Business Analysis with Gen AI

OVERVIEW

Business Analysis with Gen AI is a 32-hour online instructor-led, project-based program for learners who want to perform modern analyst work using AI-assisted methods. It covers requirements, process and system analysis, data analysis, business reporting, QA traceability, workflow productivity, and stakeholder communication.

Analysts must understand business needs, gather requirements, map processes, analyze data, create dashboards, support testing, and communicate recommendations. Learners use Generative AI to accelerate research, improve documentation, summarize stakeholder inputs, generate options, validate assumptions, and automate routine workflows.

The course is relevant to business, data, BI, systems, product, project, QA, and operations analysis. AI is used as a productivity partner while maintaining analyst judgment, accuracy, privacy, source checking, and professional quality.

AUDIENCE PROFILE

• Aspiring Business Analysts
• Data and Business Intelligence Analysts
• Systems Analysts
• Product and Project Analysts
• QA Analysts and testing professionals
• Operations and process improvement professionals
• Professionals in data, reporting, or documentation roles
• Career changers seeking AI-augmented analyst skills
• Existing analysts seeking stronger AI capabilities

PRE-REQUISITES

• Basic computer literacy
• Comfort with workplace communication
• No prior AI background required
• Prior exposure to Excel, business analysis, Agile/SDLC, reporting, or requirements writing is helpful but not mandatory

COURSE TYPE

Online Instructor-Led Training

DURATION

32 Hours

PLACEMENT & CAREER SUPPORT

• Resume Critiquing
• Resume Workshop with a Qualified Resume Coach
• LinkedIn and Portfolio Positioning
• Job Application Techniques
• Interview Preparation Workshop
• One-on-One Mock Interview
• AI-Assisted Competency Assessment Testing
• Internship / Career Placement Assistance*
*Conditions Apply

COURSE DESCRIPTION

This practical certificate course develops the skills to use AI tools for business problem analysis, requirements documentation, process analysis, data handling, dashboard preparation, testing support, and stakeholder communication.

Through hands-on exercises and live projects, learners create portfolio-ready deliverables such as BRDs, user stories, process maps, dashboards, test cases, traceability matrices, business reports, and final presentations.

COURSE CURRICULUM

Module 1 – AI Literacy and Responsible Analyst Workflows
• Generative AI and AI-Augmented Analyst Workflows
• Prompting for Research, Analysis, Documentation, and Summarization
• Responsible AI, Privacy, and Bias Awareness
• Source Checking, Validation, and Human Review

Module 2 – Business Analysis Foundations
• Business Analysis Fundamentals and Role Expectations
• Business Needs, Objectives, and Problem Framing
• Stakeholder Identification and Communication
• Scope, Assumptions, Constraints, Risks, and Dependencies

Module 3 – Requirements Elicitation and Documentation
• Requirement Gathering and Elicitation
• BRD and Functional Requirement Drafting
• Meeting Summaries, Action Items, and Decision Logs
• Requirement Review Checklists and Stakeholder Validation

Module 4 – User Stories and Acceptance Criteria
• User Stories and Acceptance Criteria
• AI-Assisted Backlog Refinement
• Requirement Quality and Completeness Review
• Professional Requirement Communication

Module 5 – Process and System Analysis
• Process Mapping and Workflow Analysis
• Business Improvement Opportunities
• Use Cases, User Journeys, and System Context
• Miro AI and Diagramming-Assisted Modeling

Module 6 – Excel Analytics and Data Quality
• Data Cleaning, Transformation, and Quality Review
• Excel-Based Analysis and Interpretation
• AI-Assisted Insight Generation
• Business Data Trends and Patterns

Module 7 – SQL Basics for Analysts
• SQL Fundamentals for Analysts
• Querying and Filtering Business Data
• Joining Related Data
• Sorting and Summarizing Results

Module 8 – Business Intelligence and Power BI
• Dashboard Planning and KPI Definition
• Power BI Report Building
• Data Visualization Basics
• Executive Summaries and Insight Presentation

Module 9 – QA Traceability and Testing Support
• Test Cases from Requirements and Acceptance Criteria
• Requirements Traceability Matrix (RTM)
• Coverage Review and Defect Summaries
• Release-Readiness Communication and QA Collaboration

Module 10 – Workflow Productivity and Live Projects
• Reusable Prompts, Templates, and Quality Checklists
• AI-Assisted Emails, Status Reports, and Presentations
• CRM / Business Process Analysis Project
• Dashboard, Reporting, and Final Portfolio Presentation

TOOLS COVERED

• ChatGPT
• Claude
• Google Gemini
• Microsoft Copilot
• Notion AI
• Miro AI
• Microsoft Excel
• SQL Basics
• Microsoft Power BI

LEARNING OUTCOMES

Upon completion, learners will be able to:
• Use Generative AI responsibly within analyst workflows
• Frame business problems, objectives, scope, assumptions, constraints, risks, and dependencies
• Document requirements using BRDs, user stories, and acceptance criteria
• Prepare meeting summaries, decision logs, and requirement review checklists
• Map processes, user journeys, use cases, and system context
• Analyze business data using Excel and SQL basics
• Define KPIs and build introductory Power BI dashboards
• Develop test cases and a Requirements Traceability Matrix
• Communicate insights and recommendations professionally
• Create portfolio-ready analyst deliverables

CAPSTONE PROJECT

Participants complete practical, portfolio-oriented projects involving:
• CRM or business process analysis
• Requirements documentation and process mapping
• Dashboard, KPI, and business reporting
• Test cases and requirements traceability
• AI-assisted recommendations and final presentation

PORTFOLIO DELIVERABLES

• Business Requirements Document (BRD)
• User Stories and Acceptance Criteria
• Process Map or Workflow Diagram
• Excel or Power BI Dashboard
• Test Cases and Requirements Traceability Matrix
• AI-Assisted Business Report
• Final Presentation Deck

INTERVIEW PREPARATION

• Interview Preparation Workshop
• Resume Workshop and Resume Critiquing
• Job Application Techniques
• LinkedIn and Portfolio Positioning
• One-on-One Mock Interview
• AI-Assisted Competency Assessment Testing

CERTIFICATE

Participants who successfully complete the course requirements and practical project work will receive a Certificate of Completion in Business Analysis with Gen AI.

CAREER OPPORTUNITIES

• AI-Augmented Analyst
• Business Analyst
• Data Analyst
• Business Intelligence Analyst
• Systems Analyst
• Product Analyst
• Project Analyst
• QA Analyst
• Operations Analyst
• Process Improvement Professional