Hands-on AI skills for business analysts – How AI Like ChatGPT can automate common BA tasks

What you'll learn
- How to integrate ChatGPT and AI assistants into the BA lifecycle (planning, elicitation, requirements, testing) to work faster and smarter.
- Techniques for writing effective prompts and applying guardrails (quality checks) to ensure useful, accurate AI-generated outputs.
- Using AI to automate deliverables: drafting interview guides, workshop agendas, personas, user stories/use cases, and clear acceptance criteria (Gherkin) with A
- AI-driven process analysis: converting text descriptions into BPMN diagrams, identifying bottlenecks and RPA opportunities, and designing improved "to-be" workf
- Data-centric analysis with AI: profiling datasets, generating SQL queries from natural language, defining KPIs/OKRs, and creating Excel/Sheets dashboards with A
- Strategic analysis tasks: using AI for market/customer research, prioritization (MoSCoW, WSJF with AI scoring), and building business cases (cost–benefit, scena
- Real-world tools: hands-on practice with ChatGPT, Microsoft Copilot, Google Bard, as well as business tools like Miro, Excel and Jira.
- Practical, BABOK-aligned methods that prepare you for IIBA certifications (ECBA/CCBA/CBAP) by reinforcing the Business Analysis Body of Knowled

Requirements
- No prior AI or programming experience required. This course is designed for beginners in AI and business analysis.
- Basic familiarity with business concepts (like requirements, user stories, or process mapping) is helpful but not mandatory.
- A computer with internet access (to use AI tools such as ChatGPT and Copilot – free accounts are sufficient).
- Enthusiasm to learn: just bring a willingness to experiment with AI tools and practice prompting – we'll guide you every step of the way.

Description
As AI reshapes the business world, savvy BAs use it to boost productivity. For example, 85% of organizations are integrating AI into their processes, making AI skills crucial for analysts. ChatGPT and similar generative models can expand your thinking and streamline documentation, from drafting requirements to synthesizing stakeholder notes. This energetic, beginner-friendly course shows youexactlyhow to harness practical AI tools (like ChatGPT, Microsoft Copilot, Google Bard, etc.) for everyday business analysis work – no coding or AI background required.

You'll start with AI fundamentals (generative vs. predictive AI, LLM capabilities/limits) and learn a structured prompt-engineering approach. Discover techniques and reusable patterns (e.g. "critique & improve," "refactor," "test-case generator") to get reliable outputs and reduce hallucinations. Through hands-on demos, see how AI canautomate common BA tasks: drafting interview guides, turning meeting notes into user stories or personas, generating stakeholder maps and communication plans, and writing clear acceptance criteria (Gherkin format) with AI. Learn to convert requirements into process diagrams (BPMN) using text prompts, detect process bottlenecks, and design improved "to-be" workflows. You will also cover testing and validation: AI-assisted test-case generation, requirements traceability matrices, and more.

We then tackle data and tools: use AI to profile CSV datasets, generate simple SQL queries from natural-language questions, and build rapid dashboards in Excel/Sheets – interpreting the results responsibly.

Whether you're a total newcomer to AI or a BA eager to work smarter, this course will give you the tools and confidence to transform your analysis work. Enroll now to future-proof your career and become an AI-powered business analyst!

What students will learn:

How to integrate ChatGPT and AI assistants into the BA lifecycle (planning, elicitation, requirements, testing) to work faster and smarter.

Techniques for writing effective prompts and applying guardrails (quality checks) to ensure useful, accurate AI-generated outputs.

Using AI to automate deliverables: drafting interview guides, workshop agendas, personas, user stories/use cases, and clear acceptance criteria (Gherkin) with AI assistance.

AI-driven process analysis: converting text descriptions into BPMN diagrams, identifying bottlenecks and RPA opportunities, and designing improved "to-be" workflows.

Data-centric analysis with AI: profiling datasets, generating SQL queries from natural language, defining KPIs/OKRs, and creating Excel/Sheets dashboards with AI help.

Strategic analysis tasks: using AI for market/customer research, prioritization (MoSCoW, WSJF with AI scoring), and building business cases (cost–benefit, scenario analysis).

Real-world tools: hands-on practice with ChatGPT, Microsoft Copilot, Google Bard, as well as business tools like Miro, Excel and Jira.

Who this course is for:

New or aspiring Business Analysts who want to add AI skills to their toolkit.

Current BAs, project managers, product owners, or consultants interested in using ChatGPT and AI to streamline their BA tasks.

IT, data or QA professionals who collaborate on BA deliverables and want to learn how AI can assist in requirement gathering and analysis.

Anyone curious about AI and business analysis who is looking for a beginner-friendly, hands-on introduction.

Requirements:

No prior AI or programming experience required.This course is designed for beginners in AI and business analysis.

Basic familiarity with business concepts (like requirements, user stories, or process mapping) is helpful but not mandatory.

A computer with internet access (to use AI tools such as ChatGPT – free accounts are sufficient but paid account adds more capabilities).

Enthusiasm to learn: just bring a willingness to experiment with AI tools and practice prompting – we'll guide you every step of the way.

Who this course is for:
- New or aspiring Business Analysts who want to add AI skills to their toolkit.
- Current BAs, project managers, product owners, or consultants interested in using ChatGPT and AI to streamline their BA tasks.
- IT, data or QA professionals who collaborate on BA deliverables and want to learn how AI can assist in requirement gathering and analysis.
- Learners preparing for IIBA (ECBA/CCBA/CBAP) certifications who want a practical, BABOK-aligned course with an AI focus.
- Anyone curious about AI and business analysis who is looking for a beginner-friendly, hands-on introduction.
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