Duration - 6 Month, 8-10 hours/week
Course fee: - INR 60000
Key Highlights
Perfect for commerce graduates, BCom/MCom students, and anyone interested in learning modern accounting and bookkeeping skills
Specialized skills for working with Indian small and medium businesses across all industries
Handle 3-5 times more clients and earn a few lakhs per month working with Indian businesses
Master 21 essential AI automation skills that Indian businesses desperately need but cannot find
About SkillArbitrage
Transform Your Career with AI-Powered Finance Skills
The Finance Industry is Being Transformed by AI
- Extract financial data using natural language — pulling trial balances, AP aging, revenue by region from databases without writing SQL or code
- Spot errors in AI-generated reports using domain knowledge — because AI is fast but not always right, and the finance professional who catches the mistake is the one who keeps their job
- Build multi-agent reporting pipelines — where one AI agent pulls data, another builds the dashboard, and a third writes the commentary, all orchestrated by you
- Create CFO-grade dashboards in Power BI and Google Sheets that pass the glance test — clear, accurate, and decision-ready
- Run AI-assisted month-end closes — from inbox triage to journal entries to reconciliations, with side-by-side proof of time saved
- Build driver-based planning models with scenario analysis — base, bull, and bear cases with documented rationale and AI-generated variance commentary
- Parse contracts and extract financial terms automatically — payment terms, renewal clauses, and commitments from real-format PDF contracts
- Present and defend AI-assisted work under pressure — because the CFO will push back on your assumptions, and you need to defend your model
This course builds that competence.
Who Should Take This Course?
This course is designed for ambitious individuals who want to build genuine, employer-relevant AI-powered finance skills — the domain knowledge, AI competence, and professional judgment the work actually requires.
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Accountants & AuditorsProfessionals tired of repetitive reporting, manual data pulls, and spreadsheet-heavy workflows. You already understand the numbers — this program adds the AI tools and automation skills that let you focus on analysis and strategy instead of data entry. Learn to deploy AI agents that handle the grunt work while you validate, interpret, and advise.
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FP&A AnalystsAnalysts building forecasts in Excel who want AI to handle data pulls, variance commentary, and scenario analysis. Move beyond manual budget-vs-actuals comparisons into AI-generated insights, automated reforecasting, and presentation-ready board packs. The planning and forecasting phases are particularly well-suited to your existing expertise.
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Finance Managers & ControllersProfessionals running month-end closes manually who want to cut close time in half. Learn to orchestrate AI agents that triage your inbox, pull actuals, execute reconciliations, investigate breaks, and generate management dashboards — while you maintain control and sign-off authority. The capstone simulates a full controller workweek using AI from Day 1.
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Commerce & MBA GraduatesRecent graduates entering a job market where "knows Excel" is no longer a differentiator. This program gives you a portfolio of 3 working projects that demonstrate modern finance skills — AI-assisted dashboards, automated reporting pipelines, and CFO board packs — the kind of proof that gets you shortlisted over candidates with only classroom knowledge.
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Career SwitchersProfessionals from other fields moving into finance who want practical, tool-based skills — not just theory. The first 4 weeks build your finance foundations (chart of accounts, P2P/O2C, reporting, FP&A basics) before you touch any AI tool. By the end, you'll have domain knowledge plus AI skills — a combination most finance professionals lack.
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Freelancers & Remote WorkersProfessionals serving international clients who want to offer AI-powered finance services at premium rates. Learn to build automated reporting pipelines, AI-assisted dashboards, and month-end close SOPs that you can deliver as packaged services — the kind of offering that commands higher fees and longer engagements.
Training Methodology
Online 24/7 access
Continuous access to learning materials through an online management system, including mobile apps for Android and iOS.
Practical Exercises & Feedback
Engage in bi-weekly practical exercises with detailed written feedback to enhance learning.
