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KazMBS

Fundamentals of Python and Artificial Intelligence

600 000 ₸
Allocated 2 Quotas

About course

More on KazMBS

In the era of digitization and rapid technological development, knowledge of programming and artificial intelligence (AI) fundamentals becomes not only a valuable asset, but also a necessary tool for professionals in various fields. Due to its accessibility and powerful features, Python stands out as one of the leading programming languages in the development of artificial intelligence systems. Therefore, the Python and Artificial Intelligence Fundamentals course aims to teach the fundamentals of programming and provide an introduction to the basic concepts of artificial intelligence powered by powerful Python tools.

Special condition

55 000 теңге көлеміндегі кепілдік депозит. Студент оқуды аяқтап, қорытынды сынақтан сәтті өтіп, қорытынды жобаны қорғаған жағдайда, кепілдік жарна студентке толық қайтарылады.

Course details

level

For beginner

Study format

Hybrid

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

168

Education language

Kazakh

Classes days_of_week

Mon-Sun

Teaching methodology

There are more practices than theories

Qualifications

Junior AI developer

Classes format

Offline lessons 1 time a week for 3 hours, Online lessons 2 times a week for 2 hours

Skills


Proficient in basic and advanced aspects of the Python programming language, including data structures, functions, classes and modules, understands and uses coding standards and best practices;

Develops algorithmic thinking and problem-solving skills using algorithms and data structures, including recursion, sorting, searching, and optimization;

Understands the basic principles and algorithms of artificial intelligence and machine learning, including supervised and unsupervised learning, neural networks, deep learning, and their applications;

Proficient in data preprocessing, analysis, and visualization using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn, understands and applies statistical methods and metrics.

FAQ

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