM interaction within dashboard
  • Final polish and deployment guide

STUDENT TESTIMONIALS

This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.

LEARN FROM ANYWHERE

Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.

  • LEARN AT YOUR OWN PACE

    Zoom recording, course Books (PDF & HTML files), the dataset for practice, reference notes, and working files are accessible through our Learning Management System account.

  • PROOF YOUR MASTERY

    Show current and prospective employers of your mastery in computer vision with a signed certificate of completion.

  • CONNECT WITH LIKE MINDED PEOPLE

    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.

FOR ABSOLUTE BEGINNERS

Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

Yes, you can still attend the workshop as it is a beginner-friendly workshop.

Our system will send you an email containing a link and details to join a Google Classroom.

Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.

Learning materials can be obtain via Google Classroom

Yes, you will receive a certificate of completion.

YOUR INSTRUCTOR

Dwi Gustin Nurdialit

Sr. Data Science Instructor at Algoritma Data Science School

Dwi Gustin Nurdialit is a Senior Data Science Instructor with over 3 years of experience using programming languages like R, Python, and SQL. She has excelled as a lead instructor in numerous corporate training sessions spanning diverse industries, including finance, retail, logistics, mining, and telecommunications. Dwi also plays a key role as a course producer, creating materials for corporate training programs, focusing on data visualization, machine learning, and Large Language Models (LLM). Her passion lies in making data science accessible and practical for everyone.