Live Online Classes & Doubt Clearing
Participate in live, video-based classes to discuss exercises, ask questions, and receive personal feedback; additional live doubt clearing sessions and online forums are available.
Flexible Scheduling
Classes are scheduled for convenience outside of regular work hours, typically on Sunday afternoons or weekday evenings from 8:00-9:00 PM.
What Will You Learn in This Course
- Master finance foundations — chart of accounts, cost centers, profit centers, P2P and O2C cycles, management vs. statutory reporting, and how FP&A thinks about budgets, forecasts, and actuals.
- Set up a professional AI finance toolkit with Antigravity, Ollama/Qwen, and Claude — prompt engineering fundamentals, the five elements of a finance prompt, and prompt chaining for multi-step analysis.
- Extract financial data using natural language — pull trial balances, AP aging reports, and revenue breakdowns from databases without writing code, using AI agents that understand your intent.
- Catch AI mistakes using domain knowledge — hunt planted errors in AI-generated reports, validate outputs against known business logic, and build the critical-eye discipline that separates professionals from prompt-typers.
- Orchestrate multi-agent workflows — chain prompts, use context blocks, run parallel AI agents, and build complete management analyses using Editor and Manager views.
- Build CFO-grade dashboards in Google Sheets, Python/Plotly, and Power BI — learn dashboard principles, pass the CFO glance test, and critique real dashboards before building your own.
- Create interactive Power BI visualizations — variance analysis dashboards with waterfall charts, drill-to-detail, and AI-assisted setup and data preparation.
- Run AI-assisted month-end closes — using browser agents and SAP Fiori to automate close workflows, with side-by-side comparison of manual vs. AI-assisted time savings.
- Build driver-based planning models — revenue and expense models for multi-entity companies, scenario planning with base/bull/bear cases, and documented rationale for every assumption.
- Automate variance commentary — feed structured data to AI, iterate on tone and audience for P&L line items, and generate commentary that reads like it was written by a senior analyst.
- Parse contracts automatically — extract payment terms, renewal clauses, and financial commitments from real-format PDF contracts using AI.
- Build end-to-end reporting pipelines — where Agent 1 pulls data, Agent 2 builds the dashboard, and Agent 3 writes the commentary, documented as a repeatable SOP.
- Simulate a full controller workweek — Day 1 inbox triage, pulling actuals with AI agents, close execution with adjustments, reconciliations, and investigating planted breaks.
- Present to the CFO and defend your work — management dashboards, 3-scenario forecast updates, board packs with AI commentary, and live Q&A under pressure.
- Assemble a professional portfolio — polish 3 portfolio pieces, document your AI workflows, and build a shareable portfolio deck or site with embedded demos.
Super 20: Real-World Finance Tasks You Can Master and Perform Like a Pro
Data Extraction & Validation
- Pull a trial balance, AP aging report, or revenue breakdown from any database using natural language — no SQL, no code.
- Run 3 simultaneous data extractions with cross-validation to ensure accuracy across sources.
- Spot errors in AI-generated financial reports using domain knowledge — the 5-error bug hunt that trains your critical eye.
- Clean, validate, and reconcile datasets pulled by AI agents before they enter any report or dashboard.
- Build a CFO-grade dashboard in Google Sheets that passes the glance test — clear, accurate, and decision-ready.
- Create 3 different AI-assisted dashboards in Python/Plotly, validating each for accuracy and presentation quality.
- Build interactive Power BI dashboards with waterfall charts and drill-to-detail for variance analysis.
- Critique and improve existing dashboards using established dashboard design principles.
- Build a driver-based revenue and expense model for a multi-entity company with base/bull/bear scenarios.
- Generate variance bridges and reforecasting logic with AI-generated commentary tailored to different audiences.
- Automate variance commentary for P&L line items — iterating on tone for the CFO vs. the board vs. the operations team.
- Parse PDF contracts and extract payment terms, renewal clauses, and financial commitments automatically.
