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Course Outline
Fundamentals and Applications of Generative AI
- Introduction to Generative AI
- Understanding Gen AI and its underlying mechanisms
- Language models and their inherent limitations
- The role of human oversight in AI-assisted work
2. Generative AI for the Business Analyst
- Assistance in problem analysis
- Information structuring and organization
- Drafting documents and reports
3. Practical Prompting Techniques
- Formulating effective prompts
- Managing context, objectives, and constraints
- Iterative refinement of outputs
4. Supporting Business Analysis
- Defining business problems
- Formulating hypotheses
- Scenario analysis
5. AI-Assisted Analytical Documentation
- Business requirements documentation
- Process descriptions
- Workshop notes and summaries
Integrating AI into Daily Workflow
- Gen AI as a thinking aid, not a replacement
- Critical assessment of AI outputs
- Content verification and validation
- Avoiding thoughtless automation
2. AI in Stakeholder Communication
- Preparing communications and updates
- Simplifying complex content
- Tailoring messages for different audiences
3. Risks and Responsibility
- Data privacy and confidentiality
- Accountability for AI-generated content
- Ethical considerations
4. Building a Custom BA Workflow with AI
- Practical use-case scenarios
- Integration with productivity tools
- Team best practices
Requirements
- Professional experience in roles related to data analysis, reporting, or business process support.
- Technical skills: Proficiency in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain knowledge: Fundamental understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with organizational data lifecycles.
Target Audience
- Business and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
14 Hours
Testimonials (1)
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