Tools for AI and Data Science

The following practical work and tests are planned. 1) Theoretical question test. 25% of the total score. 2) Planning of AI and data science tools and work environment organization in the company (group presentation) A case study type task, in which, after familiarizing themselves with the task conditions and the achievable organizational goals, students (in groups) must evaluate and select suitable tool alternatives and explain the AI ​​DevOps work organization approach based on the acquired material. The assessment will be guided by the compliance of the selected solution with the organizational goals and constraints specified in the case description. 25% of the total score. 3) Cognitive service pilot prototype A task in which the student will individually demonstrate a prototype of a cognitive cloud service (e.g. computer vision, voice, chat, etc.) of their choice, thus becoming familiar with the tools related to the demonstration process. 25% of the total score. 4) Model training and inference in a cloud computing service Using a trial or other version, students will train and infer a machine learning model to practically master the tools involved in this process. The assessment will be based on the confirmation of a successful outcome of the activity. 25% of the total grade

A prototype cognitive service trial task in which the student will individually demonstrate a prototype of cognitive cloud service of his or her choice (e.g. computer vision, voice, chat, etc.), thereby familiarising himself or herself with the tools involved in the exhibition process. 25% of the total score.

Using a trial or other version of Model teaching and inference in a computing cloud service, students will train and inferno a machine learning model to practically learn the tools involved in the process. The evaluation will be carried out on the basis of a successful confirmation of the outcome of the operation. 25% of total rating

Planning (group presentation) case analysis (case study) type task for the organisation of AI and data science tools and work environment in the enterprise in which, after learning about the conditions of the task and the objectives of the organisation to be achieved, students (groups) must evaluate and choose alternatives to suitable tools and explain the approach to organising the work of AI DevOps based on the material they have acquired. In the evaluation, we’ll control the organization’s goals and limits specified in the description of the match case for the selected solution. 25% of the total score.