- Run an AI-assisted month-end close from inbox triage to journal entries, with measurable time savings vs. manual process.
- Execute reconciliations and investigate planted breaks using AI agents to accelerate root-cause analysis.
- Navigate SAP Fiori for AP/AR tracing, controlling, and cost allocation — getting data out of SAP for AI analysis.
- Read GL entries and explain the business event behind each posting — the domain knowledge that makes AI useful.
- Build a multi-agent reporting pipeline (data → dashboard → commentary) and document it as a repeatable SOP.
- Assemble a complete CFO board pack with management dashboard, 3-scenario forecast, and AI-generated commentary.
- Present your work to the CFO, defend your assumptions, and handle live Q&A — the mock CFO challenge that builds real confidence.
- Build a professional portfolio with 3 working projects, documented AI workflows, and embedded demos.
By mastering these skills, you'll transform from someone who does finance manually to someone who orchestrates AI agents to do finance at scale. You'll hold the combination of domain expertise and AI competence that defines the most valuable professionals in modern finance.
Syllabus
Phase 1: Finance Foundations (Weeks 1–4) 
Week 1: Chart of Accounts, Cost Centers, Profit Centers — how companies organize money
Week 2: P2P and O2C Cycles — following a rupee from purchase order to general ledger
Week 3: Management Reporting vs. Statutory Reporting — what the CFO reads vs. what the auditor reads
Week 4: Budget vs. Forecast vs. Actuals — how FP&A thinks
Phase 2: AI Fundamentals & Data Extraction (Weeks 5–9) 
Week 5: Antigravity + Ollama/Qwen — Tooling setup, prompt engineering fundamentals, five elements of a finance prompt, chaining prompts
Week 6: Antigravity — "Get me this data": pull trial balance, AP aging, revenue by region from mock database using natural language
Week 7: Antigravity — Bug hunting: 5 planted errors in AI-generated reports, spot wrong numbers using domain knowledge
Week 8: Antigravity (Editor + Manager View) — Multi-step data tasks: chaining prompts, context blocks, parallel agents, complete management analysis
Week 9: Antigravity Manager View + Qwen — Parallel data work: 3 simultaneous data extractions, cross-validation, batch prompting for sequential tasks
Phase 3: Dashboards & Visualization (Weeks 10–13) 
Week 10: Google Sheets — Dashboard principles, CFO glance test, critique 5 real dashboards
Week 11: Antigravity + Python/Plotly — AI builds 3 dashboards, you validate and spot errors
Week 12: Power BI + Antigravity — Power BI setup, AI-assisted first dashboard build
Week 13: Power BI + Antigravity — Portfolio Piece 1: Variance analysis dashboard with waterfall and drill-to-detail
Phase 4: ERP & Month-End Close (Week 14) 
Week 14: Antigravity (browser agent) + Qwen + SAP Fiori — Month-end close (AI-assisted): redo the same close with AI, side-by-side comparison of manual vs. AI-assisted time
See exactly how AI cuts month-end close time — with a side-by-side comparison that proves the ROI.
