Course structure:
Objective: Build foundational BA knowledge, cognitive skills, elicitation techniques, and Agile context for non-BA learners (40% Junior focus).
Skill Focus: Soft (50%), Functional (30%), Semi-Technical (20%) with 40% Junior, 30% Mid-Level, 30% Senior.
Schedule: Saturday (3 hours), Sunday (3 hours).
Key Topics Covered :
Introduction to Technical Business Analysis & Key Concepts
Module 1: Introduction to Business Analysis and Lifecycle
- Topics: BA definition, global TBA roles (e.g., requirements gathering, process design), lifecycle (Strategy to Closure), non-BA transition challenges.
- Tools: Confluence, Miro.
- Duration: 1.5 hours (Saturday).
- Takeaway: Grasp BA fundamentals and lifecycle.
Module 2: BA Directives, Competencies, and Requirement Engineering Basics
- Topics: Directives: Project initiation, planning, scope definition, risk assessment. Competencies: Communication, stakeholder management, critical thinking, AI utilization. Requirement Engineering Basics: Introduction to requirements (what they are), stakeholder identification, basic elicitation techniques (interviews, surveys).
- Tools: Excel, Lucid chart, AI tools.
- Duration: 1.5 hours (Saturday).
- Takeaway: Understand directives, build competencies, and learn requirement fundamentals.
Module 3: Cognitive Abilities and Elicitation Techniques
- Topics: Critical thinking, problem-solving, elicitation (interviews, surveys, workshops) with AI support.
- Tools: Miro, Confluence, AI tools.
- Duration: 1.5 hours (Saturday).
- Takeaway: Develop cognitive skills and elicitation.
Module 4: General Project Life Cycle and SDLC - Agile
- Topics: Lifecycle stages, Agile (sprints, user stories), AI in planning.
- Tools: Miro, Confluence, AI tools.
- Duration: 1.5 hours (Saturday).
- Takeaway: Learn Agile and lifecycle alignment.
Module 5: Visual and Systems Thinking
- Topics: Visual thinking (personas, journey maps), systems thinking (process mapping, stakeholder analysis)
with AI.
- Tools: Lucid chart, Draw.io, AI tools.
- Duration: 3 hours (Saturday).
- Takeaway: Master visual and systems thinking.
Module 6: Design Thinking
- Topics: Empathize, define, and ideate with AI, linking to requirements.
- Tools: Miro, Confluence, AI tools.
- Duration: 3 hours (Sunday).
- Takeaway: Apply design thinking.
Module 7:Needs Analysis and Problem Definition
- Topics: User needs assessment, problem identification, gap analysis, basic application of SWOT.
- Tools: Tools: Miro, Confluence, AI tools.
- Duration: 3 hours (Saturday).
- Takeaway: Analyze needs and define problems
Module 8: Introduction to Strategic Tools
- Topics: Overview of SWOT, PESTLE, and their role in strategy analysis, with AI support.
- Tools: Lucidchart, Draw.io, AI tools.
- Duration: 3 hours (Sunday).
- Takeaway: Understand strategic tools for future application.
Module 9: Functional Requirements
- Topics: Use cases, user stories, BRD/FRD, validation in Agile.
- Tools: Jira, Word, AI tools..
- Duration: 3 hours (Saturday).
- Takeaway: Document requirements.
Module 10: System Design
- Topics: UML (use case, activity), data modeling, design validation.
- Tools: Lucid chart, Draw.io, AI tools.
- Duration: 3 hours (Sunday).
- Takeaway: Design systems.
Module 11: Data Analysis and Requirements
- Topics: Data requirements (SQL basics), API requirements (REST, JSON), elicitation.
- Tools: MySQL Workbench, Postman, AI tools, Effex.
- Duration: 3 hours (Saturday).
- Takeaway: Define data and API requirements.
Module 12: Define data and API requirements.
- Topics: Workflow requirements, visualization (Power BI basics), validation.
- Tools: Tools: n8n, Power BI, AI tools, Effex.
- Duration: 3 hours (Sunday).
- Takeaway: Define automation/visualization needs.
Module 13: Solution Refinement
- Topics: Refine requirements with AI, integration, validation planning, and change management.
