315, 1st Stage, 100 Feet Road, Between KFC, &, Swami Vivekananda Rd, Indiranagar, Bengaluru, Karnataka 560038, India
About Niit | Professional Courses in Bengaluru
Niit is having 20 years of experience in training and education and provides career oriented courses globally recognised certified courses with 100% placement assistance. We provide training on overall Online IT Training Courses education starting through building the right aptitude for Apache Solr,Apache Spark,Apache Storm,Apache Tajo,Avro,Aws Quicksight,Big Data Analytics,Cassandra,Emberjs,Expressjs courses. to the professional level skill development.The consistent hard work commitment and dedication towards the cause of professional education and the students holistic development became the fundamental basis and cause for growth and development of Niit in Bengaluru. We provide Software Courses for various fields such as Cakephp,Cherrypy,Codeigniter,Coffeescript,Cpanel,Css,Css Buttons,D3js,Dcjs,Django courses.All trainers of Niit are well experienced in the related domain to offer a wide variety of job oriented Software Training Courses courses and assist them in getting a job in IT industry. We specialize in training for Logistic Regression In Python,Machine Learning,Pybrain,Scikit Learn,Tensorflow,Theano,Time Series,Drupal,Electron,Power Bi courses.Niit is a fast growing IT Trainings Online company having a vision is to be at the cutting edge of technology and to become a key player in the field of Documentdb Sql,Documentdb,Dynamodb,H2 Database,Hsqldb,Ims Db,Mariadb,Memcached,Mongodb,Extjs courses.Niit was incorporated in the year 2007 and involved in Openshift,Puppet,Saltstack,Scrapy,Svn,Unix,Linux Admin,Ubuntu,Virtualization2.0,Qlikview courses. with multiple domain expertise since 2001, . We are engaged in rendering services for IT Trainings Online.
Niit Training Features
• Practical demonstrations.• Group discussions via forums• Industry-relevant course curriculum• Strong Theoretical & Practical Knowledge• Weekend Batches for working professionals• Individual attention for each student with limited class strength