Business Analysis with AI

BUSINESS ANALYSIS WITH AI

Become a job-ready Business Analyst equipped with both traditional BA expertise and AI-powered workflows. Learn requirements engineering, stakeholder engagement, process improvement, and intelligent analysis using AI tools to deliver faster insights and real business impact.

Location

Qualifications

Start date

Duration

When I enrolled into Clap Academy's Artificial Intelligence Program, I know nothing about AI. Today’s AI session was creative, practical and engaging. Students presented their work, and the hands-on training made learning fun. It was eye-opening, and I recommend it to everyone".

From competence to mastery

In 12 weeks, you become project-ready. In Over 6 months, you strengthen your mastery of strategic and certification skills.

Programme overview

The Clap Academy Business Analysis with AI Programme is a 12-week structured pathway designed to develop confident, job-ready Business Analysts equipped for modern digital project environments.

What to expect

Within 12 weeks, you develop:

• Requirements engineering expertise
• Stakeholder management competence
• Process modelling skills
• Documentation mastery (BRD, FRD, SRS, RTM)
• AI-enhanced productivity workflows

Get more done

You may remain in the programme for up to 6 months to:

• Deepen modelling and documentation mastery
• Strengthen project simulation experience
• Refine portfolio presentation
• Build advanced AI-assisted BA workflow

PROGRAMME STRUCTURE

BA Foundations + AI Workflow Setup (Problem & Stakeholders)

AI-Driven Analysis (Gap, Impact, Options & Recommendations)

Requirements Engineering with AI (Elicitation → Catalogue → BRD)

AI-Enhanced Documentation & Validation (BRD/FRD/SRS + RTM)

Wagile Delivery with AI (User Stories, Gherkin, Backlogs

Modelling with AI (BPMN, ERD, DFD + Rules

Module 1

BA Foundations + AI Workflow Setup (Problem & Stakeholders)

Week: 1

Kick off by mastering the Business Analyst’s role in the SDLC and setting up AI-powered BA workflows. You’ll learn to define business problems, map stakeholders, and produce high-quality BA artefacts faster using prompt engineering and AI copilots.

Portfolio Deliverables:

Stakeholder Map

Power/Interest Grid

SIPOC Diagram

Root Cause Analysis

Business Problem Statement

(+ Prompt Library v1: stakeholder, problem statement, SIPOC, RCA prompts)

Key Learning Outcomes

Understand BA fundamentals, SDLC context (Waterfall/Agile/Wagile), and where AI accelerates BA work

Perform stakeholder analysis using AI to generate stakeholder lists, personas, engagement strategies, and risk signals

Write stronger problem statements and business needs using AI refinement frameworks and quality check prompts

Apply root-cause analysis (5 Whys/Fishbone) with AI to expand hypotheses and validate logic

Prompt Engineering for BAs (core topic): build reusable prompts for stakeholder comms, workshop agendas, and artefact drafting

Module 2

AI-Driven Analysis (Gap, Impact, Options & Recommendations)

Week: 2

Learn how to evaluate business gaps and recommend solutions using structured BA techniques—enhanced by AI for faster analysis, clearer decision framing, and stronger recommendation writing.

Key Learning Outcomes (AI + BA):

Gap Analysis Matrix

Impact Assessment Document

Options Appraisal

Recommendation Paper

(+ AI Evaluation Prompt Pack: gap/impact/options/cost-benefit prompts)

Key Learning Outcomes (AI + BA):

Conduct gap analysis and use AI to generate structured comparisons, risks, dependencies, and success measures

Build impact assessments using AI-assisted change impact templates and stakeholder impact summaries

Perform cost/benefit analysis with AI-supported assumptions, scenario options, and sensitivity thinking

Module 3

Requirements Engineering with AI (Elicitation → Catalogue → BRD)

Week: 3

Develop modern requirements engineering skills using traditional elicitation methods, while leveraging AI to turn raw notes into structured, testable requirements and professional BRD drafts.

Portfolio Deliverables:

Elicitation Notes

Requirement Catalogue

BRD Draft

(+ Elicitation-to-BRD Prompt Templates)

Key Learning Outcomes (AI + BA):

Identify and classify requirements (business/functional/non-functional) with AI-assisted requirement tagging and quality checks

Run mock elicitation sessions and use AI to convert transcripts/notes into well-structured outputs Path Method (CPM)

Apply STOP analysis and MoSCoW prioritisation with AI to justify prioritisation decisions clearly

Build a requirement catalogue quickly using AI to standardise format, remove ambiguity, and highlight conflicts

Create BRD draft sections using AI templates while maintaining BA governance and accuracy

Module 4

AI-Enhanced Documentation & Validation (BRD/FRD/SRS + RTM)

Week: 4

Turn requirements into professional documentation and validate them end-to-end using AI for traceability, consistency checks, and mapping support—so nothing important is missed.

