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Duration 14 hours
Course Outline
GenAI Fundamentals and Practical Applications
Introduction to Generative AI
- Defining GenAI and understanding its operational mechanics.
- Exploring language models and their inherent limitations.
- The pivotal role of human oversight in AI-assisted tasks.
GenAI for Business Analysts
- Assisting with problem analysis.
- Structuring complex information.
- Drafting professional documents and reports.
Practical Prompt Engineering
- Techniques for formulating effective prompts.
- Defining context, objectives, and constraints.
- Iterative refinement of AI outputs.
Enhancing Business Analysis
- Clearly defining business problems.
- Formulating robust hypotheses.
- Conducting scenario analysis.
AI-Assisted Analytical Documentation
- Articulating business requirements.
- Describing business processes.
- Summarizing workshop notes and minutes.
Embedding AI into Daily Workflows
GenAI as a Cognitive Aid, Not a Replacement
- Critical evaluation of AI outputs.
- Content verification and validation techniques.
- Avoiding blind automation of thought processes.
AI in Stakeholder Communication
- Preparing communications and progress updates.
- Simplifying complex concepts for clarity.
- Tailoring messages for diverse audiences.
Risks and Accountability
- Data privacy and confidentiality safeguards.
- Accountability for AI-generated content.
- Ethical considerations in AI usage.
Developing a Custom BA Workflow with AI
- Applying practical use-case scenarios.
- Integrating AI with existing productivity tools.
- Establishing team best practices.
Requirements
- Professional background in roles related to data analysis, reporting, or business process support.
- Technical proficiency in MS Excel, specifically with lookup functions, pivot tables, and basic charting.
- Domain 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.