COURSES OFFERED BY QIS ACADEMY

The course in data science and machine learning involves the study of techniques and tools for analyzing and interpreting large sets of data. It covers topics such as statistical analysis, machine learning algorithms, data visualization, and data manipulation.

Embedded systems offer a vast scope of opportunities for learners with deep insights into the subject. Major companies like Samsung, Sony, Bosch, Siemens, Tata Elxsi, Honeywell, and TI offer lucrative jobs in this field.

The course in Python full stack development covers the study of front-end and back-end web development using Python programming language. It includes learning how to develop dynamic web applications, database integration, and user interface design.

The course in Java full stack development covers the study of front-end and back-end web development using Java programming language. It includes learning how to develop dynamic web applications, database integration, and user interface design.

The course in PHP full stack development covers the study of front-end and back-end web development using PHP programming language. It includes learning how to develop dynamic web applications, database integration, and user interface design.

The course in .NET full stack development covers the study of front-end and back-end web development using Microsoft .NET technology. It includes learning how to develop dynamic web applications, database integration, and user interface design.

Explore the world of AI and learn how to build intelligent systems that can make decisions based on data. Understand the fundamentals of AI, including machine learning and deep learning, and how they can be applied to real-world problems.

Enroll in a React course to learn how to build dynamic and responsive user interfaces for web applications. Gain knowledge about React's core concepts such as components, props, and state management.

Master the art of analyzing and interpreting complex data using Python, R, or SQL. Learn how to collect, clean, and visualize data to uncover insights and make data-driven decisions. Develop advanced machine learning models and predictive analytics techniques.

Explore the world of IoT and learn how to build smart systems that can connect and communicate with each other through the Internet. Understand the fundamentals of IoT, including sensors, connectivity protocols, and cloud computing.