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Duration 14 hours
Course Outline
Fundamentals and Applications of GenAI
Introduction to Generative AI
- What is GenAI and how it functions
- Language models and their inherent limitations
- The role of human oversight in AI-assisted work
GenAI for the Business Analyst
- Supporting problem analysis
- Structuring information effectively
- Drafting documents and reports
Prompting in Practice
- Formulating effective prompts
- Managing context, objectives, and constraints
- Iteratively refining outputs
Supporting Business Analysis
- Defining business problems clearly
- Formulating hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Business requirements
- Process descriptions
- Workshop notes and summaries
Integrating AI into Daily Workflow
GenAI as a Thinking Aid, Not a Replacement
- Critical assessment of AI outputs
- Content verification and validation
- Avoiding unreflective automation
AI in Stakeholder Communication
- Preparing communications and updates
- Simplifying complex content
- Tailoring messages for different audiences
Risks and Responsibility
- Data privacy and confidentiality
- Accountability for AI-generated content
- Ethical considerations
Building a Custom BA Workflow with AI
- Practical use-case scenarios
- Integration with productivity tools
- Team best practices
Requirements
- Professional experience in roles related to data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) within your specific business area and familiarity with the organisational data lifecycle.
Target Audience
- Business and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
Testimonials (2)
The trainer shared his knowledge and led great atmosphere.
Agnieszka Dubanska - Narodowy Fundusz Zdrowia
Course - Modelowanie procesów biznesowych z wykorzystaniem UML i BPMN
the lessons