AI5 ACADEMY · APPLIED AI FINANCE LABS · UPDATED SEPTEMBER 2026

AI for Finance, Accounting & Audit Course

Who should join: Accountants · Finance executives · Commerce students

8 weeks · Online + Offline · 8 practical projects

Tools: Excel · Google Sheets · Power BI · ChatGPT · Claude · Gemini

Build: Verified financial-statement analysis and data-use checklist · Automated reconciliation workbook and formula-review log

Want syllabus, fees and batch timing?

Talk to AI5 Academy counsellor and get course details based on your background.

Perform AI-assisted close, reconciliation, FP&A, forecasting, MIS and audit work through verified finance labs.

Get syllabus on WhatsApp →
Online + Offline3 sessions per week60–90 minutes per sessionAI + domain practice
The decision compass115

Business questions meet evidence, options and action.

ASKWEIGHDECIDE
Duration8 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelBeginner
Projects8 substantial practical builds
Applied AI for Finance

What You Will Actually Do

Learn by Doing → Build → Check → Improve → Apply

Approximately 20% concepts and 80% practical application across the program. This is a teaching direction, not a fixed split for each class.

  • Verified financial-statement analysis and data-use checklist
  • Automated reconciliation workbook and formula-review log
  • AI-assisted monthly financial close pack
  • Budget variance and business-driver analysis
  • Rolling forecast and scenario model
  • Management MIS dashboard and reporting workflow
  • Audit working paper, control-test record and exception report
  • Finance automation project with workbook, management pack and verification record

8 weeks · 24 live sessions · approximately 24–36 instructor-led hours. Three sessions per week, generally 60–90 minutes each. Assignments, practice and portfolio work outside class are additional.

India and international Live Online learners can request a suitable cohort. Confirm local times and time-zone differences before enrolment.

Every finance lab includes a review.

Concept → Demonstration → Guided Lab → Independent Task → Verification → Professional Output.

Start with a realistic problem and source material. Watch the trainer perform the workflow, build it yourself, check the result, improve it and submit a usable workbook, report or investigation record.

Source & retrieveAnalyse & calculateCite & reconcileVerifyHuman review & approve

Verification exercises include invented numbers, incorrect calculations, broken formulas, unsupported assumptions, stale market information, wrong citations, incomplete or conflicting documents, missing data, outliers and misleading summaries. Keep a record of the error, correction and reviewer decision.

NEXT START OPTIONS

Choose a live batch.

Full batch calendar →

COURSE OVERVIEW

What this course
is built to do.

Apply AI to reconciliation support, reporting, audit preparation and forecasting under professional review and strict data rules.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINAccountantsFinance executivesCommerce studentsAudit and MIS teams
PREREQUISITE

Basic accounting and spreadsheet knowledge.

CONNECTED CAREER DIRECTIONS

AI-Supported Finance AnalystAccounts Automation AssociateFinance Reporting ExecutiveAudit Support Analyst

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You work with finance or accounting records

02

You need reporting and reconciliation support

03

You require strict data and approval controls

YOUR LEARNING ARC

From guided foundation to finished work.

01

Control

Set data, tool and review rules.

02

Prepare

Extract, match and investigate records.

03

Report

Build checked analysis and management packs.

04

Plan

Create forecasts, scenarios and dashboards.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Prepare a reconciliation exception file
  2. Build a monthly finance report
  3. Create a forecast and scenario dashboard
PRO
LED

YOUR TRAINING TEAM

Learn from experienced working professionals.

Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Finance sources and verified statement analysis

Verified financial-statement analysis and data-use checklist

02

Excel + AI: inherited workbooks and reconciliation

Automated reconciliation workbook and formula-review log

03

Accounting and monthly close

AI-assisted monthly financial close pack

04

FP&A: budget versus actual

Budget variance and business-driver analysis

05

FP&A: rolling forecast and scenarios

Rolling forecast and scenario model

06

MIS and Power BI-assisted reporting

Management MIS dashboard and reporting workflow

07

AI-assisted audit review

Audit working paper, control-test record and exception report

08

Finance automation capstone

Finance automation project with workbook, management pack and verification record

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

DETAILED COURSE FLOW

8 learning modules

Learn by Doing → Build → Check → Improve → Apply. Eight weeks of finance, accounting, FP&A, MIS and audit labs with professional review.

MODULE 01

Week 1 — Finance sources and verified statement analysis

Use AI to analyse source documents and check financial conclusions.

CORE TOPICS
  • P&L, balance sheet and cash flow
  • Ratios, margins, working capital and business drivers
  • Structured extraction from reports
  • Data classification, privacy, permissions and source records
GUIDED PRACTICE

Extract a public company statement into a workbook; reconcile totals and correct invented figures in an AI summary.

