International AI-Powered Business Analysis Techniques Training

This International AI-Powered Business Analysis Techniques Training equips professionals with the skills to integrate AI, data analytics, UX, and Agile into modern business analysis.
You will experience full-cycle business analysis enhanced with IIBA® methodologies and AI tools — from requirement elicitation to testing and stakeholder management.

AI Tools Covered

• Platforms: ChatGPT, DeepSeek, Claude, Gemini

• Testing: Testim, Firebase

• Design: Midjourney, Veo 2, Gamma

• Video/Voice: Sora, Colossyan, HeyGen

• Collaboration: Miro AI, Figma

• User Research: Dovetail, NotebookLM

Why Join

• Learn AI-enhanced techniques aligned with IIBA® standards.

• Strengthen analytical, creative, and collaborative capabilities.

• Apply the world’s most advanced AI tools to real-life business cases.

• Become part of the global wave of AI-powered business analysts.

• Business Analysts

• Product Owners & Managers

• Project Managers

• Scrum Masters & Developers

• UX / CX Designers

• QA Engineers & Architects

• Understand how AI transforms the business analysis profession.

• Learn how to apply AI in requirement management, UX, Agile, and testing.

• Gain hands-on experience using global AI tools.

• Develop strategic thinking for next-generation business analysis.

Global Trends in Business Analysis

• Artificial Intelligence & Business Analysis

• Emerging Technologies Impacting Analysts

• Customer-Centric and Data-Driven Approaches

AI-Powered Business Analysis Planning

• Stakeholder Analysis & MoSCoW Prioritization

• Project Charter, RACI, and Time-Boxing

Requirements Elicitation Techniques (AI + BA)

• Workshops, Interviews, Surveys, Prototyping

• Prompt Engineering Methods (Zero/Few Shot, Meta-Prompting)

Stakeholder & Moderation Techniques

• Snowball, Devil’s Advocate, and Resistance Pyramid Approaches

Modeling & Documentation

• UML, ERD, DFD, Decision Trees, Mind Maps

• Wireframing and Business Rule Documentation

AI in Software Testing

• Test Automation & AI-Generated Test Data

• UAT and Risk-Based Testing

Strategic & Agile Analysis

• SWOT, Business Case, Cost-Benefit Analysis

• AI-Powered Product Backlog and User Stories