Online Course in Software Engineering in Asia

Top Online Courses in Software Engineering 2017 in Asia

Software Engineering

As the largest and most populous continent in the world, Asia consists of a wide variety of ethnic groups, cultures, environments, economics, historical ties, and governmental systems.

Course Online in Software Engineering in Asia

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Android App Development Certification Training

Edureka
Online Part time 5 weeks Open Enrollment India India Online

We have through this upgraded world-class Android Developer course become aligned with Googles vision of helping to make India a global hub of high-quality mobile developers and towards that supporting Google in their endeavor to train two million android developers. Our Android course is taught by top practitioners who are working full time, developing complex mobile apps. [+]

Top Online Courses in Software Engineering in Asia. About the Course We have through this upgraded world-class Android Developer course become aligned with Googles vision of helping to make India a global hub of high-quality mobile developers and towards that supporting Google in their endeavor to train two million android developers. Our Android course is taught by top practitioners who are working full time, developing complex mobile apps. Our instructors work closely with Edurekas in-house instructional design team to develop comprehensive and latest course content along with projects. Our interactive sessions and hands-on projects will ensure that you come out of this Android training as an ace developer. The Google authorized Android Development course is primarily designed for programmers who want to learn how to create mobile applications on the Android platform. As a part of this course, you will create widgets, Customize List view, Grid view, Spinners etc, create applications using audio, video and sqlite database and finally publish it on Google Play. This course will help you learn mobile app development from scratch and unlock new job opportunities for you in start-ups as well as large organizations. Master Android app development, learn how to set up Android Studio, understand Android architecture in detail, learn about integrating your mobile apps with Facebook, Twitter and other social media, Google Drive, Google Maps, SQLite and learn how to create and optimize app user experience. Course Objectives After completing the Android App Development course, you should be able to understand: Basic Android Development tools such as Android Studio, DDMS, Drawables, Listeners and Activity Lifecycle How to use various Layouts and Widgets and Implementing Event Receivers in your android application How to communicate between fragments and activities in android How to customize a widget and implement a menu bar in your activity How to create interactive applications in android with multiple activities including audio, video and animation How to create a dynamic web application with jSON and SOAP Service How to display user current location in a google map How to create applications using SQLite database and Third Party Libraries How to integrate Facebook, Dropbox and Google Drive in your existing android application How to publish your App on Google Play Why Learn Android App Development? Android is fast becoming one of the biggest platforms for programmers today. There is a huge demand for skilled Android developers all over the world. Most businesses across multiple domains are building Android Apps both for enterprise and retail products. Whether you are student or in the IT industry, possessing Android Development skills will help you take the next big leap in your career.As a part of this course, you'll develop your own mobile applications under the guidance of our expert instructors to give you a hands-on experience.This course is designed to help you become a top mobile app developer. Who should go for this Course? All those students and professionals who are keen to create amazing Apps in Android should go for this course. What are the pre-requisites for this Course? Anyone who wants to learn Android programming should have a Core Java knowledge along with an analytical blend of mind and logic reasoning. We also provide a complimentary self-paced course RJava Object Oriented ConceptsS to all the participants who enroll in this Android App Development course. This free, self-paced Java course will help you brush up your Java skills so that you can get the most out of the Android App Development course. Projects Which Case-Studies will be a part of the Course? Project 1: Weather Application Description: Create a Weather Application, which will show the current weather to a user. The application will display current temperature, humidity and hourly weather updates. We will be using OkHttp client to load the data from the network. The application will use the forecast.io API to fetch current weather updates. The application will leverage Google GSON to map JSON to Java POJO Classes. Project 2: Trakt Movie App Description: Create a movie application using Trakt API. The application shows a list of top 50 Trending movies on the dashboard screen. It shows the movie image and movie name in each list item. When user clicks on any particular list item, movie details will be shown. Certification Edureka Certification Process At the end of your course, you will work on an android application. You will receive project specifications which will help you to create an android application. Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate with a performance-based grading. If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reattempt the Project free of cost. Course Features Instructor-led Sessions There will be 10 instructor led Interactive online classes of 3 hours each and you will also get access to 6 self-paced videos with 12 hours content. Real-life Case Studies Towards the end of the course, you will be working on a project where you be expected to create an App in Android. Assignments Each class will be followed by practical assignments which can be completed before the next class. Lifetime Access You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS. 24 x 7 Expert Support We have 24x7 online support team available to help you with any technical queries you may have during the course. Certification Towards the end of the course, you will be working on a project. Edureka certifies you as an Android Developer based on the project. Forum We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing. [-]

