COURSES OFFERED BY ARIYATH ACADEMY

Full-stack Java development involves the creation of end-to-end web applications using Java technologies for both front-end and back-end development.

Full-stack Python development refers to the end-to-end creation of web applications using the Python programming language for both front-end and back-end development.

UI (User Interface) and UX (User Experience) development are integral aspects of creating effective and user-friendly digital experiences. UI development focuses on the visual elements that users interact with, such as buttons, icons, and layouts.

DevOps, a portmanteau of "Development" and "Operations," represents a cultural and collaborative approach to software development and IT operations. It seeks to break down traditional silos between development teams and operations teams.

Linux administration involves the proficient management and maintenance of Linux-based operating systems, playing a critical role in the stability and security of IT infrastructures.

Amazon Web Services, in short, referred to as AWS can simply be interpreted as the most secure cloud application platform delivering a highly efficient cloud computing services.

Data Science with Python training offers a comprehensive and practical exploration of the multifaceted field of data science using the Python programming language. Participants in this training typically gain proficiency in various Python libraries and tools essential for data manipulation.

Data Analyst training provides individuals with the essential skills and knowledge needed to excel in the field of data analysis. This comprehensive program typically covers a range of topics, starting with the basics of data manipulation, cleaning, and visualization.

Machine Learning (ML) and Artificial Intelligence (AI) represent transformative fields at the intersection of computer science and data analysis. Machine Learning involves the development of algorithms and models that enable computer systems to learn and make predictions.

Machine Learning (ML) and Cloud Computing represent a synergistic convergence that is transforming the landscape of technology and data-driven innovation.