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Duration 14 hours
Course Outline
Gen AI Fundamentals and Practical Applications
Introduction to Generative AI
- Defining Gen AI and understanding its operational mechanics
- Exploring language models and their inherent limitations
- The critical role of humans in AI-assisted workflows
Gen AI for Business Analysts
- Assisting with problem analysis
- Structuring complex information
- Drafting professional documents and reports
Practical Prompting Techniques
- Formulating highly effective prompts
- Defining context, objectives, and constraints
- Iteratively refining AI outputs
Enhancing Business Analysis
- Clearly defining business problems
- Formulating and testing hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Refining business requirements
- Describing processes effectively
- Summarizing workshop notes and outcomes
Integrating AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critically assessing AI-generated outputs
- Verifying and validating content accuracy
- Preventing blind automation
AI in Stakeholder Communication
- Preparing effective communications and status updates
- Simplifying complex concepts
- Customizing messages for diverse audiences
Risks and Accountability
- Managing data privacy and confidentiality
- Taking ownership of AI-generated content
- Navigating ethical considerations
Crafting a Custom BA Workflow with AI
- Exploring 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: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain expertise: A foundational understanding of Key Performance Indicators (KPIs) within your specific 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.