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Course Overview
AI is rapidly changing how business analysts approach projects, insights, and communication. As artificial intelligence becomes more embedded in business processes, professionals in analytics and business analysis must learn how to use AI to improve accuracy, agility, and decision-making.
The AI for Business Analysis Course prepares you to leverage AI in business environments. You’ll explore how generative AI, prompt engineering, and data-driven approaches can streamline tasks, transform workflows, and deliver actionable outcomes. Through hands-on exercises, you’ll learn how to apply AI in business analysis, develop effective prompts, and evaluate AI-generated outputs with ethical and professional oversight.
This course equips you to work confidently in real-world settings where artificial intelligence and data analytics are driving innovation, efficiency, and strategic impact.
Who Should Attend
- Business analysts, data analysts, and analytics professionals integrating AI into their analysis workflows
- Team members supporting AI initiatives across agile, technical, or business-focused projects
- Professionals seeking to strengthen business analysis skills with artificial intelligence and data-driven approaches
- Anyone looking to transform traditional practices by applying AI for business analysis in a responsible and results-oriented way
Prerequisite: A foundational understanding of business analysis or experience working in a business context is recommended.
Course Objectives
The AI for Business Analysis Course gives business analysts practical skills to use AI effectively across tasks like documentation, requirements gathering, stakeholder engagement, and solution design. You’ll learn to apply prompt engineering, manage AI-generated content, and leverage data analysis to drive better decision-making. The training also explores the implications of using generative AI and provides best practices for aligning AI strategies with business goals.
Course Outline
Understanding AI’s Role in Business Analysis
- Explore how artificial intelligence is transforming business analysis
- Identify AI applications across data analysis, process improvement, and stakeholder engagement
Using AI to Jumpstart a Project
- Research topics, summarize business needs, and propose initiatives
- Apply prompt engineering for early-stage planning and ideation
Organizing and Evaluating AI-Generated Content
- Manage large volumes of content created by generative AI agents
- Create validation frameworks to ensure accuracy and alignment with business goals
Creating User Stories and Stakeholder Dialogue
- Simulate interviews and generate stories using AI in business contexts
- Refine outputs to match business analysis standards and real-world requirements
AI Ethics and Social Risks
- Understand the implications of AI in stakeholder communication and decision-making
- Learn how to apply responsible AI practices and avoid common risks
Requirements Analysis and Solution Evaluation
- Refine, prioritize, and analyze requirements
- Explore how AI can complement agile and iterative solution development
AI for Prototyping and UI Design
- Apply generative AI to develop interface drafts, process models, and test flows
- Effectively enhance creativity and collaboration with AI
Writing Tests and Evaluating