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Beginner 1500₾
It can be said that today's world stands on data. For most companies, data is their most important asset, but data without analytics is just numbers that cannot bring any added value. The role of a data analyst is precisely to translate large amounts of raw information into insights that push companies to take valuable and significant steps.
During the course, we will cover the full cycle of data analysis: formulating a business problem as an analytical problem, finding relevant data, cleaning and processing it using SQL, analyzing and visualizing data using Power BI, communicating the findings, and making decisions based on analytics.
18 Lectures
36
hours
Intermediate 2500₾
Data Engineering is the foundation on which the modern Data ecosystem stands. At its core, the goal of data engineering is to design and develop systems and infrastructure that automatically collect, store, and analyze data. Primarily, data engineering aims to develop methodologies and tools that ensure maximum process perfection, information sustainability, and reliability.
Along with fundamental concepts, students will learn to use key technologies and tools for data engineering such as Apache Airflow, Apache Kafka, temporary and persistent data storage systems (SQL, PostgreSQL, Redis), designing web services for data (FastAPI), and various Python libraries. They will understand how different technologies/tools interact with each other and how theoretical concepts help in perfecting practice.
33 Lectures
99
hours
Intermediate 1350₾
The demand for tech talent has never been higher, making it increasingly challenging for companies to find and attract the best human resources. In this competitive environment, recruiters need not only a deep understanding of the tech industry but also practical expertise in how to find, onboard, and retain A+ tech professionals.
This course is packed with practical work and designed to provide a detailed understanding of current trends, platforms, and qualifications - it's a mini MBA in human resource recruitment for the technology sector. Throughout the course, students will learn the complete 360-degree process of [Tech] recruiting.
14 Lectures
42
hours
Beginner 950₾
Artificial Intelligence has become an integral part of the modern manager's role. Therefore, the better we understand what language to use and how to communicate with artificial intelligence, the easier it becomes to integrate it into our daily lives. Most importantly, artificial intelligence enables efficient time use and helps avoid routine tasks.
Throughout the lectures, we will study how to use popular AI systems such as ChatGPT, Claude.ai, and Gemini. Working on practical assignments and the final project will help us gain in-depth knowledge about using AI tools and 'taming' them to our needs.
6 Lectures
18
hours
Intermediate 1400₾
JavaScript has become one of the most widely used programming languages in modern times, enabling development across various platforms - from Web and Mobile to Cross-platform desktop applications. Navigating the modern JavaScript ecosystem is nearly impossible without Node.js, which is why mastering Node.js opens up entirely new avenues for JavaScript engineers to grow. Node.js is utilized by successful companies such as LinkedIn, Uber, Netflix, and many others.The primary goal of this course is to provide modern JavaScript engineers with a thorough and sequential understanding of Node.js fundamentals and to correctly identify its application areas. Students will learn how to use JavaScript on the server-side (Back-end), explore Node's rich ecosystem and its fundamental characteristics, and gain practical experience in building, debugging, and deploying Node.js applications.
18 Lectures
54
hours
Intermediate 1600₾
In the modern world, no digital product or service is considered complete without a mobile application. Approximately 86% of mobile users worldwide use Android, making it the most popular direction in mobile development.Mobile applications are a type of software, so the initial stage of the course focuses on learning programming languages and approaches. After this, we move on to Android-specific frameworks, tools, and the application creation process.
24 Lectures
72 hours
hours
Intermediate 1600₾
As mobile applications continue to gain popularity, the demand for cross-platform development solutions is on the rise. These solutions allow developers to create applications for multiple platforms using a single codebase. Flutter, one such cross-platform framework, has emerged as a leader in the field. According to LinkedIn, Flutter is the #1 software skill in demand, while Statista research ranks it as the top mobile framework with the highest market share.Developed by Google, Flutter is a UI framework that enables the creation of mobile, web, and desktop applications for both Android and iOS platforms using a single codebase. Major companies such as Google, Alibaba, and eBay have adopted Flutter for their development needs.
18 Lectures
54
hours
Beginner 1400₾
This course offers a fully practice-based learning experience, providing students with the opportunity to gain real-world project development experience. The course is structured in two main phases: In-depth study of HTML and CSS Mastering core JavaScript concepts and building small to medium-sized applications.
Students will benefit from mentorship by an experienced instructor with 6 years of Front-end Development experience, currently working as a Senior Front-end Developer at the American startup Rad. inc.
At the course conclusion, participants will create an individual project using JavaScript, the most in-demand programming language. They will also undergo a mock interview with live coding, simulating real-world hiring processes.