DevOps Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. [+]

About the Course This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. Course Objectives Edureka’s DevOps training is designed to help you become a DevOps practitioner. During this course, our expert DevOps instructors will help you: Understand DevOps Ecosystem Learn about automatic Source Code Management using GIT and Continuous Integration using Jenkins Understand, Build and Test Automation: how to build an appropriate delivery pipeline and perform test automation on it Understand Containerization using Docker: identify the difference between containers and VMs Master Docker Commands and Use-cases : deals with the various networking concepts in Docker, the best way to use the Docker Volume, and creating Docker file Master Puppet: learn Configuration management and "Infrastructure-as-Code". You can learn about the master-agent architecture and catalog compilation in Puppet Learn Continuous Monitoring using Nagios: integrate Jenkins, Docker and Puppet, and learn about system monitoring using Nagios and its components Execute a live Project Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 2 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server. Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. Why Learn DevOps ? Leading organizations across the world have adopted DevOps methodologies to overhaul their performance, security and team dynamics. With more and more companies jumping onto the DevOps bandwagon, it has emerged as a highly sought after skill to master. This DevOps training is designed to make you a certified practitioner by providing you hands-on training on DevOps tools and sharing DevOps best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle. These activities are possible only in DevOps, not Agile or waterfall, and this is why Facebook and other top companies have chosen DevOps as the way forward for their business goals. DevOps is the preferred approach to develop high quality software in shorter development cycles which results in greater customer satisfaction. Who should go for this Course? DevOps training is a must to do for IT professionals, who are: Systems Admins Developers Testers Solutions Architect Release Engineers Cloud Professionals DevOps practitioners are among the highest paid IT professionals today with salary ranging till $110K (source: indeed job portal), and the market demand for them is growing rapidly. You can check a blog related to DevOps Engineer Career Path. What are the pre-requisites for this Course? Professionals who are keen for the DevOps training should have IT experience. There are no other prerequisites. Projects Which Case-Studies will be a part of the Course? During the DevOps online training, you will get ample opportunities for practicals and project. You will be working on a live project throughout the DevOps training and shall execute the following assignments: Pull a Java web application with source code available on GitHub Build & run test cases using Jenkins Use Docker to create an instance to run unit test cases Build pipeline is modified to spin the image, run test cases and destroy the image when done Build pipeline to dynamically run acceptance test case Deploy application in a web farm (more than one server and a load balancer) On completion of acceptance tests, clean up the images Show how Jenkins, Docker and Puppet are used in conjunction together to build dynamic dev/test environments The integration of Jenkins, Docker, Puppet and Nagios with sample scripting Certification Edureka Certification Process: Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s DevOps certificate. edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc. Please be assured. Course Features Instructor-led Sessions There will be 24 hours of instructor led Interactive online classes and you will also get access to 2 self-paced videos with 12 hours content. Real-life Case Studies Live project based on any of the selected use cases, involving implementation of the various DevOps tools. Assignments Each class will be followed by practical assignments which can be completed before the next class. Lifetime Access You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS. 24 x 7 Expert Support We have 24x7 online support team available to help you with any technical queries you may have during the course. Certification Towards the end of the course, you will be working on a project. Edureka certifies you as an DevOps Expert based on the project. Forum We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing. [-]

Salesforce Certification Training

Edureka
Online Full time Part time 20 days Open Enrollment India India Online + 1 more

Edureka's Salesforce Certification Online Training will make you an expert in all the concepts related to administration and declarative development options. It will introduce you to the advanced developer options like Apex and VisualForce. It will also help you prepare for Salesforce Certification (both SFDC Admin 201 & App Builder Certification) [+]