Phase 5: Planning, Forecasting & Commentary (Weeks 15–18) 
Week 15: Whiteboard + Antigravity + Google Sheets — How planning models work (dimensions, drivers, assumptions), AI builds a driver-based revenue and expense model for a 3-entity company, scenario pla
Week 16: Antigravity + Live Exercise — Connecting actuals to plan: variance bridges, reforecasting logic, AI-generated commentary + Mock CFO Challenge: present your forecast, instructor pushes back on
Week 17: Antigravity + Claude — Variance commentary automation (feed structured data, iterate on tone/audience for 5 P&L line items) + Contract parsing (extract payment terms, renewal clauses, financi
Week 18: Antigravity Manager View + Qwen — Multi-agent reporting pipeline: Agent 1 pulls data, Agent 2 builds dashboard, Agent 3 writes commentary. Portfolio Piece 2: Automated monthly reporting pipel
Phase 6: Capstone — The AI-Powered Controller (Weeks 19–22) 
Week 19: Antigravity + Mock ERP — Day 1 Controller brief: read inbox, triage tasks, pull actuals using AI agents, clean and validate dataset
Week 20: Antigravity + Mock ERP + Google Sheets — Day 1 Controller brief: triage inbox, pull actuals with AI, close execution with adjustments, reconciliations, investigate 2 planted breaks
Week 21: Antigravity + Power BI + Claude + Live Presentation — Management dashboard, forecast update with 3 scenarios, board pack with AI commentary, CFO presentation with live Q&A. Portfolio Piece 3
Week 22: All Tools — Portfolio assembly: polish 3 portfolio pieces, document AI workflows, build shareable portfolio deck or site with embedded demos
Career Potential After This Course
- AI-Enabled Finance Manager — Lead finance teams that use AI for reporting, close, and analysis at companies embracing digital transformation.
- FP&A Analyst (AI-Powered) — Build automated forecasts, scenario models, and variance commentary using AI agents — delivering insights faster than any manual analyst.
- Finance Automation Specialist — Design and implement AI-powered workflows for month-end close, reporting pipelines, and data extraction across finance functions.
- Management Reporting Analyst — Create CFO-grade dashboards and board packs using Power BI, AI-assisted data preparation, and automated commentary generation.
- Finance Business Partner — Combine domain expertise with AI competence to serve as the bridge between finance and business operations.
- Controller / Assistant Controller — Run AI-assisted month-end closes, manage reconciliations, and produce management reports in half the time.
- Finance Consultant / Freelancer — Offer AI-powered finance services — automated reporting, dashboard creation, close optimization — at premium rates to international clients.
- Finance Transformation Lead — Drive AI adoption across finance functions, documenting workflows as repeatable SOPs and training teams on AI tools.
- ERP & Finance Systems Analyst — Combine SAP/ERP knowledge with AI skills to optimize data extraction, reporting, and close processes.
- Finance Data Analyst — Apply AI tools to financial data — building dashboards, parsing contracts, generating commentary, and automating repetitive analysis.
Where You Can Work
- Big 4 and mid-tier accounting firms (Deloitte, PwC, EY, KPMG, BDO, Grant Thornton)
- Multinational corporations with shared services and finance transformation initiatives
- Banks, NBFCs, and insurance companies with finance automation programs
- IT and consulting firms building finance solutions (Accenture, Infosys, TCS, Wipro, HCL)
- SaaS and fintech companies building finance and ERP products
- Startups and mid-size companies looking for AI-savvy finance hires
- International clients as a freelance AI-powered finance professional
- Any company with a CFO who wants their finance team to do more with les
What Kind of Career Support Will I Get?
- Skill-First Approach: This program focuses on building genuine, demonstrable competence — the kind that speaks for itself in interviews and portfolio reviews.
- Portfolio & Working Projects: You graduate with 3 substantial, reviewed portfolio pieces — a variance analysis dashboard, an automated reporting pipeline, and a CFO board pack — verifiable evidence of your skills that goes far beyond a certificate.
- Interview Preparation: Dedicated preparation for finance interviews — case studies, tool demonstrations, and presenting your portfolio work — the specific format that modern finance employers use.
- Career Guidance: Our dedicated team assists you with career planning, CV crafting, and professional positioning throughout your learning journey.
- Profile Building: LinkedIn optimization, portfolio website creation, and professional branding guidance to ensure your AI finance skills are visible to employers and clients.
- Credential Value: A SkillArbitrage certificate — a credential from the platform trusted by thousands of professionals and hundreds of recruiting partners worldwide.
How Will You Clear My Doubts and Help Me If I Am Struggling?
- In our live classes, you can ask questions and have your doubts cleared in real-time with instructors and peers.
