Texvn Engineering Services of Visakhapatnam owned by with the aim to advance and disseminate the knowledge and maintain highest standard of learning through teaching research extension Programmed and conceptual of the society. having vast experience in the field of education is committed to make all round social transformation through spread of quality education in rural and urban areas throughout the country.The Texvn Engineering Services has been continuously aiming at developing quality human recourse and maintaining high academic standards covering large segments of student community. We focus on providing training for various courses associated to Information technology especially in Software Training for various fields such as Cakephp,Cherrypy,Codeigniter,Coffeescript,Cpanel,Css,Css Buttons,D3js,Dcjs,Django courses.Texvn Engineering Services is a pioneer education provider located in Visakhapatnam. We at Texvn Engineering Services have a wide range of Software Training Courses Courses and we maintain education standards provide placement assistance. We provide services in various fileds such as Logistic Regression In Python,Machine Learning,Pybrain,Scikit Learn,Tensorflow,Theano,Time Series,Drupal,Electron,Power Bi courses.Texvn Engineering Services brings courses from various experienced and certified instructors on one platform so learners can choose the mot suited one for them. We conduct services in Documentdb Sql,Documentdb,Dynamodb,H2 Database,Hsqldb,Ims Db,Mariadb,Memcached,Mongodb,Extjs courses. for IT Trainings Online.A part of the Texvn Engineering Services we deal in IT Trainings Online by providing reliable and professional advice to students helping them to select the right course in various Openshift,Puppet,Saltstack,Scrapy,Svn,Unix,Linux Admin,Ubuntu,Virtualization2.0,Qlikview courses. Training in Visakhapatnam.
• Feasible Payment Process• Course Integrated Assigments• Hands on learning and experience• Weekday, Weekend & Fast track Courses• Weekend Batches for working professionals• Individual attention for each student with limited class strength