
This module gives you the foundational knowledge to truly understand what’s happening behind the scenes in AI. You’ll explore key concepts like machine learning, deep learning, supervised and unsupervised learning, large language models, and generative AI all in plain language.
By the end of this module, you’ll be able to:
Make sense of AI terminology used in the real world
Differentiate between types of learning models and where they apply
Understand how tools like ChatGPT actually generate responses
Build confidence to engage in AI conversations and apply what you learn in later modules
This isn't about coding it’s about comprehension that leads to smarter application.
Learn how to use the Analyze Data feature to uncover trends, summaries, and outliers with just a click. No formulas, no charts — just smart suggestions directly from Excel. A great tool for quick variance scans and pattern discovery.
Stop wasting time on repetitive data entry. Flash Fill and Smart Fill detect patterns and fill in values instantly. Ideal for cleaning, restructuring, or transforming raw finance data in seconds.
Discover how Excel’s Forecast Sheet helps you create predictive models in seconds. Whether you're projecting revenue or expenses, this tool uses built-in algorithms to spot trends and seasonality — all without complex formulas.
Transform plain text into dynamic, connected data. Excel’s Linked Data Types pull in real-time information like stock prices, currencies, and company info — adding depth to your financial models with minimal effort.
Copilot isn’t just for reporting it’s a strategic planning partner. In this section, you’ll learn how to build flexible “what-if” models for revenue, costs, or headcount using natural language. See how Copilot helps you test assumptions, simulate best/worst cases, and build forward-looking models without writing a single formula or macro.
Move beyond generic templates. This section shows how to use Copilot to generate tailored variance commentary that reflects your unique drivers, business context, and tone. Whether it’s for internal reviews or stakeholder updates, you’ll learn how to guide Copilot with prompts that produce sharp, relevant, and finance-specific narratives fast.
Tidy up inconsistent, duplicated, or poorly structured data with ease. This video shows how ChatGPT can guide you through cleaning and transforming messy datasets using smart prompts.
Learn how to use ChatGPT to generate basic Excel formulas. Perfect for beginners who want to speed up routine calculations without memorizing syntax
Discover how ChatGPT can create advanced formulas including nested IFs or complex data format like dates and more. A great support tool when you’re stuck or double-checking your logic.
Turn plain-language finance scenarios into working Excel formulas using ChatGPT. Whether it’s calculating commissions, applying multi-layer conditions, or flagging exceptions — this is where AI meets real FP&A needs.
Learn how to transform lengthy financial reports, policy documents, or business reviews into sharp, actionable summaries using ChatGPT. This video shows you how to extract key messages, risks, trends, and next steps — helping you save hours while preparing decks, commentaries, or leadership updates.
Why build a chart when you can just ask a question? Learn how to use natural language queries in Power BI to get instant answers, visuals, and insights — no formulas, just plain English. A perfect tool for quick ad hoc analysis in FP&A.
Forecasting doesn’t need to be complex. This section shows you how to use Power BI’s built-in time series forecasting to project trends, model seasonality, and guide decisions — without writing a single statistical formula.
Power BI’s Smart Narrative writes summary insights for you — automatically. Learn how to use it to generate dynamic variance commentary, trend overviews, and report narratives that update in real-time with your data.
What’s really moving your numbers? The Key Influencers visual uses AI to surface the top factors behind a metric — be it sales growth, churn, or cost variances. Learn how to interpret the insights and present them with clarity.
Not just another drill-down. The Decomposition Tree reveals root causes behind any metric from revenue dips to cost spikes. Learn how to let Power BI guide you to the exact contributor with AI-driven breakdowns.
Learn how the GPT Canvas helps you experiment with different models, compare outputs side-by-side, and better understand performance differences — all in a simple, interactive format.
This section demonstrates how to use GPT Canvas by walking through a practical FP&A issue. You'll see how to structure inputs, apply prompt iterations, and generate targeted outputs using Canvas features, making it easier to solve complex finance challenges with AI.
This section introduces the purpose and potential of Custom GPTs. Learn how they differ from standard models and how finance teams can leverage them to create AI assistants tailored to specific workflows, language styles, and business rules.
This section walks you through the process of creating a Custom GPT designed to generate clear, insightful variance commentary. You’ll define its role, upload financial phrase banks and templates, and guide it to reflect the tone, structure, and terminology appropriate for FP&A reporting.
Put your Custom GPT to work on actual P&L variance data. Learn how to evaluate its responses for accuracy, clarity, and narrative quality. You’ll also refine prompt instructions to ensure the GPT adapts well to different business contexts and commentary expectations.
earn how to break down complex inputs into logical, manageable chunks that align with the context window. This section provides practical techniques for feeding financial data, narratives, or multi-step logic into ChatGPT to improve accuracy, relevance, and continuity.
This section explains the concept of a context window, how it defines the memory span of ChatGPT, and why it directly impacts response quality. You'll learn how token limits affect performance, especially when working with large datasets or detailed prompts in finance.
Build effective prompts that guide AI with precision. This section covers structure, role setting, and logic design to help improve output quality in your finance workflows.
Discover key AI risks in finance, from data privacy to unreliable output. This section outlines safe practices to ensure accuracy, ethics, and control in AI-assisted decision-making.
Here is the free-access link to "Variance Commentary Mastery" for students of this course
https://www.udemy.com/course/variance-commentary-mastery/?couponCode=FREEVARCOM2
Are you still spending hours on reports that AI can do in minutes?
We are living through the biggest transformation in finance since Excel was invented. AI is not coming, it's already here, and it's reshaping how FP&A teams plan, analyze, forecast and report.
The finance professionals who thrive in the next decade won't be the ones who know the most formulas. They'll be the ones who know how to work alongside AI.
AI Enhanced FP&A is a hands-on, practical training built exclusively for FP&A professionals, analysts, and finance managers. No coding background needed. Just real AI tools applied to real finance work.
What you’ll learn:
How to use ChatGPT and Copilot to generate variance commentary, clean data, and summarize financial trends
How to apply Excel Copilot for automating analysis, formulas, and recurring reports
How to enhance Power BI dashboards using built-in AI visuals and Smart Narrative
How to use Agent Mode in Excel to change the game in financial modelling
Real-world examples of applying Generative AI ( GenAI) in planning, budgeting, forecasting, and reporting
Best practices, limitations, and ethical use of AI in finance
Using Agent Mode in AI to build dashboards and financial models seamlessly
Use Claude to build, debug & QA financial models and besides cleaning standardizing messy finance data.
Who this course is for:
This course is perfect for:
FP&A professionals, Financial Analysts, and Finance Managers
Curious learners who want to stay ahead of the curve in the evolving finance landscape
Finance professionals who want to use ChatGPT, Excel Copilot, and Power BI to work faster, think smarter, and deliver insights that matter
Using AI in Finance for Day-to-Day Workflows
Tools used in this course:
Microsoft Excel (Copilot features)
Power BI (AI visuals and Smart Narrative)
ChatGPT (prompting for finance use cases)
Claude
Some demonstrations use features available only on paid versions of Microsoft Copilot, ChatGPT, and Claude. If you are on the free plans, you can still learn the concepts, but your outputs and available features may differ.
No AI or coding background is needed , just a basic understanding of Excel, Power BI, and financial concepts.
This Expert-led, Complete, and Proven Formula for Financial Planning and Analysis gives you the hands-on skills to bring AI into Financial Planning and Analysis workflows with confidence.