24 Lectures
72
hours
Beginner 1400₾
Today, Python is one of the most in-demand and widespread programming languages. Google, Dropbox, Spotify, Amazon, Facebook, Instagram - this is an incomplete list of companies whose significant service components are created using Python. It has an active, global community of developers and one of the largest open-source libraries, which contributes to global-scale operations in this field and the development of the language.
Python is one of the best choices for back-end development, machine learning, data engineering, and cloud services. That's why learning it is a good start for anyone interested in the diversity of the technology field.
During the course, we will cover the basics of computer science, learn the Python programming language, and build a web service using Django and Flask frameworks, which will allow students to take the next career steps in Back-end Development, as they will already have an individual project completed within the course in their Github portfolio.
20 Lectures
60
hours
Beginner 1400₾
The program is entirely based on practice-oriented learning, during which students will have the opportunity to gain real project creation experience. Throughout the course, students will work with authorization modules, databases, familiarize themselves with all four principles of OOP, and Clean Code writing practices along with design patterns and SOLID principles. The program includes mentorship and Knowledge transfer sessions, which will be based on C#, one of the TOP five programming languages for Back-end according to LinkedIn.At the end of the course, participants will create an individual project on the .Net Framework, undergo an interview simulation with live coding, which will be as close as possible to real selection stages. Finally, upon successful completion of the course, they will be ready to start a career as a Junior .Net Developer.
24 Lectures
72
hours
Intermediate 2500₾
Data Science can be defined as a combination of mathematics, business, algorithms, and machine learning techniques that help us find patterns in data and make discoveries that will significantly simplify and make decision-making more effective for organizations.The course will cover all important areas of Data Science. Using Python, the most commonly used programming language for data analysis, we will cover the full cycle of data science - initial data processing, preparation for modeling, building machine and deep learning algorithms, training, application, and turning them into products.Throughout the program, students will work independently on an individual project.
32 Lectures
96
hours
Beginner 1400₾
The program is entirely based on practice-oriented learning, during which students will have the opportunity to learn how to create test cases using various design techniques and test web and mobile applications. The course will focus on the entire quality management process, various tools that assist in testing, and the tester's role in the product development process. The program includes mentorship from an instructor, with whom students will develop all the technical skills necessary for a manual tester to detect and correct errors in a timely manner, based on various real cases and practical exercises.
Throughout the program, after each lecture, students will independently complete corresponding practical assignments. They will also receive advice and consultations on career development. At the end of the course, they will create an individual project.
14 Lectures
42
hours
Beginner 1400₾
The program fully incorporates practice-based learning, during which students will have the opportunity to study project management methodologies and tools (Jira, Confluence, Clickup, Trello, Miro) currently used in the IT industry. We will review various project management approaches, but the main focus will be on the Scrum Framework of the Agile methodology. Students will participate in lecture workshops and simulations that will allow them to face future career challenges based on practice.
Throughout the program, students will work independently on an individual project that covers the full project management cycle. At the same time, they will familiarize themselves with industry-standard approaches and interview techniques and learn how to communicate effectively with project teams.
13 Lectures
39
hours
Intermediate 1500₾
Modern user interfaces are an extremely complex and comprehensive topic. Over time, the number of challenges increases, and consequently, the problem-solving tools change. React has been actively coping with these problems for many years. It's a technology created by Meta that allows us to create user interfaces quickly and flexibly. Products such as Facebook, Instagram, Netflix, X(twitter), Airbnb, Uber, Dropbox, and many others are built using React, making it one of the most in-demand technologies in the market.
Within the framework of this course, we will practically examine all aspects of JavaScript that we will need for the fundamental study of React. We will analyze and study all the main nuances, concepts, and architectural parts of React's latest 18th version that we will need to create modern user interfaces, and along with this, we will see where modern React is developing in the form of Server Components.
20 Lectures
50
hours
Intermediate 1500₾
In recent years, Front-End Development has emerged as one of the fastest-growing and most promising industries. The Angular Framework, created by Google in 2016 and still actively improving, has played a significant role in this growth. Using the Angular Framework, you will be able to build TypeScript-Based Responsive Single-Page Applications (SPA).
Throughout the course, the main focus will be on deeply learning Angular's core concepts. Considerable time will be devoted to in-depth analysis of TypeScript and RxJS, demonstrating why typing (TS) and the reactive paradigm (RxJS) are valuable.
20 Lectures
60
hours
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