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6-month career track to become a Finance AI Expert

Automate reporting, detect anomalies and model scenarios with AI.

₹19,999₹45,00056% OFF

Get 100% fees back as a reward if you complete the 6-month challenge.

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250k+ learners

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AI for Finance programme illustration

AI for Finance

Foundation → Professional → Master · ₹7 – 35 LPA

1:1

Live mentors

3+

Projects

3 levels

Certificate

Mentors live now

1-on-1 live doubt solving with expert mentors

Never stay stuck. Real practitioners join you on call, review your screen and unblock you the same evening.

Daily live doubt support

Mentors online 7 PM – 11 PM, every single day.

7 days / week

Instant doubt clearing

Audio + screen share sessions until it truly clicks.

< 5 min wait

Personalised guidance

Project reviews and 1:1 career mapping with your mentor.

1:1 sessions

Portfolio & CV building

Line-by-line help to make you recruiter-ready.

Recruiter-ready
Overview

Everything in this career track

Earning potential

₹7 – 35 LPA

Typical range for AI for Finance roles after completing all three levels and building a recruiter-ready portfolio.

Certification

Level-wise ACRY certificate

Commitment

6–8 hrs / week, self-paced

Tools you'll master

Hands-on with the exact AI stack hiring teams ask for in AI for Finance interviews.

Excel CopilotPythonSQLPower BI

3 levels

Foundation → Master

100%

Project-based learning

Curriculum

Foundation → Professional → Master

One ladder, three levels. Each level ends with a shippable project, a certificate and a clear next step.

01

Foundation

AI fundamentals mapped to finance

Weeks 1-4 · 40 hrs 4 modules · 11 topics

01. How AI actually works

6 hrs
  • LLMs, tokens, context windows and hallucinations explained simply
  • Where AI genuinely helps in finance — and where it fails
  • Responsible use, data privacy and review checkpoints

02. Prompt engineering for Finance

10 hrs
  • Role, context, constraint and example-driven prompt frameworks
  • Reusable prompt library for recurring finance tasks
  • Chain-of-task prompting and output quality scoring

03. Core toolkit — Excel Copilot, Python, SQL

12 hrs
  • Hands-on setup and real workflows in Excel Copilot
  • Hands-on setup and real workflows in Python
  • Hands-on setup and real workflows in SQL

04. Foundation mini project

12 hrs
  • Build a starter version of the invoice extraction agent
  • Mentor review, rework and Foundation certificate

Level outcome: Confidently use AI copilots inside day-to-day finance work.

Most chosen02

Professional

Job-ready finance systems

Weeks 5-12 · 90 hrs 4 modules · 12 topics

01. Data, automation and workflow design

20 hrs
  • Map and automate the highest-value finance workflows
  • Connect Power BI with APIs, Zapier / n8n style automation
  • Quality gates, human-in-the-loop and error handling

02. RAG, agents and custom copilots

24 hrs
  • Vector databases, retrieval and grounding on your own documents
  • Build a finance agent that completes multi-step tasks
  • Evaluation: accuracy, cost and latency tracking

03. Applied build — Fraud detection model

26 hrs
  • End-to-end build of the fraud detection model
  • Fraud & anomaly detection
  • Weekly mentor code / work reviews

04. Portfolio, resume and interviews

20 hrs
  • Case-study style portfolio with before/after metrics
  • Resume and LinkedIn rewritten for AI Finance Analyst roles
  • AI-scored mock interviews with feedback

Level outcome: Automate reconciliation

03

Master

Leadership, strategy and placement

Weeks 13-20 · 80 hrs 4 modules · 11 topics

01. Capstone — Rolling forecast engine

30 hrs
  • Enterprise-scale build of the rolling forecast engine
  • Architecture review, cost model and documentation
  • Live demo day in front of a mentor panel

02. AI strategy and team enablement

18 hrs
  • Build an AI adoption roadmap for a finance function
  • Governance, risk, vendor selection and ROI modelling
  • Train and lead a team on new AI workflows

03. Consulting and freelance practice

14 hrs
  • Scoping, proposals and pricing for AI projects
  • Client discovery calls and delivery playbook

04. Placement accelerator

18 hrs
  • Referrals and applications for AI Finance Analyst, FP&A Lead, Risk Analyst
  • 1:1 career mapping, salary negotiation and offer review
  • Master certificate and lifetime alumni access

Level outcome: Scenario modelling

Outcomes

What you walk away with

Skills, job titles and a portfolio — the three things a recruiter actually checks.

