IT Product Management with Agile and Gen AI

Covers PMLC and SDLC phases, emphasising the business analyst’s role. It includes Agile, Scrum, Kanban methodologies, and the concept of MVP. Key topics include environment management and BA responsibilities in project execution.

Module Lessons:

1. ➠ Project Management Life Cycle (PMLC)
2. ➠ Software Development Life Cycle (SDLC)
3. ➠ Software Development Environments
4. ➠ Minimum Viable Product (MVP)
5. ➠ Scrum Framework
6. ➠ Kanban Framework

Tools and Technologies Covered:

Covers requirement types, elicitation techniques, and documentation best practices, including BRDs and FRDs. It highlights epics, user stories, and acceptance criteria, emphasizing clarity and structure. Examples, templates, and tools are also provided.

Module Lessons:

1. ➠ What is a Requirement?
2. ➠ Requirement Elicitation
3. ➠ Requirement Documentation
4. ➠ Business Requirement Document (BRD)
5. ➠ Functional Requirement Document (FRD)
6. ➠ Epics, User Stories, and Acceptance Criteria

Tools and Technologies Covered:

This module covers process flowcharts, gap analysis, and UML diagrams such as use case and activity flow. It highlights feature value matrices for prioritization and best practices for use case documentation. Tools and examples are included for practical application.

Module Lessons:

1. ➠ Process Flowcharts and Gap Analysis
2. ➠ Feature Value Matrices for Prioritizing Business Needs
3. ➠ Introduction to UML Diagrams
4. ➠ Best Practices for Creating and Documenting Use Cases
5. ➠ Case Studies and Practical Applications

Tools and Technologies Covered:

Covers Definition of Ready (DoR), Definition of Done (DoD), test cases, and business case validation. It also discusses requirement traceability through the Requirement Traceability Matrix (RTM), User Acceptance Testing (UAT), and Out-of-the-Box (OOTB) changes.

Module Lessons:

1. ➠ Definition of Ready (DoR) and Definition of Done (DoD)
2. ➠ Test Cases and Business Cases
3. ➠ Requirement Validation and the Requirement Traceability Matrix (RTM)
4. ➠ User Acceptance Testing (UAT)
5. ➠ Out-of-the-Box (OOTB) Changes and Tailored Solutions

Tools and Technologies Covered:

This module covers tools used in business analysis, including JIRA and Confluence for project and requirement management, Visio and Draw.io for diagramming, and Figma for creating wireframes and mockups. Participants gain practical skills to enhance documentation, collaboration, and design effectiveness.

Module Lessons:

1. ➠ Overview and Features of Atlassian JIRA
2. ➠ Using Confluence for Documentation
3. ➠ Integrating JIRA and Confluence
4. ➠ Usage and Management of JIRA as a Business Analyst
5. ➠ Creating Diagrams with Visio
6. ➠ Using Draw.io for Online Diagramming
7. ➠ Best Practices for Diagramming
8. ➠ Overview of Figma
9. ➠ Creating Wireframes and Mockups with Figma
10. ➠ Collaborative Design with Figma

Tools and Technologies Covered:

This module builds an understanding of key technologies relevant to the business analyst role, including cloud computing, frontend and backend development, and UX/UI design principles. Participants explore cloud service models, server-side and client-side processing, and effective collaboration with development teams on product design and user experience.

Module Lessons:

1. ➠ Understanding Cloud Computing
2. ➠ Types of Cloud Services (IaaS, PaaS, SaaS)
3. ➠ Benefits and Challenges of Cloud Adoption
4. ➠ Basics of Frontend Development
5. ➠ Basics of Backend Development
6. ➠ Role of Business Analysts in Development Projects
7. ➠ Server-side and Client-side Processing
8. ➠ Differences and Use Cases of Server-side and Client-side
9. ➠ Key UX/UI Concepts
10. ➠ Importance of UX/UI in Product Development
11. ➠ Common UX/UI Buzzwords and Their Meanings

Tools and Technologies Covered:

This module introduces Scrum by focusing on its principles, roles, and key processes. Learners explore the Scrum framework, including the Scrum Master’s role, business justification, quality management, and risk management in Scrum projects. Emphasis is placed on Scrum meetings, artifacts, and effective project tracking using Scrum boards, ensuring strong proficiency in agile project management.

Module Lessons:

1. ➠ Introduction to Scrum
2. ➠ Scrum Framework and Structure
3. ➠ Scrum Concepts & Principles
4. ➠ Scrum Phases & Processes
5. ➠ Roles and Organization in Scrum
6. ➠ Business Justification in Scrum
7. ➠ Quality Management in Scrum
8. ➠ Change Management in Scrum
9. ➠ Risk Management in Scrum
10. ➠ Scrum Meetings
11. ➠ Scrum Artifacts
12. ➠ Creating Deliverables and Managing the Scrum Board

Tools and Technologies Covered:

This module focuses on the Agile Product Owner role, covering product definition, lifecycle, and key responsibilities of a Product Manager. Learners gain insight into product vision, strategy, road-mapping, feature prioritization, and the creation of user personas and journey maps to align products with business goals and user needs.

Module Lessons:

1. ➠ What is a Product?
2. ➠ Product Management
3. ➠ Product Life Cycle
4. ➠ Product Vision & Strategy
5. ➠ Product Road-mapping & Feature Prioritization
6. ➠ Personas & User Journey Maps

Tools and Technologies Covered:

This module equips business analysts with data-driven decision-making skills using tools such as Excel and SQL. Learners develop capabilities in data preparation, cleaning, and analysis with Excel, along with SQL techniques for data extraction. Emphasis is placed on creating insightful reports and dashboards and combining Excel and SQL for advanced analytical workflows.

Module Lessons:

1. ➠ Introduction to Data Analysis for Business Analysts
2. ➠ Data Preparation and Cleaning with Excel
3. ➠ Descriptive Analytics Using Excel
4. ➠ Advanced Data Analysis in Excel
5. ➠ Introduction to SQL for Data Extraction
6. ➠ Intermediate SQL for Data Analysis
7. ➠ Combining Excel and SQL for Comprehensive Analysis

Tools and Technologies Covered: