Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and its operational mechanics
- Language models and their inherent limitations
- The role of humans in AI-assisted workflows
Gen AI for the Business Analyst
- Assistance in problem analysis
- Structuring information
- Drafting documents and reports
Practical Prompting
- Formulating effective prompts
- Defining context, objectives, and constraints
- Iteratively refining 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 Workflows
Gen AI as a Cognitive Aid, Not a Replacement
- Critical assessment of AI outputs
- Verification and validation of content
- Avoiding unthinking automation
AI in Stakeholder Communication
- Preparing communications and updates
- Simplifying complex content
- Tailoring messages for diverse audiences
Risks and Accountability
- Data privacy and confidentiality
- Accountability for AI-generated content
- Ethical considerations
Building Custom BA Workflows with AI
- Practical use-case scenarios
- Integration with productivity tools
- Team best practices
Requirements
- Professional experience 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 expertise: A foundational understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with the organizational data lifecycle.
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.