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Duration 14 hours
Course Outline
Core Principles and Applications of Gen AI
Foundations of Generative AI
- Defining Gen AI and understanding its operational mechanics
- Examining language models and their inherent limitations
- The significance of human involvement in AI-assisted workflows
Gen AI for the Business Analyst
- Assisting in problem analysis
- Structuring complex information
- Drafting various documents and reports
Practical Prompting Techniques
- Formulating effective prompts
- Defining context, objectives, and constraints
- Refining outputs through iterative processes
Enhancing Business Analysis
- Defining business problems
- Formulating hypotheses
- Conducting scenario analysis
AI-Driven Analytical Documentation
- Business requirements
- Process descriptions
- Workshop notes and summaries
Embedding AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critical evaluation of AI outputs
- Verifying and validating content
- Preventing unthoughtful automation
AI in Stakeholder Engagement
- Preparing communications and status updates
- Simplifying complex content
- Tailoring messages for diverse audiences
Risks and Accountability
- Data privacy and confidentiality
- Responsibility for AI-generated content
- Ethical considerations
Developing 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 knowledge: A foundational understanding of Key Performance Indicators (KPIs) specific to one’s business area, along with familiarity with organizational data lifecycles.
Target Audience
- Business and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
Testimonials (2)
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
The trainer shared his knowledge and led great atmosphere.