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Duration 14 hours
Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- The definition of Gen AI and its operational mechanics
- Language models and their inherent limitations
- The role of human oversight in AI-assisted tasks
Gen AI for the Business Analyst
- Assistance in problem analysis
- Structuring information effectively
- Drafting documents and reports
Prompting in Practice
- Techniques for formulating effective prompts
- Defining context, objectives, and constraints
- Iterative refinement of AI outputs
Supporting Business Analysis
- Defining business problems
- Formulating hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Drafting business requirements
- Describing processes
- Summarizing workshop notes and discussions
Integrating AI into Daily Workflow
Gen AI as a Thinking Aid, Not a Replacement
- Critical evaluation of AI-generated content
- Verifying and validating information
- Avoiding uncritical automation
AI in Stakeholder Communication
- Preparing communications and status updates
- Simplifying complex concepts
- Tailoring messages for diverse audiences
Risks and Responsibility
- Data privacy and confidentiality considerations
- Accountability for AI-generated content
- Ethical implications
Building a Custom BA Workflow with AI
- Practical use-case scenarios
- Integration with productivity tools
- Team best practices
Requirements
- Professional experience in roles associated with data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, specifically with lookup functions, pivot tables, and basic charting.
- Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) relevant to your business area, along with 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.