AI for Business Analysis
This course teaches experienced Business Analysts how to use generative AI in real analysis work. Rather than focusing on tools, theory, or certification, it follows the business analysis lifecycle from project initiation through planning, modelling, elicitation, requirements, design, and validation. The course demonstrates where AI adds value, where its limitations lie, and how analysts retain control. This course is directly applicable to day-to-day BA work in a way that most AI training is not.
Description
This is a practical, hands-on course for experienced Business Analysts who want to integrate generative AI into real analysis work – responsibly and effectively.
Rather than treating AI as a separate skill or a replacement for analysis, the course positions AI as an accelerating collaborator that still requires your judgement, critical thinking, and accountability. You will work with leading AI assistants to explore how AI can support everyday BA activities such as starting projects, modelling processes and data, eliciting information, writing user stories, planning development, designing user experiences, and validating solutions. Throughout the course, you will engage in realistic exercises using a shared case study. By the end of the course, you will have a clear, experience-based understanding of where AI adds value and introduces risk, and how to maintain human oversight while benefiting from AI’s speed and flexibility.
Description
This is a practical, hands-on course for experienced Business Analysts who want to integrate generative AI into real analysis work – responsibly and effectively.
Rather than treating AI as a separate skill or a replacement for analysis, the course positions AI as an accelerating collaborator that still requires your judgement, critical thinking, and accountability. You will work with leading AI assistants to explore how AI can support everyday BA activities such as starting projects, modelling processes and data, eliciting information, writing user stories, planning development, designing user experiences, and validating solutions. Throughout the course, you will engage in realistic exercises using a shared case study. By the end of the course, you will have a clear, experience-based understanding of where AI adds value and introduces risk, and how to maintain human oversight while benefiting from AI’s speed and flexibility.
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