Course Details
A 2-day hands-on workshop, 6 hours per day (12 hours in total), delivered hybrid - classroom or online via Microsoft Teams. It emphasizes practice through workshops based on real business tasks in sales, accounting/finance and HR. Learners take home a ready-made Prompt Template set, a financial model and executive dashboard template, and the AI Selection Framework for real use (Intermediate to Advanced level; intermediate Excel skills and prior generative-AI experience expected).
Day 1: The AI Landscape for Excel and Building Formulas with AI
Section 1: The AI Landscape for Microsoft Excel
- How working with Excel is changing in the AI era, and the AI usable with Excel today: Microsoft Copilot, AI Add-Ins, the Claude AI Add-In and Claude Cowork Mode
- The difference between embedded AI and file-level AI, comparing capabilities, pros, cons and cost
- Security and privacy precautions for organizational data (data privacy & compliance)
Section 2: Setup & Configuration
- Getting to know Copilot in Excel and how to invoke it (demo), and installing and configuring the Claude AI Add-In for Excel
- Installing Claude for Desktop, enabling Cowork Mode and trying it with an Excel file for the first time
- Selecting and installing AI Add-Ins from the Office Store safely and verifying the environment before the workshop
Section 3: The AI Selection Framework
- Principles for choosing an AI tool by task: data size, complexity and repetition frequency
- When to use Copilot, when to use the Claude Add-In and when to use Cowork, with cost-per-task assessment and the licenses needed
- The limits of each AI, and a demo comparing results on the same task across all four AI tools
Section 4: Intermediate Formulas with AI
- Principles of good prompts for building Excel formulas (prompt anatomy) and using AI to build VLOOKUP, INDEX-MATCH and XLOOKUP
- Building complex logic with IF, IFS, SWITCH and conditional aggregation SUMIFS, COUNTIFS, AVERAGEIFS via prompts
- Array and dynamic-array formulas (FILTER, SORT, SORTBY, UNIQUE, SEQUENCE) and having AI explain existing formulas to understand inherited files
Section 5: Advanced Formulas with AI
- Designing multi-level nested functions with AI structuring and step-by-step explanation, plus modern functions: LET, LAMBDA, TEXTSPLIT, TEXTBEFORE, TEXTAFTER, VSTACK, HSTACK
- Using regular expressions in Excel (REGEXEXTRACT, REGEXMATCH, REGEXREPLACE)
- Using AI to fix formula errors, diagnose #N/A, #VALUE!, #REF!, and optimize slow formulas
Section 6: Financial Formulas with AI
- NPV, IRR, XNPV, XIRR for investment analysis, and PMT, PPMT, IPMT for loans, installments and interest
- Depreciation functions SLN, DB, DDB and building a ready-made financial model with AI plus an assumption sheet
- Scenario analysis and sensitivity analysis with a Data Table
Section 7: Copilot vs Claude - Comparing Quality and Validating Results
- Comparing the quality of formulas each AI produces on the same task, and common problems (syntactically correct but wrong logic, wrong range references)
- How to validate systematically: test cases, cross-checks and reconciliation, plus Formula Auditing and Evaluate Formula
- Workshop: build a financial calculation sheet from a real business task with full validation at every step
Day 2: Data Cleansing, Analytics, Dashboards and Automation with AI
Section 8: Data Cleansing with AI
- Classic raw-data problems in Thai organizations and their hidden costs, and cleaning Thai-language data (names, addresses, phone numbers, ID numbers)
- Handling duplicates, missing values and inconsistent formats, and converting mixed date, number and currency formats
- AI Extract to turn free text into structured data, and data-quality checks after cleansing
Section 9: Power Query + AI Pipeline
- Power Query basics (Connect, Transform, Load) and ordering Applied Steps correctly
- Using AI to write and fix M code for complex transformations, and merging data with Append and Merge
- Building an automated cleansing pipeline that yields clean data on a single refresh
Section 10: AI Add-Ins for Text Analytics
- Sentiment analysis of reviews and customer feedback, and translating directly within a cell
- Entity extraction, text classification and summarization to extract, categorize and summarize text
- Workshop: cleanse and analyze three datasets (Sales, HR, Finance) from raw data to analysis-ready
Section 11: PivotTable & AI-Powered Insights
- Building PivotTables with AI prompts from business questions and using Copilot Analyze Data to find hidden insights
- Grouping, Calculated Fields, Slicers, Timelines and Show Values As for comparing proportion and growth
- Having AI interpret results and write a business narrative (narrative insight)
Section 12: Chart & Executive Dashboard
- Best practices for choosing chart types to fit the data, and using Copilot to build charts automatically
- Executive dashboard design principles (layout, priority, color) with Conditional Formatting and Sparklines
- Using Claude Cowork to build an interactive HTML and Chart.js dashboard from Excel data, plus a workshop building an executive dashboard from real sales data
Section 13: Excel Automation with AI (Macro, VBA and Agent Mode)
- Using AI to build and explain VBA code for repetitive tasks, and recording a macro then having AI make it more flexible and safe
- Macro security precautions in the organization
- Getting to know Excel Agent Mode, and a demo: format a document, build a chart and summarize data in a single command
Section 14: Claude Cowork Skills for Automation
- The Cowork Skills concept and working directly with local Excel files, with Financial Skills to build financial reports automatically
- Corporate Identity Skills to apply templates and branding automatically, and Invoice Processing to read invoices and summarize into Excel
- Setting file-access scope and security precautions, plus a workshop building an automated monthly report that reruns itself every month
Section 15: AI-Powered Workflow Design and Course Wrap-up
- Designing a workflow that combines multiple AI by their strengths, and connecting Excel with Claude Cowork and Power Query into a single pipeline
- Prompt engineering for Excel use cases, building a personal prompt library, and setting AI standards at the team and organization level
- Ways to measure results (time saved, error reduction), a course summary, further learning paths and Q&A