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Duration 14 hours
Course Outline
Core Concepts and Practical Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and understanding its operational mechanisms
- Exploring language models and their inherent limitations
- The critical role of human oversight in AI-assisted workflows
Gen AI as a Tool for the Business Analyst
- Assisting in the analysis of complex problems
- Structuring and organizing information effectively
- Assisting in the drafting of documents and reports
Practical Prompt Engineering
- Techniques for crafting effective prompts
- Defining context, objectives, and constraints
- Refining outputs through iterative processes
Enhancing Business Analysis
- Identifying and defining business problems
- Formulating data-driven hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Writing business requirements
- Describing business processes
- Organizing workshop notes and summaries
Integrating AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critically assessing AI-generated outputs
- Verifying and validating content accuracy
- Preventing unthoughtful automation
AI in Stakeholder Communication
- Preparing communications and status updates
- Simplifying complex information
- Tailoring messages for diverse audiences
Risk Management and Responsibility
- Safeguarding data privacy and confidentiality
- Maintaining accountability for AI-generated content
- Addressing ethical considerations
Developing a Customized BA Workflow with AI
- Applying practical use-case scenarios
- Integrating with existing productivity tools
- Implementing 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 expertise: A fundamental understanding of Key Performance Indicators (KPIs) within your specific business sector and familiarity with the organizational data lifecycle.
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.
