CommerceClass 12 / 12th Pass-outZero Coding Required
AI for Accounting & Business Operations
Automate invoice data extraction, reconcile transaction ledgers, audit ledger discrepancies, and generate executive financial summaries with zero code.
Program Duration
10 Days (Hands-on Labs)
Total Rigor
20 Hours
Capstone Deliverable
Automated Invoice Processing & Financial Audit Reconciliation System
Certification
Accredited Credential
Comprehensive Curriculum Breakdown
Hands-on Course Modules & Lab Schedule
Designed to build practical AI fluency through progressive laboratory exercises, domain assignments, and a real-world capstone portfolio.
Day 1
Phase 1 • AI Foundations and Prompt Engineering
Introduction to AI & Large Language Models
- Artificial Intelligence and Generative AI fundamentals
- Practical applications of AI across higher education and professional careers
- Understanding leading AI assistants (Gemini, Claude, ChatGPT)
- Evaluating strengths, context windows, limitations, and model hallucinations
Day 2
Phase 1 • AI Foundations and Prompt Engineering
Prompt Engineering Architecture
- Writing clear, specific, and unambiguous prompts
- Providing context, persona roles, boundary constraints, and structured output formats
- Iterative prompting, response critique, and multi-turn refinement
- Creating modular, reusable prompt templates for your academic discipline
Day 3
Phase 1 • AI Foundations and Prompt Engineering
Responsible AI & Academic Research Verification
- Fact-checking protocols, hallucination detection, and source verification
- Data privacy, algorithmic bias, intellectual property, and copyright ethics
- Academic integrity guidelines and responsible citation standards
- Assignment 1: Solve a subject-specific problem using AI and verify the output
Day 4
Phase 2 • Research, Writing and Documentation
AI-Assisted Academic Research
- Finding and organizing relevant literature with Perplexity AI and NotebookLM
- Research question development and hypothesis framing
- Synthesizing multi-document academic literature and extracting core findings
- Identifying research gaps and verifying primary scholarly citations
Day 5
Phase 2 • Research, Writing and Documentation
Reports and Professional Documentation
- Structured academic, technical, and executive report writing
- Generating summaries, comparative analysis matrices, and data outlines
- Drafting professional discipline-specific documents in Google Docs
- Reviewing, fact-checking, and editing AI-drafted content for precision
Day 6
Phase 2 • Research, Writing and Documentation
Presentations & Visual Storytelling
- Structuring presentation outlines and slide architectures with Gamma and Canva
- Visual hierarchy, typography principles, and persuasive storytelling
- Converting dense research reports into high-impact executive decks
- Assignment 2: Create a professional slide deck based on verified domain research
Day 7
Phase 3 • Data, Images and Creative AI
Data Analysis & Tabular Visualization
- Structuring and organizing raw domain datasets in Google Sheets
- Basic descriptive statistics (mean, median, variance, distribution) with AI
- Generating appropriate charts, trend lines, and visual analytical summaries
- Interpreting data correlations and extracting actionable domain insights
Day 8
Phase 3 • Data, Images and Creative AI
AI Image Generation & Visual Design
- Text-to-image prompt engineering in Ideogram and Canva AI
- Controlling artistic style, composition, lighting parameters, and aspect ratios
- Designing domain infographics, educational figures, and campaign visuals
- Image copyright, fair use, visual attribution, and ethical guidelines
Day 9
Phase 3 • Data, Images and Creative AI
AI Video & Audio Production
- Developing video concept outlines, narration scripts, and visual pacing
- Storyboarding and synthesizing realistic short video clips (Kling AI / CapCut)
- Generating natural voiceover narration with ElevenLabs and caption syncing
- Composing educational audio jingles or background music with Suno
- Understanding media licensing, platform restrictions, and output formats
Day 10
Phase 4 • No-Code AI Applications
AI Productivity & Multi-Modal Workflows
- Combining research, written copy, tabular data, and media into cohesive workflows
- Building reusable personal productivity templates and standard operating procedures
- Eliminating repetitive manual tasks using Zapier free-tier automations
Day 11
Phase 4 • No-Code AI Applications
Building a Domain-Specific Custom AI Assistant
- Defining a high-value real-world problem in your academic field
- Authoring system prompts, persona boundaries, and procedural instructions
- Supplying curated reference files and domain knowledge bases to ground responses
- Stress-testing the assistant across varied real-world scenarios and edge cases
Day 12
Phase 4 • No-Code AI Applications
Workflow Architecture & Quality Assurance
