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 learners, and advanced professionals who want to master leveraging Large Language Models to overcome creative blocks, organize chaotic workshop data, and automate repetitive documentation tasks. In today's era of digital transformation, Generative AI (GenAI) has become an essential "copilot" for analytical work. This course focuses not merely on the technology 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 to ensure the highest quality of AI-supported analytical deliverables.
By the end of this training, participants will be able to:
- Understand the true capabilities and limitations of GenAI models (e.g., hallucinations, context windows).
- Utilize AI as an advanced tool to support thought processes and analytical reasoning.
- Learn how to create precise requirement structures and technical documents using AI.
- Accelerate conceptual work, from hypothesis generation to drafting documentation.
- Consciously evaluate the quality and substantive correctness of AI-generated outputs.
- Gain knowledge on the safe and ethical use of AI tools concerning corporate data.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This course is available as onsite live training in Kenya 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 (lookup functions, pivot tables, basic charting).
- Domain knowledge: Basic understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with the data lifecycle in an organization.
Audience
- Business 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 (1)
the lessons
Angela - PT Andalan Teknologi Bersama
Course - Introduction to Business Analysis: Defining Successful Projects
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