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Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- Definition of Gen AI and its operational mechanisms
- Language models and their inherent limitations
- The role of human oversight in AI-assisted tasks
Gen AI for the Business Analyst
- Assisting with problem analysis
- Structuring information effectively
- Drafting documents and reports
Prompting in Practice
- Techniques for formulating effective prompts
- Defining context, objectives, and constraints
- Iteratively refining AI outputs
Supporting Business Analysis
- Defining business problems
- Formulating hypotheses
- Conducting 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-generated results
- Verification and validation of content
- Avoiding uncritical automation
AI in Stakeholder Communication
- Preparing communications and status updates
- Simplifying complex content
- Tailoring messages for diverse 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 background in roles involving data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain understanding: A fundamental grasp of Key Performance Indicators (KPIs) within your business area and familiarity with the organizational data lifecycle.
Target 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
