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Duration 14 hours
Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and its underlying mechanisms
- Exploring language models and their inherent limitations
- The critical role of humans in AI-assisted workflows
Gen AI for the Business Analyst
- Assistance in problem analysis
- Structuring and organizing information
- Drafting documents and reports
Practical Prompting
- Techniques for formulating effective prompts
- Managing context, objectives, and constraints
- Iteratively refining outputs for better results
Enhancing Business Analysis
- Defining and clarifying business problems
- Formulating and testing hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Structuring business requirements
- Writing clear process descriptions
- Summarizing workshop notes and outcomes
Integrating AI into Daily Workflows
Gen AI as a Thinking Aid, Not a Replacement
- Critically assessing AI-generated outputs
- Verifying and validating content accuracy
- Avoiding uncritical or thoughtless automation
AI in Stakeholder Communication
- Preparing communications and progress updates
- Simplifying complex concepts for clarity
- Tailoring messages to suit different audiences
Risks and Responsibility
- Safeguarding data privacy and confidentiality
- Maintaining accountability for AI-generated content
- Navigating ethical considerations
Building a Custom BA Workflow with AI
- Exploring practical use-case scenarios
- Integrating AI with existing productivity tools
- Establishing 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 knowledge: A foundational understanding of Key Performance Indicators (KPIs) within one's specific 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.