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Duration 14 hours
Course Outline
Foundations and Applications of Gen AI
Overview of Generative AI
- Defining Gen AI and its operational mechanics
- Language models and their inherent boundaries
- The role of human oversight in AI-assisted tasks
Gen AI for the Business Analyst
- Assisting with problem analysis
- Structuring information effectively
- Drafting documents and reports
Practical Prompting Techniques
- Crafting effective prompts
- Managing context, objectives, and constraints
- Refining outputs through iterative processes
Enhancing Business Analysis
- Identifying and defining business problems
- Formulating hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Drafting business requirements
- Documenting process descriptions
- Summarizing workshop notes and outcomes
Incorporating AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critical evaluation of AI outputs
- Verifying and validating content accuracy
- Preventing indiscriminate automation
AI in Stakeholder Engagement
- Preparing communications and status updates
- Simplifying complex concepts
- Adapting messages for diverse audiences
Risks and Accountability
- Data privacy and confidentiality standards
- Accountability for AI-generated content
- Ethical considerations in AI use
Developing Custom BA Workflows with AI
- Practical use-case scenarios
- Integration with existing productivity tools
- Establishing team best practices
Requirements
- Professional background 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 expertise: 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.