Vocational Generative AI training objectives

(by Dimitrios P. Iracleous, Learning and Development Director, Code.Hub)

Overview of the working paradigm

Gen AI is a modern tool for the professional that can be only compared to a junior human assistant with access to a vast library and always improving with the context of the current tasks. The user does not need to care about the mechanics of the Gen AI, but to assess the high level reasoning of the content generation process.

All start with a prompt

The fundamental interaction with Gen AI is the suitable prompt. It should be as descriptive as possible, clear and fully comprehensible. It is advisable to request the intermediate steps to inspect the path of reasoning and ask to provide the automated scripts and codes for Office tools like text documents, spreadsheets, and presentation slides.

Solutions to case studies

At an intermediate level, the tool will provide solutions to business cases. At this point the user should be aware of the methodologies and techniques in the working business, the relative considerations, regulations, and recommendations. The proposed artifacts will be checked to comply with data privacy, copyright, and licensing. The deliverables should exhibit explainability and audit trails.

The proposed framework of work

The overall process will be a closed loop approach. The system will be provided with the needed input and generate the output. The input and output date will be stored along with the notes for the next iteration. A refined output will be generated. 

Using this approach a series of solutions can be created and a comparison to these can take place to detect possible conflicts and estimate the sequences. The user will select the optimized solution and deploy it in the production.

The new working environment

The professionals start at a higher working level, as the junior/implementation position is no longer required. They must be able to deal with abstract concepts, evaluate given solutions, understand architectures and assess metrics. Agility, productivity, and quality are the objectives that will be achieved.