- Designing a complete input-to-output automated workflow
- Evaluating accuracy, formatting consistency, speed, and overall usability
- Identifying failure modes, hallucination vulnerabilities, and error handling
- Iterating and polishing the workflow based on peer critique and mentor feedback
Day 13
Phase 5 • Domain-Specific Project Development
Capstone Proposal & Problem Definition
- Selecting a discipline-relevant problem statement for the final project
- Formulating scope, objectives, target stakeholders, and intended deliverables
- Submitting formal capstone proposal for faculty mentor review and approval
Day 14
Phase 5 • Domain-Specific Project Development
Research Gathering & Workflow Blueprint
- Architecting the end-to-end operational pipeline for the deliverable
- Conducting secondary research and assembling required data sources and assets
- Structuring project repositories and setting up collaborative document workspaces
Day 15
Phase 5 • Domain-Specific Project Development
Prototype Assembly & Execution
- Developing the core deliverable prototype using the common AI toolkit
- Integrating research dossiers, analytical tables, visual assets, and assistants
- Drafting initial user guide, methodology documentation, and executive summary
Day 16
Phase 5 • Domain-Specific Project Development
Quality Verification & User Testing
- Executing rigorous fact-checking and domain verification on all project outputs
- Refining user interface, visual layout, presentation quality, and wording
- Compiling complete project documentation portfolio and citation logs
Day 17
Phase 6 • Final Submission and Assessment
Project Finalization & Review
- Performing final proofreading, error correction, and design enhancements
- Finalizing all deliverables against the official 5-part assessment criteria
- Submitting complete project bundle for formal faculty evaluation
Day 18
Phase 6 • Final Submission and Assessment
Demonstration Slide Deck & Viva Preparation
- Designing the final demonstration slide deck showcasing problem, process, and results
- Rehearsing the 5-minute live walkthrough of working deliverables
- Preparing verbal justifications for methodology, AI tool choices, and verification steps
Day 19
Phase 6 • Final Submission and Assessment
Live Demonstration & Faculty Viva Defense
- Delivering live project demonstration before academic evaluators and peers
- Defending work during viva-voce examination explaining workflow logic
- Receiving comprehensive faculty assessment score and feedback
- Verification and issuance of accredited Internship Completion Certificate
Discipline-Specific Assignments
Specialized Applied Exercises
Students in this track complete 6 subject-matter assignments tailored to their discipline, replacing generic exercises with real-world problems.
Invoice Parsing & OCR
Ledger Reconciliation Logic
Variance Analysis with AI
Operational Audit Summaries
30% Evaluation Weightage
Final Capstone Deliverable
Required Deliverable:
Automated Invoice Processing & Financial Audit Reconciliation System
Every student completes and defends this working deliverable during a live Day 19 demonstration. The project is carried through formal proposal, architecture, development, quality verification, and viva examination.
Verified against authoritative sources & factual data
Accompanied by user guide, methodology report & live demo
Evaluated by university faculty and industry AI mentors
Official Assessment Matrix
100% Evaluation Framework
Students are assessed on the quality of their work, understanding of the underlying workflow, and ability to verify AI-generated output — not merely the number of tools used.
Practical Assignments
Hands-on exercises and prompt submissions across Days 3 and 6.
Domain-Specific Project Development
Progressive prototype development, testing, and refinement during Days 13–16.
Final Project and Demonstration
Working, demonstrable deliverable evaluated on quality and domain relevance.
Viva and Explanation of Work
Verbal defense demonstrating conceptual understanding of the underlying workflow.
Responsible AI Practices & Documentation
Fact-checking, verification of citations, ethical compliance, and audit trail.
Zero Subscription Friction
100% Free-Tier Tool Stack
The curriculum is deliberately architected around usable free tiers and open-source packages. No student or college is required to purchase paid subscriptions.
Google SheetsClaude 3.5 SonnetPerplexity AIZapier
Trainer & Institution Note
Trainers verify current platform limits before each batch. Exercises are designed to run within free allowances, ensuring all students have equitable access.
Turnkey Campus AI Lab
Deploy this Curriculum at Your College or School
We provide turnkey institutional AI enablement: verified trainers deployed to your campus, complete LMS syllabus tracking, day-by-day practical lab assignments, and accredited certification.
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