COURSES OFFERED BY ALLSOFT SOLUTIONS

Testing is a critical phase of the Software Development Life Cycle. Manual testing is the process in which the defects are identified, isolated, subjected for justification, and ensure that the product is defect-free, in-order to produce a quality product.

Cybercrime is now more profitable than the global illegal drug trade. Because of their profitability and low risk, there is a need for effective education and training in methods of securing critical infrastructures, be it a financial institution's databases or a nuclear power plant.

Allsoft Solutions offers application development with Java training. Our team consists of experienced Java professionals under whose guidance students can develop desktop-based applications in Java and work on live projects.

This course is an introduction to the Python programming language without prior programming experience. Python language is a language with simple syntax and a strong set of libraries.

The Internet of Things is the general concept of network devices to capture and collect data from the environment and then share that data over the internet where it can be processed and used for various interesting purposes.

This course provides a basic introduction to big data and related quantitative research methods. The aim of the course is to familiarize students with big data analysis as a tool for processing substantial research questions. 

This course is an introduction to networking. The course is for both the Computer Networking Specialist Certificate and the A.A.S.

Android is the versatile mobile operating system from Google for smartphones and tablets. It uses a modified version of the Linux LTS kernel and other open source software stacks.

This course helps learn market disruptions brought by cloud adoption in the enterprise, To understand the importance of a robust multi-channel strategy.

This course provides a brief introduction to the basic machine learning concepts and popular machine learning algorithms. At Allsoft we cover the most popular supervised learning algorithms, including linear regression, logistic regression, decision trees, k-nearest neighbors and more.