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Course Outline
Foundations and Practical Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and understanding its operational mechanics.
- Exploring language models and their inherent constraints.
- The critical role of human oversight in AI-assisted work.
Gen AI for the Business Analyst
- Assisting in the analysis of complex problems.
- Structuring and organizing information effectively.
- Drafting professional documents and reports.
Practical Prompting Techniques
- Crafting effective and precise prompts.
- Incorporating context, objectives, and constraints.
- Refining outputs through an iterative process.
Enhancing Business Analysis
- Defining and framing business problems.
- Formulating testable hypotheses.
- Conducting scenario analysis.
AI-Assisted Analytical Documentation
- Drafting business requirements.
- Describing business processes.
- Summarizing workshop notes and discussions.
Embedding AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Replacement
- Critically assessing AI-generated outputs.
- Verifying and validating content accuracy.
- Avoiding mindless automation of tasks.
AI in Stakeholder Communication
- Preparing communications and status updates.
- Simplifying complex concepts for clarity.
- Tailoring messages for diverse audiences.
Risks and Accountability
- Safeguarding data privacy and confidentiality.
- Maintaining accountability for AI-generated content.
- Navigating ethical considerations.
Developing a Custom BA Workflow with AI
- Exploring practical use-case scenarios.
- Integrating AI with existing productivity tools.
- Establishing best practices for teams.
Requirements
- Professional experience in roles associated with data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain expertise: A fundamental understanding of Key Performance Indicators (KPIs) relevant to 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