MODULE DELIVERABLE

Verified financial-statement analysis and data-use checklist

MODULE 02

Week 2 — Excel + AI: inherited workbooks and reconciliation

Understand, repair and reconcile finance spreadsheets.

CORE TOPICS
  • Power Query and cleaning
  • Formula creation and tracing
  • Duplicate and missing records
  • Matching tolerances and exception evidence
GUIDED PRACTICE

Review an inherited workbook containing broken formulas, classify transactions and reconcile bank and ledger exports.

MODULE DELIVERABLE

Automated reconciliation workbook and formula-review log

MODULE 03

Week 3 — Accounting and monthly close

Prepare a reviewed close pack using AI-supported accounting work.

CORE TOPICS
  • Invoice extraction and validation
  • Transaction categorisation and ledger review
  • Accruals and month-end checks
  • Tally, Zoho Books, QuickBooks, Xero and ERP-style exports
GUIDED PRACTICE

Match invoices to ledger entries, investigate exceptions and build a Monthly Close Assistant: input → reconcile → flag → commentary → human review.

MODULE DELIVERABLE

AI-assisted monthly financial close pack

MODULE 04

Week 4 — FP&A: budget versus actual

Explain performance using checked drivers and measures.

CORE TOPICS
  • Actual versus budget
  • Price, volume and mix drivers
  • KPI monitoring
  • Management commentary and decision support
GUIDED PRACTICE

Build a budget-versus-actual workbook, verify variance bridges and rewrite an unsupported AI explanation.

MODULE DELIVERABLE

Budget variance and business-driver analysis

MODULE 05

Week 5 — FP&A: rolling forecast and scenarios

Update a driver-based forecast with explicit assumptions.

CORE TOPICS
  • Revenue and cost forecasting
  • Rolling forecast updates
  • Scenario planning and sensitivity
  • Forecast checks and approval
GUIDED PRACTICE

Build an FP&A Assistant: actuals → budget → variance → drivers → forecast → management summary. Compare base, upside and downside cases.

MODULE DELIVERABLE

Rolling forecast and scenario model

MODULE 06

Week 6 — MIS and Power BI-assisted reporting

Turn reconciled data into a repeatable management pack.

CORE TOPICS
  • MIS preparation and refresh
  • Power BI-assisted measures and dashboards
  • Cash, cost and profitability KPIs
  • Executive narratives and source checking
GUIDED PRACTICE

Prepare a management dashboard, reconcile dashboard measures to the workbook and generate a checked executive report.

MODULE DELIVERABLE

Management MIS dashboard and reporting workflow

MODULE 07

Week 7 — AI-assisted audit review

Prepare evidence that supports auditor review.

CORE TOPICS
  • Sample analysis and anomaly identification
  • Control testing support
  • Audit, policy and contract review
  • Working papers, evidence links and exception reporting
GUIDED PRACTICE

Build an Audit Assistant: documents → extract → cross-check → flag → review notes → auditor approval. Test misleading summaries and incomplete evidence.

MODULE DELIVERABLE

Audit working paper, control-test record and exception report

MODULE 08

Week 8 — Finance automation capstone

Combine course work into a repeatable professional workflow.

CORE TOPICS
  • n8n or Make, approved apps and APIs
  • Approval gates and action logs
  • Failure handling and reconciliations
  • Portfolio presentation and independent defence
GUIDED PRACTICE

Connect a close, FP&A or audit workflow to a final management pack. Inject a missing input and wrong AI calculation; stop, repair and document human approval.

MODULE DELIVERABLE

Finance automation project with workbook, management pack and verification record

Want syllabus, fees and batch timing?

Talk to AI5 Academy counsellor and get course details based on your background.

HOW THE TRAINING WORKS

Learn it. Apply it. Get it reviewed. Improve it.

Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

Review and revision

Work is checked against a rubric, revised after feedback and prepared for project presentation.

PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation

PORTFOLIO WORK

Projects you can show

01

Verified financial-statement analysis and data-use checklist

Plan, produce, test and present a finished piece with trainer feedback.

02

Automated reconciliation workbook and formula-review log

Plan, produce, test and present a finished piece with trainer feedback.

03

AI-assisted monthly financial close pack

Plan, produce, test and present a finished piece with trainer feedback.

04

Budget variance and business-driver analysis

Plan, produce, test and present a finished piece with trainer feedback.

05

Rolling forecast and scenario model

Plan, produce, test and present a finished piece with trainer feedback.

06

Management MIS dashboard and reporting workflow

Plan, produce, test and present a finished piece with trainer feedback.

07

Audit working paper, control-test record and exception report

Plan, produce, test and present a finished piece with trainer feedback.

08

Finance automation project with workbook, management pack and verification record

Plan, produce, test and present a finished piece with trainer feedback.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

TOOLS COVERED

ExcelGoogle SheetsPower BIChatGPTClaudeGeminiMicrosoft Copilotn8n / Make
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Does AI make accounting decisions?

