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Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- What is Gen AI and how it works
- Language models and their limitations
- The role of humans in AI-assisted work
Gen AI for the Business Analyst
- Support in problem analysis
- Information structuring
- Drafting documents and reports
Prompting in practice
- How to formulate effective prompts
- Context, objectives, and constraints
- Iterative refinement of outputs
Supporting business analysis
- Defining business problems
- Formulating hypotheses
- Scenario analysis
AI-assisted analytical documentation
- Business requirements
- Process descriptions
- Workshop notes and summaries
Integrating AI into daily workflow
Gen AI as a thinking aid, not a replacement
- Critical assessment of AI outputs
- Content verification and validation
- Avoiding thoughtless 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 a role related to data analysis, reporting, or business process support.
- Technical skills: Proficiency in MS Excel (lookup functions, pivot tables, basic charting).
- Domain knowledge: Basic understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with the data lifecycle in an organization.
Audience
- Business and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
14 Hours
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