EDUCATIONAL PROGRAM OF THE MICROQUALIFICATION “ML SPECIALIST”

Passport of the educational program

Field of education: Information and communication technologies
Field of study: Information and communication technologies
Group of educational programs: Information technologies
License number for the direction of training: KZ67LAA00019559
Amount of credits: 16
Registration number: MCCE-2022/0003
Registration date: 10.07.2022
Languages of instruction: Russian, English
Partner Organization: Kazakhtelecom JSC Corporate University

Brief description of the microqualification educational program

The main direction of the EP:
The program is aimed at training specialists in the field of machine learning and big data analysis, at obtaining the competencies necessary to perform a new type of professional activity – the ability to use the SQL and Python programming languages for collecting, visualizing, analyzing big data (Big data) and building machine learning models, the ability to apply specific analytical and product approaches.

The purpose of the microqualification EP is
Formation of students’ skills in analyzing machine learning tasks and making a balanced choice of a particular solution for working with big data.

Tasks of microqualification EP:
– education of information, technical and research culture;
– development of interest in scientific and technical creativity, technology, high technologies;
– development of algorithmic and logical thinking;
– to form theoretical knowledge on the basics of machine learning for the construction of formal mathematical models and interpretation of simulation results;
– develop skills for the practical application of machine learning methods in solving applied problems in various fields;
– to develop skills and abilities of using Python libraries for the development of machine learning systems.

GENERATED LEARNING OUTCOMES

RO 1. choose the right data and translate it into a format understandable to the machine;
RO 2. design and train neural networks and other machine learning models;
RO 3. evaluate how well neural networks cope with their tasks;
RO 4. use the PyTorch framework, Tensorflow library and Keras API;
RO 5. use existing knowledge to solve practical problems of deep learning;
RO 6. navigate the concepts of the world of Big Data, Machine Learning and the Internet of Things;
RO 7. know the differences between different versions of Hadoop, Spark, NoSQL or Kafka distributions;
RO 8. identify the nuances of cloud solutions;
RO 9. Know what the GMP standard is;
RO 10. determine the features of the Industrial Internet of Things.

INFORMATION ABOUT DISCIPLINES

Name of the discipline Brief description of the discipline Amount of credits Amount of acad.hours Formed competencies (codes)
1. Digital transformation of the company The discipline is devoted to discussing changes in companies that occur under the influence of emerging new information technologies. The article considers the change in the business environment, the emergence of new models and scenarios in the modern environment. Particular attention is paid to the transformation of business models, the impact of the evolution of digital technologies on the personnel of companies, the changing nature of competition. The course examines global trends and features of the evolution of business in Kazakhstan. 5 150 ПК1, ПК2, ПК5
2. Project management in digital business The purpose of the discipline is to form students’ professional competencies necessary for the management of government and commercial Internet projects using modern digital technologies and tools. Training is provided to work in the CMS system: site management, content creation and editing, setting up pages, structure and individual blocks of the site. The program is a systematic view of digital business and the digital economy and has a practical focus. 5 150 ПК1, ПК3, ПК4
3. Creation and development of digital products The discipline will allow students to learn how to identify new customer stories that are in demand by the market, evaluate the economic effect, transform an idea into a concrete solution and determine the most optimal approach to its implementation. Familiarity with the basic approaches to product analytics and user research will allow you to maintain a competitive advantage in the further development of the product. 5 150 ПК1. ПК2, ПК3, ПК4
4. Final certification The purpose of the final certification of the student is to evaluate the results of training and professional competencies achieved upon completion of the study of the educational program of microqualification 1 30