About this course
ARE YOU LOOKING TO EXPAND YOUR SKILLS IN USING ARTIFICIAL INTELLIGENCE (AI) TO TRANSFORM YOUR BUSINESS ANALYSIS AND BECOME A LEADER IN LEVERAGING EMERGING TECHNOLOGIES?
The future of business analysis lies at the intersection of human creativity and technological leverage. Our AI for Business Analysis course is an immersive and interactive journey to prepare experienced BA professionals for the AI-empowered future. Through real-world exercises with leading AI agents and tools, gain first-hand experience planning initiatives, analysing requirements and devising solutions. You will learn methods of “prompt engineering” for using generative AI agents to produce key BA artefacts, research new subject matters, evaluate work, and conduct interviews with subject matter experts. Whilst balancing AI’s power to create content with human judgment, you will discover AI dialogue techniques that will enable iterative and incremental analysis and development.
What you will gain
An AI for Business Analysis digital badge will be available upon successful completion of the course from Skills Development Group.
This course will contribute 14 PMI® professional development units (PDUs) towards your chosen certification (12 Ways of Working and 2 Business Acumen).
What you will learn
What you need
To get the most out of this course, it is recommended that participants have foundational knowledge of business analysis through formal training like our Business Systems Analysis or Business Analysis Fundamentals courses or have relevant experience working in a business analysis context.
This course is great for
- Business Analysts wanting to utilise AI to automate and assess analytical tasks and artefacts.
- Development team members wanting to accelerate content creation and insights whilst balancing responsible and ethical oversight.
- Anyone looking to be skilled in AI augmentation and innovation.
Topics Covered
Understanding AI’s Role in Business Analysis Using AI to Jumpstart a Project
- Applying prompt engineering techniques to plan and refine a product.
Organising AI-Created Content
- Transforming AI outputs and transforming them into coherent, valuable resources.
Crafting User Stories with AI and Stakeholder Interviews
- Training simulated interviews by taking on personas and responding to questions.
Potential Pitfalls and Social Risks
- Detecting “hallucinations” and critically evaluating and validating AI results.
Requirements Analysis and Solution Design
- Using AI to create many valuable BA artefacts such as process models and ERDs.
AI-Assisted UI Design
- Transforming AI outputs into visual representations to produce UI prototypes.
Writing Tests with AI
- Creating test scenarios and evaluating results to catch errors or gaps in coverage.
AI for Complete, Consistent, & Coherent Analysis
- Strategies for responsible creation of AI-created artifacts under human supervision.
Creative Applications of Generative AI
- Using generative AI for writing, education and presentation design.
Implementing AI-Driven Business Analysis
- Responsibly leveraging AI's potential in business analysis under human supervision.