• Formal definition (BABOK-inspired)
• History of Business Analysis
• Collaboration boundaries & overlaps between BA vs Other Roles
• Core Competencies of IT Business Analyst
• Career Path of IT Business Analyst
• Business Process 
• As Is – To Be Analysis For a Business Process
• Gap analysis
• Gap analysis methods: SWOT, gap analysis matrix, process mapping, benchmarking,
• Business Process Re-Engineering & Re-Design
• Business Process Automation, Disinter mediation and Re-intermediation
• Definition of software development
• Software Development Life Cycle
• Software Development Methodologies – Water Fall, Iterative, Agile
• Roles explained in SDLC
• BA Role in Each SDLC Phase

• Definition of a stakeholder in IT projects
• Primary vs secondary stakeholders
• Internal vs external stakeholders
• Stakeholder Identification Techniques
• RACI-based identification
• Stakeholder Identification – Onion Diagram
• Stakeholder Identification – Wheel
• Stakeholder Classification – Power Influence Matrix
• Stakeholder register
• Stakeholder map
• Communication Channels
• Management of Conflicts (STAR method)
• Simulation: Interview with Stakeholde

• Definition of a requirement and needs
• Business, system and user requirements
• SMART analysis
• Functional and Non-Functional Requirements
• Requirement Elicitation Techniques
• Requirement Process Steps : Elicitation, Analysis, Documentation, Validation, Management
• Verification and Validation Model
• Requirements Traceability Matrix
• What is MVP
• Requirements prioritisation methods: Moscow, KANO, story mapping, Ranking, CoD, Cost-benefit analysis, value-based prioritisation
• Documentation: BRD, FRD, NFRD, SRS, RFP
• How to use Confluence

• Agile as a mindset
• Agile Manifesto: 4 values and 12 principles
• Differences between Agile and Waterfall
• Iterative, incremental delivery vs big-bang delivery
• Scrum, Kanban, SAFe Frameworks and Artifacts
• Managing Sprint Planning, Daily SCRUM, Sprint Review & Sprint Retrospectives
• Xterme Programming
• Definition of Ready (DoR) & Definition of Done (DoD)
• Management of Technical Debt
• Backlog grooming / refinement
• Agile Metrics: Velocity, cycle time, lead time, throughput, WIP, burndown, burnup charts
• Story points and Estimation on Scrum projects
• Epics
• Business and use cases
• User stories (INVEST model)
• Acceptance Criteria (GHERKIN, Checklist, and Custom for organizational culture)
• Lean Project Management (5 Whys, Kaizen, VSM)
• Fishbone diagram
• How to use JIRA
• Project Management tools (Project charter, Project Management Plan, Gantt Chart, Risk Management Plan, Change Request, Lessons Learned / Project Closure Report)
• Iron triangle

• ntroduction to Product Development (product vs. project, product life cycle)
• Ideation & Market Research (customer needs, hypothesis analysis, competitor analysis, benchmarking, value proposition)
• A/B testing, Customer Journey Maps, Buyer persona)
• Planning & Design (roadmaps, MVP/MLP/MMP, prototyping)
• Types of MVP ( Landing Page MVP, Explainer Video MVP, Concierge MVP, Wizard of Oz MVP, Single-Feature MVP, Piecemeal MVP, Prototype MVP)
• Development & Testing 
• Launch & Go-to-Market (release planning, GTM strategy, stakeholder communication)
• Product Metrics (KPIs, OKRs, North Star Metric, AARRR, analytics)
• Financial Awareness (ROI, pricing, budgeting, unit economics)
• Growth & End-of-Life (optimization, scaling, product retirement)
• Pitch Deck overview
• Design Thinking in Product Management/Human-centered design
• Figma, FigmaMake

• What is Business Process Modeling and why it matters
• Process Modeling Techniques: Flowcharts, Process Maps, Process Models, Process Descriptions
• SIPOC, Swimlane diagram overview
• Value Stream Mapping 
• Introduction to BPMN
• BPMN History (BPMI & OMG)
• BPMN Notations and Best Practices
• BPMN Elements:

• • Flow Objects

  • Connecting Objects

  • Swimlanes

  • Data Objects

  • Artifacts

• Synchronous vs. Asynchronous Processes

• bpmn.io, draw.io, lucidchart

• Camunda overview

• Introduction to UML (purpose, history, UML structure vs. behavior diagrams)
• UML Structure Diagrams Overview (Class, Object, Component, Package, Deployment diagrams)
• Use Case Modeling (actors, use cases, relationships, system boundary, use case specifications)
• Activity Diagrams (workflows, decision points, parallel activities, swimlanes)
• Sequence Diagrams (object interactions, messages, lifelines, synchronous & asynchronous communication)
• Other UML Diagrams Overview 
• UML Best Practices & Case Studies (diagram selection, modeling standards, real-world business analysis examples)

