Course Overview
Business analysts play a critical role in bridging business needs, data, and technology. As organisations generate increasing volumes of data and face faster decision cycles, Artificial Intelligence (AI) is becoming an essential capability for modern business analysis.
Advances in Machine Learning, Large Language Models (LLMs), and Generative AI enable business analysts to analyse information more efficiently, uncover patterns, generate insights, document requirements, and communicate recommendations with greater clarity and speed. AI tools can support analysts across the entire analysis lifecycle—from problem definition and stakeholder engagement to data analysis, reporting, and strategic decision support.
This course provides a practical, business-focused introduction to AI for business analysts. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on real business analysis use cases, responsible AI usage, and improving the quality and impact of analytical work, without requiring programming skills
What are the skills covered
By the end of this course, participants will be able to:
- Understand core AI concepts and terminology relevant to business analysis
- Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for business analysis workflows
- Apply AI tools to requirements analysis, data interpretation, and reporting
- Use AI responsibly within ethical, legal, and organisational constraints
- Identify high-impact AI use cases that enhance business analysis outcomes
- There are no rerStrengthen their role as a strategic partner in AI-enabled organisations
Who should attend this course
This course is designed for working professionals involved in business analysis and decision support, including:
- Business analysts and senior business analysts
- Product analysts and product owners
- Process and operations analysts
- PMO and strategy teams
- Consultants and transformation specialists
- Data and analytics translators
- Managers and leaders responsible for business insights
No prior AI or technical background is required.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
