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Duration 14 hours
Course Outline
Foundations and Applications of Gen AI
Introduction to Generative AI
- Defining Gen AI and its underlying mechanics
- Examining language models and their inherent limitations
- The role of human oversight in AI-assisted workflows
Gen AI for the Business Analyst
- Assisting with problem analysis
- Organizing and structuring information
- Drafting professional documents and reports
Practical Prompting Techniques
- Crafting effective and precise prompts
- Setting context, objectives, and constraints
- Refining outputs through iterative processes
Enhancing Business Analysis
- Clarifying and defining business problems
- Developing and formulating hypotheses
- Conducting scenario analysis
AI-Assisted Analytical Documentation
- Drafting business requirements
- Describing business processes
- Compiling workshop notes and summaries
Embedding AI into Daily Workflows
Gen AI as a Cognitive Aid
- Critical evaluation of AI-generated outputs
- Verifying and validating content accuracy
- Preventing uncritical or thoughtless automation
AI in Stakeholder Communication
- Preparing updates and communication materials
- Simplifying complex topics for clarity
- Adapting messages for diverse audiences
Risk Management and Responsibility
- Ensuring data privacy and confidentiality
- Maintaining accountability for AI-generated content
- Navigating ethical considerations
Developing Custom BA Workflows with AI
- Exploring practical use-case scenarios
- Integrating AI with existing productivity tools
- Establishing best practices for teams
Requirements
- Relevant professional experience in data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
- Domain insight: A foundational grasp of Key Performance Indicators (KPIs) within your business sector and familiarity with organizational data lifecycles.
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.