Course structure
Summary of IT Business Analysis procedure:
- Enterprise Analysis: Motivation, Stakeholder Analysis, Process Modeling
- Working with requirements: Eliciting, documenting and prioritizing requirements
- Functional specification tools: Use-Case modeling, UX Prototypes,
- Agile analysis techniques: Use-Stories, Work with Back-log, Product approach
Introducing the possibilities of large language models such as ChatGPT and other generative tools
- Working with text
- Working with diagrams
- Working with data
- Code work/scripts
- Integration to other tools
Prompt Engineering minimum for Analysts
- How large language models work
- Best practices for writing prompts
- Examples of effective “prompts”
- Bots vs Agents
Practical exercise: IT Business Analysis with the use of AI from a business assignment for a functional design such as:
- Preparation for the project/meeting – initial research
- Preparation of templates, questionnaires and other tools for efficient work and professional methodology
- Working with information: generating questions, looking for alternatives or inconsistencies
- Creating drafts of textual and graphic outputs (processes, needs, requirements, user-stories, use-cases, UX prototypes or UML diagrams,…)
- Improvement and quality assurance of outputs
Safe use of AI tools, or what not to be afraid of and what not to do.
Advanced practices and future trends
- Creating CustomGPTs tailored for your team or project
- The RAG technique and how to use it for project/product tailored conversations
- How to launch and develop local language models for the next level of security