• Introduction to APIs (API fundamentals, API types, request-response model)

• Server

• REST API Principles (REST architecture, HTTP methods, status codes)

• REST vs SOAP

• API Specification Fundamentals (endpoints, URI design, headers, query and path parameters, request & response bodies)

• Data Formats & Serialization (JSON, XML, data types, schema basics)

• Authentication & Authorization (API Keys, Basic Auth, OAuth 2.0, JWT)

• API Documentation (OpenAPI/Swagger, API contracts)

• Error Handling & Validation (error responses, validation rules, response standards)

• API Design Best Practices (naming conventions, pagination, filtering, sorting)

• API Testing & API Mocking 

• API Specifications for Business Analysts (writing API requirements, mapping business rules, request/response analysis, integration scenarios)

• Real-World API Case Studies (banking, payment, authentication, and third-party integrations)

• Software Architecture Fundamentals (architecture styles, design principles)
• Modern Application Architectures (Monolithic, Microservices, Microfrontend, Single Page Architecture)
• Enterprise Architecture (TOGAF overview and architecture layers)
• Data & Integration Architecture (database design, event-driven architecture, Kafka, RabbitMQ)
• System Communication (synchronous vs. asynchronous communication, event-based development)

• Introduction to Software Testing (QA role, SDLC & STLC, QA vs. QC)
• Test Management Process (test planning, strategy, execution, reporting)
• Test Design Techniques (test scenarios, test cases, test data, traceability)
• Testing Types (Functional, Integration, System, Regression, Smoke, Sanity, UAT)
• Non-Functional Testing (Performance, Load, Stress, Security – overview)
• Defect Management (bug reporting, prioritization, severity, defect lifecycle)
• Release & Deployment Process (builds, releases, release management, code freeze, bug fix vs. hotfix)
• CI/CD Fundamentals (Continuous Integration, Continuous Delivery/Deployment, deployment pipeline)
• White box, Black box, Grey box
• QA Collaboration & Best Practices (Agile testing, Definition of Done, acceptance criteria, BA–QA collaboration)

• Data Fundamentals (databases, structured vs. unstructured data, RDBMS vs. NoSQL)
• Database Design (schemas, tables, data types, keys, relationships)
• Primary, Foreign, Composite keys
• Cardinality
• Data Modeling (ERD, DFD, normalization)
• Data Integration (ETL concepts, data mapping, source-to-target mapping)
• SQL Fundamentals (SQL categories: DDL, DML, DQL, DCL, TCL)
• Data Querying (SELECT, WHERE, ORDER BY, GROUP BY, HAVING, aggregate functions)
• Working with Multiple Tables (INNER, LEFT, RIGHT, FULL, CROSS, SELF JOINs)
• Database Management (CREATE, ALTER, DROP, TRUNCATE, Views, Transactions)
• SQL for Business Analysts (data validation, requirement verification)

• Networking Fundamentals (OSI model, TCP/IP, DNS, HTTP/HTTPS, client-server architecture)
• Cloud Computing (cloud concepts, IaaS, PaaS, SaaS, public vs. private cloud, cloud providers overview)
• Cybersecurity Fundamentals (CIA Triad, common cyber threats, authentication, authorization, encryption basics)
• Technical Concepts for BAs (Dev, QA, UAT, Production environments, logging, monitoring, caching, SDK, Firebase)

• What is AI, ML, and Deep Learning, NLP, Computer Vision
• How neural networks work?
• Key AI terminology: model, training, features, labels, tokenization
• What is LLM and how can we use them better?
• Prompt engineering techniques
• Generate summaries of requirements using AI tools (ChatGPT, Gemini, Copilot)
• Make, n8n, UiPath automation tools

Industry-based Case Study: Banking, FinTech, Insurance, Investment, Healthcare, E-commerce, Telecommunications, Logistics & Supply Chain, GovTech, Blockchain & Cryptocurrency, Education (EdTech), Real Estate (PropTech), Travel

1. Product Management & Product Ownership
2. Business Analysis Leadership
3. Quality Assurance Leadership
4. Backend Engineering
5. Mobile Engineering
6. Digital Marketing
7. Business Architecture
8. UI/UX Design
9. Camunda BPM Development