AI For Finance Course

No coding required! This is a course designed specifically for finance people, not coders! Python is covered in 2 modules, but only conceptually; we use ready-made Python code notebooks in which you tweak input parameters instead of writing code from scratch. All other tools—ChatGPT, Power BI, Excel AI, DataRobot—work in any regular browser window or Excel itself. The course has been completed successfully by CAs, MBAs, and finance managers who had no previous knowledge of coding whatsoever.

This course is aimed at 5 categories of people: working finance professionals (analysts, FP&A managers, and CFOs), Chartered Accountants, MBA graduates specializing in finance, investment analysts, and people changing careers and entering finance/fintech roles. This course will be most beneficial to you if you know basic accounting concepts and have a working knowledge of Excel. Prior knowledge of AI is not required – Module 1 assumes no prior knowledge whatsoever. If you are a Chartered Accountant or Chartered Financial Analyst, then you will find this course highly relevant to your work needs.

This course teaches 9 tools divided into modules, which are: ChatGPT (for data analysis and financial commentary), Python with pandas and NumPy (no prior coding experience needed), Power BI, Excel AI (AI Copilot in Excel by Microsoft), Tableau, DataRobot, Bloomberg data feed, Salesforce Financial Services Cloud, and DataRails. All the above tools are introduced based on their application in real-life finance tasks – hence, you learn how to apply each one and what kind of results to expect.

The graduates can apply for positions like AI Financial Analyst, FP&A Manager (Specializing in AI), Risk Analytics Specialist, Quantitative Investment Analyst, Automation Consultant (Finance), and Compliance Analytics Manager. As reported by Glassdoor India and LinkedIn Salary Insights Q1 2026, AI specialists in finance earn salaries between ₹12-28 LPA in India as against ₹6-14 LPA earned by traditional finance employees at mid-career stages. The placement assistance at Gyansetu includes mock interviews and resume creation.

There are 6 uses of AI in the finance domain. These include automation of 3-statement financial models, scenario and sensitivity analysis, anomaly detection in transactional data for fraud detection, creation of a first draft of financial commentary based on raw data inputs, automation of FP&A variance reports, and credit risk scoring through machine learning models. ChatGPT’s data analysis function, Excel AI, and DataRobot can be used for task completion. The job of the finance practitioner now changes to assessing and interpreting the results of the AI tool.

The jobs that are being taken over by the AI are those associated with performing routine functions inside the finance job function. Such activities include routine data entry, reconciliation, report generation using templates, and variance analysis. The need for finance professionals capable of guiding the AI system, understanding its outputs, and making strategy-oriented decisions that the AI models cannot make is increasing. As indicated by a report by NASSCOM for the year 2025, 38% of the total hires made in India in relation to AI are business-oriented finance and analytics professionals.

A data science class is one where you learn how to construct AI models. An AI in Finance class is where you learn how to apply AI tools to finance-related issues without having to create the AI models from scratch. While data science involves coding skills in either Python or R, statistical knowledge, and modeling, AI for Finance involves domain expertise in finance and the application of off-the-shelf AI tools to finance processes. The two are complementary but for those who work in CA, MBA, or finance, AI for Finance is more practical.

Certainly, the curriculum is designed around the issues faced by CAs and CFAs every day. These modules deal specifically with financial modelling and automation of FP&A, with regulatory reporting, audit, and compliance with IFRS/IndAS through AI. The module on compliance automation, in particular, proves extremely relevant for CAs as per experience at Gyansetu. Some students at Gyansetu have completed this program while working as CAs and applied the FP&A automation process shortly after completion.

The duration of the program is spread out into 8 modules that include both live and pre-recorded lectures along with self-paced project work. Weekends and weekday batches are offered for the benefit of working financial analysts. The recording of all lectures is provided and can be accessed throughout one’s lifetime without having to worry about being busy during a monthly end-of-period closing process.

You receive an internationally recognized and NASSCOM registered Gyansetu certificate acknowledged by MNCs from India, world-class banks, and top consulting firms globally. You get the certificate via your unique identification code on Gyansetu’s online portal at gyansetu.in — your employer will be able to verify the certificate in less than a minute. The certificate is given to you after the completion of the Module 8 project only, and not upon the completion of the quiz. It serves to support your CA/CFA certification.