Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Gen AI Fundamentals and Practical Applications
Introduction to Generative AI
- Defining Gen AI and understanding its operational mechanisms
- Exploring language models and their inherent limitations
- The critical role of human oversight in AI-assisted work
Gen AI for the Business Analyst
- Assisting with problem analysis
- Structuring information effectively
- Drafting various documents and reports
Practical Prompting Techniques
- Formulating effective and precise prompts
- Defining context, objectives, and constraints
- Iteratively refining AI outputs
Enhancing Business Analysis
- Defining core business problems
- Formulating testable hypotheses
- Conducting scenario analysis
AI-Supported Analytical Documentation
- Articulating business requirements
- Describing business processes
- Summarizing workshop notes and key points
Integrating AI into Daily Workflows
Gen AI as a Cognitive Aid, Not a Substitute
- Critically assessing AI-generated outputs
- Verifying and validating content accuracy
- Avoiding uncritical or thoughtless automation
AI in Stakeholder Communication
- Preparing clear communications and status updates
- Simplifying complex concepts for clarity
- Tailoring messages for diverse audiences
Managing Risks and Accountability
- Safeguarding data privacy and confidentiality
- Assuming responsibility for AI-generated content
- Navigating ethical considerations
Developing a Custom BA Workflow with AI
- Applying practical use-case scenarios
- Integrating AI with existing productivity tools
- Establishing team best practices
Requirements
- Relevant professional experience in roles involving data analysis, reporting, or business process support.
- Technical proficiency: Competence in MS Excel, specifically with lookup functions, pivot tables, and basic charting.
- Domain expertise: A foundational understanding of Key Performance Indicators (KPIs) within your specific business sector and 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.
