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Course Outline
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and understanding its operational mechanics
- Exploring language models and their inherent limitations
- The pivotal role of humans in AI-assisted workflows
Gen AI for the Business Analyst
- Assistance in problem analysis
- Structuring complex information
- Drafting documents and reports
Practical Prompting
- Techniques for formulating effective prompts
- Defining context, objectives, and constraints
- Iteratively refining outputs for better results
Enhancing Business Analysis
- Clearly defining business problems
- Formulating data-driven hypotheses
- Conducting scenario analysis
AI-assisted Analytical Documentation
- Writing business requirements
- Describing business processes
- Summarizing workshop notes and outcomes
Integrating AI into Daily Workflows
Gen AI as a Thinking Aid, Not a Replacement
- Critically assessing AI outputs
- Verifying and validating content
- 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 concerns
- Accountability for AI-generated content
- Ethical considerations in practice
Building a Custom BA Workflow with AI
- Applying practical use-case scenarios
- Integrating 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 fundamental understanding of Key Performance Indicators (KPIs) within your 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.
14 Hours
Testimonials (2)
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
The trainer shared his knowledge and led great atmosphere.