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Course Outline
Fundamentals and Applications of Gen AI
- Introduction to Generative AI
- Understanding what Gen AI is and its operational mechanics
- Language models and their inherent limitations
- The critical role of human oversight in AI-assisted workflows
2. Leveraging Gen AI for Business Analysts
- Assisting in problem analysis
- Structuring information
- Drafting documents and reports
3. Practical Prompt Engineering
- Techniques for formulating effective prompts
- Managing context, objectives, and constraints
- Iteratively refining outputs
4. Supporting Business Analysis Activities
- Defining business problems
- Formulating hypotheses
- Conducting scenario analysis
5. AI-Assisted Analytical Documentation
- Documenting business requirements
- Creating process descriptions
- Compiling workshop notes and summaries
Integrating AI into Daily Workflows
- Utilizing Gen AI as a thinking aid, not a replacement
- Critically evaluating AI outputs
- Verifying and validating content
- Avoiding indiscriminate automation
2. Enhancing Stakeholder Communication with AI
- Preparing communications and status updates
- Simplifying complex information
- Tailoring messages for diverse audiences
3. Risks and Responsibilities
- Data privacy and confidentiality considerations
- Accountability for AI-generated content
- Ethical implications of AI usage
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: Basic 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 (2)
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
The trainer shared his knowledge and led great atmosphere.