Portfolio Deliverables:

BRD

Use Case Diagram

AS-IS & TO-BE Maps

RTM

(+ RTM Validation Prompt Set)

Key Learning Outcomes

Differentiate BRD vs FRD vs SRS and use AI to recommend best-fit documentation based on project context

Write well-formed requirements and use AI to detect ambiguity, missing acceptance criteria, and testability issuess

Create use cases and UML basics with AI assistance for diagram explanations and scenario completeness

Build AS-IS / TO-BE maps and use AI to propose process improvements and identify bottlenecks

Create and validate RTM using AI to cross-check coverage between business needs → requirements → test cases

Module 5

Wagile Delivery with AI (User Stories, Gherkin, Backlogs)

Week: 5

Operate confidently in hybrid delivery environments. Convert BRD content into Agile-ready artefacts using AI to write stronger user stories, sharper acceptance criteria, and well-prioritised backlogs

Portfolio Deliverables:

User Stories

Acceptance Criteria (Gherkin)

Prioritised Backlog

(+ User Story & Gherkin Prompt Library)

Key Learning Outcomes

Understand Wagile and when to use it across real organisations and delivery teams

Convert BRD → user stories using AI story patterns (INVEST) and role-goal-benefit framing

Write Gherkin acceptance criteria with AI to improve clarity and reduce rework

Build and prioritise backlogs with AI-assisted scoring models (value, risk, effort, dependency)

Simulate backlog grooming sessions using AI as a “Product Owner/Stakeholder” role-player for challenge questions

Module 6

Modelling with AI (BPMN, ERD, DFD + Rules)

Week: 6

Build high-impact models that communicate clearly to stakeholders and technical teams. Use AI to clarify process steps, validate logic, and generate supporting documentation for your diagrams.

Portfolio Deliverables:

BPMN Diagram

ERD

DFD (Level 0–2)

Business Rules Pack

(+ Modelling Prompt Pack)

Key Learning Outcomes

Create BPMN 2.0 diagrams and use AI to validate sequence logic, handoffs, and exception handling

Develop swimlane diagrams and use AI to identify role gaps, bottlenecks, and accountability risks

Build DFDs (Level 0–2) and use AI to check data inputs/outputs consistency and missing flows

Create ERDs and use AI to suggest entities/relationships, validate cardinality logic, and flag normalisation issues

Document business rules with AI to convert messy statements into clear, testable rule sets

BA Foundations + AI Workflow Setup (Problem & Stakeholders)

AI-Driven Analysis (Gap, Impact, Options & Recommendations)

Requirements Engineering with AI (Elicitation → Catalogue → BRD)

AI-Enhanced Documentation & Validation (BRD/FRD/SRS + RTM)

Wagile Delivery with AI (User Stories, Gherkin, Backlogs

Modelling with AI (BPMN, ERD, DFD + Rules

Your journey to a job-ready Project Management portfolio

The Clap Academy Business Analysis with AI programme is structured to develop real delivery confidence — not just theory.

Live Project Simulation (Integrated)

Participants operate as Business Analysts within a structured digital product simulation, including:

You function as a Business Analyst — not a student

Clap Academy Career Launch Programme

Technical analysis is only part of the journey. We prepare you for roles such as:

Business Analys
Junior Business Analyst
Digital Business Analyst
Systems Analyst
Product Owner
Product/Delivery Analyst
Product Manager

Go from documentation training to enterprise-ready execution.

Expected Outcomes

You leave this programme:

Real life UK work experience confidence
A complete enterprise-level BA portfolio
Advanced AI productivity and prompt engineering skills
Digital modelling and delivery tools expertise
Structured job-readiness coaching
Confidence to operate in modern hybrid project environments
With interview preparation support
With AI-enhanced productivity skills

One-time payment

£1,450

12-Week Business Analysis with AI Core Programme
IIBA-aligned Business Analysis knowledge coverage
AI-Integrated Requirements Engineering & Documentation Technique
Hybrid (Waterfall, Agile & Wagile) Delivery Experience
Live Project Simulation (UK Work Experience Model)
Full BA Artefact Portfolio – Job Interview Ready
CV Revamp, LinkedIn Profile Optimization
Mock Interviews and feedback to boost your confidenc
On-the-job support when you secure a new role
Extended Access Window (Up to 6 Months Development Pathway)

WHAT YOU ARE ENROLLING INTO:

Two Instalment Plan

£627

12-Week Business Analysis with AI Core Programme
IIBA-aligned Business Analysis knowledge coverage
AI-Integrated Requirements Engineering & Documentation Technique
Hybrid (Waterfall, Agile & Wagile) Delivery Experience
Live Project Simulation (UK Work Experience Model)
Full BA Artefact Portfolio – Job Interview Ready
CV Revamp, LinkedIn Profile Optimization
Mock Interviews and feedback to boost your confidenc
On-the-job support when you secure a new role
Extended Access Window (Up to 6 Months Development Pathway)

WHAT YOU ARE ENROLLING INTO:

Three Instalment Plan

£425

12-Week Business Analysis with AI Core Programme
IIBA-aligned Business Analysis knowledge coverage
AI-Integrated Requirements Engineering & Documentation Technique
Hybrid (Waterfall, Agile & Wagile) Delivery Experience
Live Project Simulation (UK Work Experience Model)
Full BA Artefact Portfolio – Job Interview Ready
CV Revamp, LinkedIn Profile Optimization
Mock Interviews and feedback to boost your confidenc
On-the-job support when you secure a new role
Extended Access Window (Up to 6 Months Development Pathway)

WHAT YOU ARE ENROLLING INTO:

Free

£0

You are new to the field and want to explore the basics without a financial commitment.

Advanced

£600

You are a dedicated individual aiming for mastery in your field or preparing for certifications and specialized roles.

Premium

£600

You are a dedicated individual aiming for mastery in your field or preparing for certifications and specialized roles.

Meet your instructor

Sarah Epia

Epia specializes in breaking down topics like machine learning algorithms, natural language processing (NLP), computer vision, and neural networks into clear, easy-to-understand lessons. Her interactive teaching style combines theory with practical examples, ensuring her students gain both knowledge and confidence in using AI tools.