AI-Powered Business Analyst & Business Development Executive Training in Ahmedabad

Module 1: Introduction to Business Analysis & Business Development

• • Business analysis vs. business development: responsibilities and career paths.
• • How IT service companies, software products and consulting businesses operate.
• • Business models, value propositions, revenue models and customer segments.
• • Roles of business analysts, product owners, project managers and sales teams.
• • The software development life cycle (SDLC).
• • Agile, Scrum, Waterfall and hybrid delivery models.
• • Project-based vs. product-based organizations.
• • Introduction to AI-enabled business workflows.

Module 2: Business Communication & Professional Skills

• • Business email, professional writing and presentation skills.
• • Client meetings, active listening and questioning techniques.
• • Stakeholder interviews and meeting facilitation.
• • Preparing meeting agendas, minutes and action items.
• • Negotiation, conflict resolution and expectation management.
• • Critical thinking, structured problem-solving and decision-making.
• • AI-assisted writing with human review and appropriate tone.

Module 3: AI Literacy for Business Professionals

• • Generative AI fundamentals, capabilities and limitations.
• • Prompt engineering for research, analysis and documentation.
• • Using ChatGPT, Gemini, Claude and Microsoft Copilot.
• • Providing context, constraints, examples and output formats.
• • Fact-checking AI-generated research and recommendations.
• • Protecting confidential client, employee and company information.
• • Identifying hallucinations, bias and unsupported conclusions.
• • Responsible AI use, disclosure and human approval.

Module 4: Business Analysis Fundamentals & BABOK Concepts

• • Business Analysis Core Concept Model.
• • Business analysis planning and monitoring.
• • Stakeholder identification and engagement.
• • Business analysis governance and information management.
• • Business analysis life cycle and deliverables.
• • Requirements classification and prioritization.
• • Business analysis competencies and professional standards.
• • Using AI to organize analysis notes and identify information gaps.

Module 5: Requirement Gathering & Elicitation

• • Requirement discovery and stakeholder analysis.
• • Interviews, workshops, surveys and brainstorming.
• • Document analysis and observation.
• • Current-state and future-state analysis.
• • Functional and non-functional requirements.
• • Business rules, constraints, assumptions and dependencies.
• • Requirement confirmation and stakeholder sign-off.
• • AI-assisted interview questions and requirement summaries.

Module 6: BRD, FRD, SRS & Business Documentation

• • Business Requirements Document (BRD).
• • Functional Requirements Document (FRD).
• • Software Requirements Specification (SRS).
• • Scope definition, objectives and success criteria.
• • Use cases, business rules and acceptance criteria.
• • Requirements traceability matrix (RTM).
• • Change requests, version control and approvals.
• • AI-assisted document drafting, gap analysis and review.

Module 7: Process Modeling & System Design

• • Flowcharts, data flow diagrams and process maps.
• • UML use case, activity and sequence diagrams.
• • BPMN concepts and business process modeling.
• • As-is and to-be workflows.
• • Entity-relationship diagrams and data dictionaries.
• • Wireframes, low-fidelity prototypes and screen specifications.
• • Roles and permissions matrices.
• • Using Draw.io, Figma and AI-assisted diagram creation.

Module 8: Agile, Scrum & Requirements Management

• • Agile principles and iterative development.
• • Scrum roles, events and artifacts.
• • Product backlog and sprint planning.
• • Epics, features, user stories and acceptance criteria.
• • INVEST principles and story estimation.
• • Backlog refinement and prioritization techniques.
• • Jira issue tracking, Confluence documentation and collaboration.
• • AI-assisted story refinement and acceptance-criteria suggestions.

Module 9: Solution Evaluation, UAT & Quality

• • Requirement verification and validation.
• • Test scenarios, test cases and acceptance criteria.
• • User Acceptance Testing (UAT) planning and execution.
• • Defect reporting, severity and priority.
• • Requirements-to-test traceability.
• • Evaluating solutions against business objectives.
• • KPI measurement, risk assessment and change impact.
• • AI-assisted test scenario generation with manual validation.

Module 10: Business Strategy & Process Improvement

• • SWOT, PESTLE and competitive analysis.
• • Business Model Canvas and value proposition.
• • Root-cause analysis, 5 Whys and fishbone diagrams.
• • Gap analysis, cost-benefit analysis and feasibility studies.
• • Risk identification and mitigation planning.
• • Process improvement and workflow optimization.
• • Change management and solution recommendations.
• • AI-supported scenario analysis and decision preparation.

Module 11: Advanced Excel & Business Data Analysis

• • Data cleaning, formatting and validation.
• • Excel formulas, lookup functions and conditional logic.
• • PivotTables, PivotCharts and dynamic reports.
• • Power Query and data transformation.
• • Sales, revenue, lead and operational analysis.
• • KPI calculations and business performance tracking.
• • Forecasting basics and what-if analysis.
• • Copilot-assisted formula generation and analysis verification.

Module 12: SQL & Data Management for Analysts

• • Relational database fundamentals.
• • SELECT, WHERE, ORDER BY and aggregate functions.
• • JOINs, subqueries, CTEs and CASE expressions.
• • Grouping, filtering and date-based analysis.
• • Understanding tables, keys and relationships.
• • Extracting data for business reports.
• • Data quality checks and reconciliation.
• • Using AI to explain and draft SQL, then validating results.