3 skills

Learning Outcomes

  • Automate reconciliation
  • Fraud & anomaly detection
  • Scenario modelling
3 roles

Career Opportunities

  • AI Finance Analyst
  • FP&A Lead
  • Risk Analyst
3 projects

Portfolio Projects

  • Invoice extraction agent
  • Fraud detection model
  • Rolling forecast engine
Roadmap

Your 6-month AI for Finance roadmap

Six focused months — what you learn, what you build and what you can show at the end of every month.

6-Month Roadmap

AI for Finance — month 1 to month 6

6 phases · 1 month each
  1. Month 101

    AI foundations

    Understand AI and set up your finance toolkit

    • Career assessment and personalised roadmap
    • Prompt engineering fundamentals
    • Set up Excel Copilot and Python

    Personal prompt library

  2. Month 202

    Applied tools

    Daily finance workflows run with AI

    • Automate 3 recurring finance tasks
    • Deep dive into SQL
    • Mini project #1 with mentor review

    Invoice extraction agent

  3. Month 303

    Systems build

    Data, automation and integrations

    • Connect tools with APIs and automation
    • Design quality checks and review loops
    • Weekly live doubt rooms

    Automated workflow with metrics

  4. Month 404

    AI agents & RAG

    Build an intelligent finance assistant

    • Vector database and retrieval on your own data
    • Multi-step agent with tool calling
    • Evaluate accuracy, cost and speed

    Fraud detection model

  5. Month 505

    Portfolio & proof

    Turn work into recruiter-ready evidence

    • Case-study portfolio with before/after numbers
    • Resume and LinkedIn rewrite
    • Deploy and document the capstone

    Rolling forecast engine

  6. Month 606

    Interview & launch

    Land AI Finance Analyst

    • AI-scored mock interviews and feedback
    • Referrals, applications and outreach plan
    • Salary negotiation and 30-60-90 day job plan

    Certificate + interview pipeline

Included

AI career services bundled free

AI Resume Builder

ATS-ready resumes tailored to each AI role.

AI Portfolio Builder

Turn projects into a recruiter-ready portfolio.

AI LinkedIn Optimizer

Positioning that attracts inbound recruiters.

AI Mock Interview

Realistic interviews with instant scoring.

AI Skill Gap Analysis

Know exactly what to learn next.

AI Career Roadmap

A personalised month-by-month plan.

Ready to start AI for Finance?

Join the 6-month challenge, build real projects and get placement support from day one.

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Learner reviews

What learners say about AI for Finance

Verified reviews from learners who completed the AI for Finance track and moved into roles like AI Finance Analyst.

Excellent

Rated 4.9 out of 5 based on 12 verified learner reviews for the AI for Finance programme.

Every review collected from enrolled learners after course completion

  • 5-star92%
  • 4-star8%
  • 3-star0%
  • 2-star0%
  • 1-star0%
15 June 2026

Good fit for finance & accounting

I was worried it would be too engineering-heavy for my background. It was not. The concepts are taught through the actual work finance & accounting do, and the SQL module clicked immediately.

NR

Nandini Rao

AI Finance Analyst · Kolkata

Verified
19 May 2026

Salary went up 80%

Two projects, one certificate and a much sharper way of explaining what I do with Excel Copilot and Python. I negotiated with a number in my head for the first time and got it.

MY

Manish Yadav

FP&A Lead · Chandigarh

Verified
4 December 2025

Practical, not theoretical

Zero fluff slides. Every session ended with something in my repo. The Fraud detection model in particular is the closest thing to real production work I have done outside a job.

NS

Neha Saxena

Finance & Accounting · Hyderabad

Verified
7 January 2026

Interview prep was brutally useful

The mock panel asked exactly the kind of questions I later faced for the AI Finance Analyst interview — trade-offs, cost, failure modes. Walking in the second time felt like revision, not an exam.

AM

Abhinav Mishra

AI Finance Analyst · Mumbai

Verified
27 April 2026

Moved into AI Finance Analyst

I was stuck doing the same reporting work for four years. The AI for Finance track gave me a portfolio, a story and enough Python depth to defend it. Offer letter for the AI Finance Analyst role came in nine weeks after finishing.

DP

Divya Prakash

FP&A Lead · Ahmedabad

Verified
12 January 2026

Mentor feedback on my Invoice extraction agent

The review call tore my first version apart in the best way — no evals, no error handling, no cost thinking. Version two of the Invoice extraction agent is now the centrepiece of my portfolio.

VS

Vikram Sethi

Finance & Accounting · Coimbatore

Verified

FAQs

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