Generative AI in the daily work of a Business Analyst Training Course
This instructor-led live training, available online or on-site, is designed for individuals at beginner, intermediate, and advanced levels who wish to learn how to leverage Large Language Models to overcome creative blocks, structure unorganized workshop data, and automate repetitive documentation tasks. In the era of digital transformation, Generative AI (GenAI) has become an essential 'copilot' for analytical work. This course focuses not merely on the technology itself, but on its practical application within the Business Analysis Life Cycle. The training methodology emphasizes a 'human-in-the-loop' approach, teaching participants how to maintain critical oversight and ensure the highest quality of AI-supported analytical deliverables.
By the end of this training, participants will be able to:
- Grasp the actual capabilities and limitations of GenAI models (such as hallucinations and context windows).
- Utilize AI as an advanced tool to support thought processes and analytical workflows.
- Learn how to generate precise requirement structures and technical documents using AI.
- Accelerate conceptual work, ranging from hypothesis generation to drafting documentation.
- Consciously evaluate the quality and substantive accuracy of AI-generated outputs.
- Acquire knowledge on the safe and ethical use of AI tools regarding corporate data.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to make arrangements.
This course is available as onsite live training in Botswana or online live training.
Course Outline
Fundamentals and Applications of Gen AI
- Introduction to Generative AI
- What is Gen AI and how it works
- Language models and their limitations
- The 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
- How to formulate effective prompts
- 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
- 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 a role 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 the organizational data lifecycle.
Audience
- Business Analysts and Systems Analysts.
- Product Owners and Product Managers.
- Business Consultants.
- Requirements Engineering Specialists.
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Generative AI in the daily work of a Business Analyst Training Course - Enquiry
Testimonials (2)
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
The trainer shared his knowledge and led great atmosphere.
Agnieszka Dubanska - Narodowy Fundusz Zdrowia
Course - Modelowanie procesów biznesowych z wykorzystaniem UML i BPMN
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