Intro to AI-Assisted Technical Business Analysis
Certificate of Completion by Code.Hub
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.
By the end of this module, 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
Introduction to Technical Business Analysis and AI-Assisted Analysis
Role of technical business analysis in software delivery
Main responsibilities and common analysis outputs
How AI supports analysis work in a practical and controlled way
From Business Need to Analysis Scope
Turning a business request into a clearer problem and scope definition
Identifying goals, stakeholders, constraints, and missing information
Using AI to organize stakeholder input and support early analysis
Requirements, User Stories, and Clarification
Writing clear requirements, user stories, and acceptance criteria
Recognizing ambiguity, assumptions, and unanswered questions
Using AI to improve structure, clarity, and analysis refinement
Process, Data, and System Behavior
Describing workflows, rules, data needs, and expected system behavior
Identifying key interactions, validations, and business logicUsing AI to structure process and system-related analysis
Review, Edge Cases, and AI-Assisted Workflow
Looking beyond the happy path with edge cases and key non-functional considerations
Reviewing analysis artifacts for clarity, completeness, and usability
Applying repeatable AI-assisted practices to support delivery readiness
People starting in business analysis, or professionals who want to move into business analysis in software delivery environments.
- 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
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
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