Generative AI in the daily work of a Business Analyst Training Course
This instructor-led, live training (available online or onsite) is designed for beginners, intermediate practitioners, and advanced professionals who wish to master Large Language Models to overcome creative barriers, organize unstructured workshop data, and automate routine documentation duties. In today's era of digital transformation, Generative AI (GenAI) has emerged as a vital "copilot" for analytical tasks. This course emphasizes not only the technology itself but also its practical application within the Business Analysis Life Cycle. The methodology focuses on the "human-in-the-loop" approach, teaching participants how to maintain critical oversight and ensure the highest quality of AI-assisted analytical outputs.
Upon completion of this training, participants will be able to:
- Comprehend the actual capabilities and constraints of GenAI models (such as hallucinations and context window limitations).
- Utilize AI as a sophisticated tool to enhance thought processes and analytical reasoning.
- Master techniques for creating precise requirement structures and technical documentation using AI.
- Speed up conceptual work, ranging from hypothesis generation to the drafting of documents.
- Critically assess the quality and accuracy of AI-generated content.
- Acquire knowledge regarding the secure and ethical handling of corporate data when using AI tools.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and hands-on practice.
- Practical implementation within a live laboratory environment.
Customization Options
- To arrange customized training for this course, please contact us directly.
This course is available as onsite live training in Serbia or online live training.
Course Outline
Fundamentals and Applications of Gen AI
- Introduction to Generative AI
- What is Gen AI and its underlying mechanics
- Language models and their inherent limitations
- The essential role of humans in AI-assisted work
2. Gen AI for the Business Analyst
- Support in problem analysis
- Information structuring
- Drafting documents and reports
3. Prompting in Practice
- Strategies for formulating effective prompts
- Defining context, objectives, and constraints
- Iterative refinement of outputs
4. Supporting Business Analysis
- Defining business problems
- Formulating hypotheses
- Conducting scenario analysis
5. AI-Assisted Analytical Documentation
- Business requirements
- Process descriptions
- Workshop notes and summaries
Integrating AI into Daily Workflow
- Gen AI as a Cognitive 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 specific business area, along with familiarity with organizational data lifecycles.
Audience
- Business and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
Open Training Courses require 5+ participants.
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Testimonials (2)
Friendly, plenty of breaks to think about what we have learnt and lovely guy.
Leanne - Welsh Revenue Authority
Course - Agile Business Analysis
comparing theory to practical life
Olaf - Bank Millennium S.A.
Course - Business Analysis, BABOK V3.0 and IIBA Certification Preparation
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