IT Business Analysis with AI/LLM

Course code: ITBAAILLM

Similar to personal computers or the Internet, newer AI technologies have the potential to significantly change the way individual professions work. And this cannot be avoided even by the profession of IT Business Analytics. The good news is that no matter how “smart” the AI ​​is, the human+AI pair will always win over the human or the AI ​​alone in a competitive battle. Being able to use AI tools thus adds to the necessary digital skills of every professional.


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Course dates

Starting date: Upon request

Type: In-person/Virtual

Course duration: 1 day

Language: en/cz

Price without VAT: 375 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request In-person/Virtual 1 day en/cz 375 EUR Register
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Course description

The aim of the course is to introduce participants to the possibilities of large language models such as ChatGPT and generative AI in general. Try out practical techniques and procedures that will increase productivity and efficiency in IT or Business Analysis and learn to use new technologies as automatically and naturally as we do today when using office software.


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Target group

  • IT Business Analysts, Business Architects, Product Managers, and generally for all roles that are involved in IT or Business Analysis and task preparation for developers.

    
    

Course structure

Presentation of the possibilities of large language models such as ChatGPT and other generative tools in typical analytical activities

Prompt Engineering minimum for Analysts

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, searching for alternatives or inconsistencies,…
  • Creation of draft text 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 run and develop local language models for the next level of security

 

 

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