Generative AI (GenAI) can boost your productivity by 66% (WEF). It’sa game-changer for business analysts keen to excel! This specialization gives you the skills to use GenAI across the entire business analysis lifecycle—from requirements gathering to stakeholder communication, data analysis, and process optimization. No prior AI experience is required.
During this specialization, you’ll explore the practical application of GenAI to common business analysis challenges, and learn to automate routine tasks, generate higher-quality deliverables, and provide more insightful analysis. You’ll work with AI tools like ChatGPT, Gemini, and Copilot and learn to craft effective prompts that yield reliable, high-quality outputs. Additionally, you’ll look at responsible AI implementation, addressing critical considerations such as data privacy, maintaining appropriate human oversight, and navigating organizational resistance to change.
You’ll dive into how GenAI can enhance requirements analysis, data analysis, process modeling, stakeholder communication, and strategic decision support. Plus, while identifying relevant use cases, you’ll get hands-on experience leveraging GenAI to streamline your daily workflows and increase the impact of your work.
If you’re keen to future-proof your business analytics career and build highly sought-after GenAI skills that will revolutionize how you work straight away, enroll today!
Applied Learning Project
Learners will complete a series of hands-on labs that apply business analysis skills to realistic, professional scenarios with AI assistance. These projects focus on using AI tools to support core tasks such as writing user stories and acceptance criteria, optimizing business processes with BPMN 2.0 modeling, generating data insights and visualizations, and crafting stakeholder communications. In the final portfolio project, learners bring all these skills together to create a comprehensive set of business analysis deliverables, including process diagrams using Mermaid syntax and AI-enhanced documentation. This practical experience helps learners build confidence in using AI to solve real-world business challenges.