Module 13: Power BI & Business Intelligence

• • Data import and Power Query transformations.
• • Data modeling, relationships and star schemas.
• • DAX fundamentals and calculated measures.
• • KPI cards, charts, slicers and interactive reports.
• • Sales pipeline, conversion and revenue dashboards.
• • Data storytelling and management presentations.
• • Dashboard design, refresh and sharing concepts.
• • AI-assisted insights, subject to license availability, with validation against source data.

Module 14: AI-Powered Business Analysis

• • Prompt frameworks for requirements and stakeholder analysis.
• • Summarizing documents and extracting requirements.
• • Identifying requirement conflicts, ambiguity and missing details.
• • Generating first drafts of BRDs, user stories and acceptance criteria.
• • AI-assisted market research and competitor comparison.
• • Data interpretation, insight generation and hypothesis testing.
• • Human verification, source traceability and auditability.
• • Creating reusable prompt libraries and AI-assisted workflows.

Module 15: Business Development & Lead Generation

• • Business development strategy and revenue objectives.
• • Ideal customer profile (ICP) and buyer personas.
• • Target industries, market segmentation and account research.
• • Inbound and outbound lead generation.
• • LinkedIn prospecting and professional networking.
• • Online bidding platforms and proposal opportunities.
• • Lead qualification frameworks and opportunity scoring.
• • AI-assisted prospect research with source and identity verification.

Module 16: Sales Communication, Email Marketing & Outreach

• • Cold calling, discovery calls and objection handling.
• • Business email writing and follow-up sequences.
• • Personalized outreach and value-based selling.
• • Proposal writing, quotations and service presentations.
• • Client meetings and requirement discovery.
• • Negotiation, relationship management and closing techniques.
• • AI-assisted sales copy and personalization.
• • Email deliverability, consent, privacy and anti-spam practices.

Module 17: CRM, Sales Pipeline & AI Sales Assistance

• • CRM fundamentals and contact management.
• • Lead stages, deal stages and follow-up scheduling.
• • HubSpot CRM workflows and Salesforce concepts.
• • Lead assignment, sales activity tracking and pipeline hygiene.
• • Conversion rate, lead response time and sales cycle metrics.
• • Forecasting, reporting and revenue pipeline analysis.
• • AI-assisted call summaries, email drafts and follow-up recommendations.
• • Human review of lead scores and automated sales suggestions.

Module 18: Pre-Sales, Client Proposals & Business Presentations

• • Understanding client needs and qualifying opportunities.
• • Translating business needs into solution outlines.
• • Proposal structure, scope, deliverables and assumptions.
• • Pricing fundamentals, estimation and commercial terms.
• • RFP and RFI response fundamentals.
• • Sales presentations and product demonstrations.
• • Working with technical teams to prepare solution proposals.
• • AI-assisted proposal drafting and factual review.

Module 19: Integrated Business Analysis & Development Project

• • Select a real-world business problem and define project objectives.
• • Conduct stakeholder and market research.
• • Prepare a project scope, BRD, user stories and process diagrams.
• • Create a requirements traceability matrix and acceptance criteria.
• • Build an Excel or Power BI performance dashboard.
• • Set up a CRM pipeline with lead stages and follow-up activities.
• • Use AI tools for research, documentation and outreach drafts.
• • Prepare a business proposal and measurable improvement plan.
• • Present findings to a mock client or review panel.

Module 20: Portfolio, Career Preparation & Interview Practice

• • Build a portfolio of requirements documents and process diagrams.
• • Demonstrate dashboards, CRM workflows and business recommendations.
• • Practice BA, BDE and pre-sales interview scenarios.
• • Prepare a role-specific résumé and professional LinkedIn profile.
• • Conduct mock stakeholder meetings and client discovery calls.
• • Practice case studies, estimation questions and analytical exercises.
• • Explain how AI was used and how its output was validated.
• • Prepare for workplace communication and project handover.

What is the difference between a Business Analyst and a Business Development Executive?

A Business Analyst studies business processes, gathers requirements, analyses data and helps organisations improve systems and operations. A Business Development Executive identifies potential customers, generates leads, builds client relationships, follows up on opportunities and supports revenue growth. Both roles use communication and analytical skills, but their primary responsibilities are different.

Do I need a technical or programming background to join this course?

No advanced programming knowledge is required to begin. The course can start with business fundamentals, communication, analytical thinking and AI tools, then progress to Excel, business reporting, requirement documentation, CRM systems and practical business scenarios. Basic SQL or Power BI can be introduced for learners following the Business Analyst pathway.

What career opportunities can I pursue after completing this course?

Depending on your chosen pathway, you can prepare for roles such as Junior Business Analyst, Business Analyst Trainee, Business Operations Analyst, Business Development Executive, Sales Development Representative, Lead Generation Executive or CRM Executive. Career opportunities depend on your practical skills, communication ability and employer requirements.

Will AI replace Business Analysts and Business Development Executives in the future?

AI can automate repetitive tasks such as report drafting, data summarisation, prospect research and routine follow-ups. However, organisations still need professionals who understand business needs, validate information, negotiate with customers, manage relationships and make decisions. Learning AI tools alongside analytical, communication and problem-solving skills can help you adapt to changing job requirements.

Is this course suitable for freshers who are not interested in coding?

Yes. This course can be suitable for freshers who prefer business, communication, research and problem-solving over software development. The Business Analyst pathway emphasises requirements, processes and analysis, while the Business Development pathway emphasises lead generation, customer communication and sales activities.