- If you need more help after getting feedback on a lab exercise or want career advice, you can schedule a private one-on-one call. Our evaluators and mentors are here to assist you and give you advice that's tailored to your needs.
- Our dedicated support team is available to help you understand finance concepts, AI tool configurations, dashboard design, reporting pipeline setup, or ERP workflows — ensuring you never feel stuck.
Money-Back Guarantee
If you take this course, follow it diligently for a month, attend all classes, and do all the exercises but still do not find value in it, or are not able to understand or follow it, or do not find it good for any reason, we will refund the entire course fee to you. It is a 100% money-back guarantee with only one condition: you must pursue it properly for a month. If you don't find it valuable after that, get your entire money back.
What Makes This Course Unique?
- Learn by Doing, Not Watching: Every single week you build something real — dashboards, pipelines, automated reports, validated datasets. No passive lectures, no slides-only sessions. By Week 22, you have 3 working portfolio pieces and documented workflows you can show any employer.
- No Coding Background Required: Unlike data science or quant courses, this program uses AI tools with natural language interfaces. If you can describe what data you need in plain English, you can use these tools. We don't teach you to code — we teach you to command AI agents that do the work.
- AI + Domain Knowledge — The Critical Combination: Most AI courses teach tools without domain context. Most finance courses ignore AI entirely. This program teaches both — and specifically trains you to catch AI mistakes using your finance expertise. Week 7's bug hunt (5 planted errors in AI reports) is the skill that makes you irreplaceable.
- Real ERP Exposure: You don't work with sanitized textbook data. You work with SAP Fiori screens, mock ERPs, and real-world data formats — the same messy reality you'll face on the job. The bonus recorded SAP modules give you deep ERP literacy that most AI courses completely skip.
- CFO Challenge Sessions: You don't just build reports — you present them, defend your assumptions, and handle pushback. The mock CFO challenge in Week 16 and the live CFO presentation in Week 21 build the professional confidence that separates report-builders from business advisors.
- Multi-Agent Pipelines — Not Just Single Prompts: By Week 18, you're orchestrating multi-agent workflows where Agent 1 pulls data, Agent 2 builds the dashboard, and Agent 3 writes commentary. This is the future of finance operations, and you'll have a documented SOP for it in your portfolio.
- Side-by-Side Proof of AI Impact: Week 14's month-end close gives you measurable, demonstrable proof: the same close done manually vs. with AI, with time comparison. This is the data point that sells AI adoption to any CFO — and you'll have it in your portfolio.
- Controller Simulation Capstone: Weeks 19–21 simulate a full controller workweek — inbox triage, data pulls, close execution, reconciliations, break investigation, dashboard creation, forecast updates, and board pack presentation. It's the closest thing to on-the-job experience you can get in a course.
- 8+ Industry Tools, One Integrated Workflow: Antigravity, Ollama/Qwen, Claude, Power BI, Python/Plotly, Google Sheets, SAP Fiori, and Whiteboard — you don't learn tools in isolation. You learn how they connect into a complete finance automation workflow.
- Career Support & Recruiter Network: Access to SkillArbitrage's network of 400+ recruiting partners, career guidance, resume building, LinkedIn optimization, and freelance opportunities — backed by a platform that has shaped thousands of careers across India and beyond.
Course Plan
Standard
₹ 60000
incl. of all charges
-1 online live class/ week
-2 practical or drafting exercises per week
-Get digital access to entire study material
-Access on LMS, Android & iOS app
-Instructor feedback on assignments
-Unlimited doubt clearing sessions.
-Instructor led course with online live classes
-Online exams (give exams as per your convenience on given time slots)
-Certificate (by courier)
-CV enhancement
-Coaching for professional networking
-Training for writing and publishing articles
-Internship & Job Support
-Interview preparation guidance
-Access to updated content online for 3 years
-Top students are recommended to law firms and companies (as applicable)

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