No. AI assists preparation and analysis; qualified people retain review and sign-off.

+

Is Excel taught?

Yes. Formulas, Power Query, pivots and reporting form a large part of practical work. A paid Microsoft license is not automatically included; confirm account requirements before enrolment.

+

How is private finance data handled?

The first module sets approved tools, data classifications, access and review rules before any exercises.

+

Do I need coding experience?

No, unless the course level says otherwise. Your advisor will check the right starting level.

+

Are classes live or recorded?

Classes are trainer-led in the classroom or live online.Recordings may support revision but do not replace class.

+

Will I receive a certificate?

Ask admissions to confirm the completion document and assessment requirements for your cohort. No external professional certification is implied.

+

Can working professionals join?

Yes. Three live sessions per week, generally 60–90 minutes each. Confirm a suitable cohort and time zone before joining.

+
KNOW THIS SUBJECT WELL?Teach it at AI5 →

Tools follow the work.

WorkflowTools and materialsAccess
AI and spreadsheetsChatGPT, Claude, Gemini, Microsoft Copilot; Excel and Google Sheets. ChatGPT for Excel or Google Sheets where enabled.Use the cohort’s approved assistant and spreadsheet environment. Paid accounts and usage limits are confirmed before enrolment.
Accounting and MISTally, Zoho Books, QuickBooks, Xero and ERP-style exports; Excel and Power BI-assisted reporting.Realistic exported or synthetic datasets support labs. Enterprise accounts and paid accounting licenses are not promised.
Repeatable workflowsChatGPT Work or equivalent approved agentic workflows, apps/connectors, n8n, Make and APIs.No-code/low-code builds with approval gates. Paid connectors, API credits and enterprise systems depend on confirmed access; equivalent dataset-based exercises support the learning goal.

Use public, synthetic or approved sanitised data. Never upload confidential client information without permission. Product references do not imply partnerships.

Assessment through professional work

Assessment centres on lab completion, workflow assignments, model or case review, research outputs, verification exercises and the final capstone. Short quizzes support practice. Submit source references, an assumptions review, calculation and formula checks, citation and freshness checks, and a human approval record with every major output.

Combine the weekly outputs into a finance automation project with a reconciled workbook, forecast or audit file and management presentation. Explain the process and demonstrate how it behaves when inputs are incomplete or AI is wrong.

These outputs provide portfolio evidence of practical learning. The course does not replace CA, CFA, MBA or regulated qualifications and does not provide investment advice or guarantee employment, accuracy, compliance or investment returns.

Learn with domain specialists who use AI in their work.

AI5’s trainer standard combines relevant professional practice, strong current AI usage and the ability to teach live practical workflows. Finance, accounting, audit, FP&A, research, modelling or AML experience must match the subject taught.

Trainer selection requires a live workflow demonstration, error checking and clear answers to domain questions. Sessions call for active builds, learner coaching and project review. Ask admissions for the assigned trainer’s background before joining.

Training for corporate teams

Finance departments, accounting, FP&A, internal audit, banks, NBFCs, fintech, investment, asset-management and compliance teams can request a program built around their responsibilities. Organisation-specific workflows use approved datasets subject to privacy and security rules. Duration, scope and pricing are agreed separately.

Discuss corporate training

Ask about this course, a demo or a batch

Finance course enquiry

By requesting details, you agree to be contacted about this enquiry. Please do not include confidential company data. Privacy policy

Choose the finance route that fits your work.

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NEXT BATCH

Choose your course.
Choose your schedule.

Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.

COURSE PLANNING

AI for Finance, Accounting & Audit Course: syllabus, projects and admission details

Perform AI-assisted close, reconciliation, FP&A, forecasting, MIS and audit work through verified finance labs.

AI for Finance, Accounting & Audit Course syllabus

Week 1 — Finance sources and verified statement analysis, Week 2 — Excel + AI: inherited workbooks and reconciliation, Week 3 — Accounting and monthly close. Read the full curriculum above for the complete learning sequence.

AI for Finance, Accounting & Audit Course projects

Verified financial-statement analysis and data-use checklist; Automated reconciliation workbook and formula-review log; AI-assisted monthly financial close pack. Check the project section for the work expected in this program.

AI for Finance, Accounting & Audit Course eligibility

Entry level: Beginner. Ask a counsellor to confirm whether your background meets the program prerequisites.

AI for Finance, Accounting & Audit Course duration

Program duration: 8 weeks. Confirm the next batch timetable before joining.

AI for Finance, Accounting & Audit Course tools

Excel, Google Sheets, Power BI, ChatGPT, Claude, Gemini. Tool access and any paid accounts should be confirmed for your cohort.

AI for Finance, Accounting & Audit Course fees and batches

Training mode: Online + Offline. Request current fees, available batches and a suitable schedule.

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