COURSES OFFERED BY INSYS TECHNOLOGIES - PAGE 2

Cyber security refers to the body of technologies, processes, and practices designed to protect networks, devices, programs, and data from attack, damage, or unauthorized access. Cyber security may also be referred to as information technology security.

The AWS Training course will help you identify the appropriate AWS service based on data, compute or security requirements. You will learn how to design and scale AWS Cloud implementations with best practices recommended by Amazon.

Java is an extensively designed programming language that has various predefined classes that have in built methods that are capable of dealing with various issues without the need of the coding the procedure.

PHP: Hypertext Preprocessor is a general-purpose programming language originally designed for web development. It was originally created by Rasmus Lerdorf in 1994; the PHP reference implementation is now produced by The PHP Group.

This course teaches syntax in SQL shared by many types of databases, such as PostgreSQL, MySQL, SQL Server, and Oracle.This course teaches you everything you need to know to begin working with databases today!

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to autumate your task along the way, you’ll learn about VBA Macros and control flow.

At a high level, digital marketing refers to advertising delivered through digital channels such as search engines, websites, social media, email, and mobile apps. This term covers a wide range of marketing activities.

VMware Workstation is a virtual machine software that is used for x86 and x86-64 computers to run multiple operating systems over a single physical host computer. Each virtual machine can run a single instance of any operating system (Microsoft, Linux, etc.) simultaneously.

This Data Science training course, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science.

Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.