Intro to AI-Assisted Technical Business Analysis
Description
This hands-on course introduces technical business analysis in a modern, AI-assisted software delivery environment. Participants learn how to use AI as a practical analysis helper to structure stakeholder input, improve requirements, uncover gaps earlier, and prepare clearer delivery artifacts for team discussion. The course focuses on core technical business analysis practices used across software projects today, while showing how AI can support analysis work without replacing judgment, accountability, or collaboration.
🕒 Duration: 16 hours
👥 Target Audience:
- People starting in business analysis, or professionals who want to move into business analysis in software delivery environments.
Webinar Content
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Module 1: Foundations of Technical Business Analysis
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Introduction to Technical Business Analysis and AI-Assisted Analysis |
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| From Business Need to Analysis Scope |
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Module 2: Requirements and Solution Analysis
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Requirements, User Stories, and Clarification |
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| Process, Data, and System Behavior |
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| Module 3: Analysis Quality and Delivery Readiness | Review, Edge Cases, and AI-Assisted Workflow |
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Learning Objectives:
After attending this webinar participants will be able to:
- Explain the role of technical business analysis in software delivery and the main outputs it supports
- Turn business needs into clearer analysis artifacts, including requirements, user stories, and acceptance criteria
- Use AI to help structure information, improve clarity, and identify gaps, ambiguities, and open questions earlier
- Describe processes, data needs, and system behavior in a more organized and delivery-ready way
- Review and improve analysis outputs so they are clearer, more complete, and better prepared for team discussion and implementation
Prerequisite Knowledge
- No prior business analysis experience is required
- Basic familiarity with software projects or digital products is helpful
- No technical background is required, although exposure to systems or application-related work is useful