- Tools: Confluence, AI tools, Effex.
- Duration: 1.5 hours (Saturday).
- Takeaway: Refine solutions.
Module 14: Capstone Project and Certification
- Topics: Power BI, Effex, n8n, Postman, MySQL, Lucid chart, Confluence, Jira, AI tools.
- Tools: Miro, Confluence, AI tools.
- Duration: 1.5 hours (Saturday).
- Takeaway: Prepare for delivery.
Testing Module for BAs
- Topics: Testing types (Unit, Integration, and UAT), test case writing, QA collaboration, UAT scripts.
- Tools: Jira, Confluence, AI tools, Effex, n8n, Selenium, JUnit.
- Duration: 3 hours (Sunday).
- Takeaway: Master Testing.
Why choose us?
- Job-Ready in Just 6 Weeks:
Our Tech BA program is laser-focused on employment outcomes. In six weekend-friendly weeks,
you’ll go from fundamentals to hands-on delivery—building real artefacts employers expect
(user stories, BRD/FRD, UML/ERDs, data/API specs, test cases) and shipping a capstone project
that proves you can do the job from day one.
- Real Projects, Real Tools, Real Confidence:
We don’t just “teach concepts”—we simulate a real product environment. You’ll work end-to-end using the modern
BA toolchain: Jira, Confluence, Miro/Lucidchart, MySQL Workbench, Postman, n8n (automation), Power BI, Selenium/JUnit,
and AI co-pilots for analysis and documentation. You’ll learn how and when to use each tool so your deliverables
are interview-ready and production-worthy.
- AI-Enhanced, Low-Code Powered:
Today’s BAs are expected to move faster with AI and automation. We embed GenAI prompts, low-code
workflows, and analytics into every module—so you can elicit, model, validate, test, and report
better and faster than a traditional BA.
- Structured for Every Career Stage:
Whether you’re breaking in or leveling up, our curriculum is intentionally tiered:
- Junior TBA (40%) – Elicitation, basic process mapping, foundations with AI assist
- Mid-Level (30%) – Use cases, UML, stakeholder collaboration, specs with automation
- Senior (30%) – Strategy (SWOT/PESTLE), solution design, validation, change management
This scaffolded approach ensures you always know what to master next and
how it maps to role expectations.
- Outcome-Driven Coaching:
From day one, we coach you to produce interview artifacts: stakeholder maps, requirements
packs, UML/ERDs, data/API specs, test cases, dashboards, and a capstone summary deck.
You’ll finish with a portfolio that showcases capability—not just course completion.
- Taught by a Seasoned Techno-Functional Leader:
Learn from a trainer with two decades of global, cross-functional experience (Data, AI/ML, FinTech, Agile/SAFe).
Expect clear standards, industry stories, and feedback that sticks—so you can speak the language of product, data,
and engineering in interviews and on the job.
- End-to-End Delivery Mindset:
We connect the dots across strategy → elicitation → requirements → design → data & API → automation →
testing → change. You’ll understand the whole system and how a Tech BA drives outcomes across squads.
- 360° Tool Integration Coverage:
Employers hire for fluency across the stack. We make sure you can switch context seamlessly—from
discovery in Miro, to specs in Confluence, to tickets in Jira, to data/API validation in
Workbench/Postman, to automated flows in n8n, to insights in Power BI, and even basic QA
collaboration with Selenium/JUnit.
- Weekend, Live, and Hands-On:
Designed for working professionals: live instructor-led sessions on weekends, lots of practice reps,
peer reviews, and immediate feedback. No passive lectures—you’ll build, present, and iterate.
- Career Support that Matters:
Get resume rewrites, LinkedIn positioning, and interview practice aligned to Tech BA roles
(Junior → Senior). We’ll help you translate your past experience into clear, employer-friendly
stories and measurable impact.
Ready to elevate your impact as a Tech Business Analyst? Join our SAFe Agilist 6.0 course and master
Agile practices that drive successful projects. Enhance your analytical and strategic skills, improve
collaboration with development teams, and deliver greater business value. Enroll now and advance your
career in today’s fast-paced tech environment!
Bestseller
