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Duration 14 hours
Course Outline
Gen AI Fundamentals and Applications
Introduction to Generative AI
- The definition of Gen AI and its operational mechanisms
- Language models and their inherent limitations
- The role of human oversight in AI-assisted workflows
Gen AI for Business Analysts
- Aiding in problem analysis
- Structuring information effectively
- Drafting documents and reports
Practical Prompting
- Techniques for formulating effective prompts
- Defining context, objectives, and constraints
- Iterative refinement of AI outputs
Enhancing Business Analysis
- Defining business problems clearly
- Formulating and testing hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Drafting business requirements
- Describing processes accurately
- Summarizing workshop notes and insights
Integrating AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critically assessing AI-generated outputs
- Verifying and validating content
- Preventing mindless automation
AI in Stakeholder Communication
- Preparing communications and progress updates
- Simplifying complex information
- Tailoring messages for diverse audiences
Risks and Accountability
- Managing data privacy and confidentiality
- Assuming accountability for AI-generated content
- Navigating ethical considerations
Developing a Custom BA Workflow with AI
- Exploring practical use-case scenarios
- Integrating with existing productivity tools
- Establishing team best practices
Requirements
- Professional background in roles related to data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain knowledge: A fundamental understanding 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.
Testimonials (2)
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
The trainer shared his knowledge and led great atmosphere.