Top Online Courses in Software Engineering in Asia. About Salesforce Training Edureka's Salesforce Certification Online Training will make you an expert in all the concepts related to administration and declarative development options. It will introduce you to the advanced developer options like Apex and VisualForce. It will also help you prepare for Salesforce Certification (both SFDC Admin 201 & App Builder Certification) Why Learn Salesforce? After the successful completion of the Salesforce Certification Training: Admin 201 & App Builder by edureka, you will be able to understand: Different building blocks of Salesforce The data model The security model The business process automation options The Sales Cloud and Service Cloud modules The reports and dashboard Salesforce1, SalesforceA, Chatter and Social features Introduction to Apex Introduction to VisualForce Introduction to various integration options like SOAP, REST APIs Who should go for Salesforce Certification training? This Salesforce Certification training at edureka is suitable for all professionals who are passionate about CRM and cloud computing. But typical profiles, but not limited to, who go for salesforce training are: Siebel and other CRM products professionals Experienced professionals who are looking to have an exciting career in the leading Cloud Computing platform Functional consultants who are looking to switch to salesforce Freshers who are looking to get a jump start to their careers in Cloud computing Lateral developers who have worked in Java, mainframe and C# and are looking for a boost to their career from legacy platform What are the pre-requisites for Salesforce Certification training? Salesforce Certification training at edureka does not require any specific pre-requisites. But any working knowledge as an administrator or a developer or a functional consultant will be handy Projects Problem Statement Case Study 1: Student App for Cloud University Industry Description: Create a student app for cloud university to automate the student performance tracking during their tenure in the university, student requests and extra-curricular activities they participate in during the time they spend in the university Case Study 2: Event Management app for hospitality industry Description: Create an app for Event Management that takes care of - Event Registrations, Confirmations, Cancellations, Speaker associations and other event related activities Tools used: Developer edition of Salesforce Certification Edureka Certification Process At the end of your training, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work on. Once you successfully complete the project, you will be awarded edureka’s "Salesforce Expert Certificate". If your project is not approved in first attempt, we’ll offer you additional assistance to help you understand the concepts better and re-attempt the project at no extra cost. edureka certification has industry recognition and we are the preferred training partner for many MNCs including e.g. Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon This will be a verifiable certificate which can be easily validated on our website. Training Features Instructor-led Sessions There will be 14 instructor-led interactive online sessions of 3 hours and 20 sessions of 2 hours for weekend and weekday batches respectively Real-life Case Studies Towards the end of the training, you will be working on a project where you will create a custom app on Force.com right from the scratch Assignments Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class Lifetime Access You get lifetime access to the Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there 24 x 7 Expert Support We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime Certification Edureka certifies you as a Salesforce Expert based on the project reviewed by our expert panel Forum We have a community forum for all our customers wherein you can enrich your learning through peer interaction and knowledge sharing [-]

Java/J2EE and SOA Certification Training

Edureka
Online Full time Part time 21 days Open Enrollment India India Online + 1 more

Edureka's Advanced Java Course is designed for students and professionals who want to be a Java Developer. [+]

About The Course Edureka's Advanced Java Course is designed for students and professionals who want to be a Java Developer. This is a 42 hour course which will cover both core and advanced Java concepts like Database connectivity, Threads, Exception Handling, Collections, JSP, Servlets, XMLHandling etc. We will also learn various Java frameworks like Hibernate and Spring. Course Objectives After the completion of the Advance Java Course at Edureka, you should be able to: Develop the code with various Java data types, conditions and loops. Implement arrays, functions and string handling techniques. Understand object oriented programming through Java using Classes, Objects and various Java concepts like Abstract, Final etc. Implement multi-threading and exception handling. Use parse XML files using DOM and SAX in Java. Write a code in JDBC to communicate with Database. Develop web applications and JSP pages. Interact with the database using hibernate framework. Write code with spring framework components like Dependency Injection and Auto Wiring. Implement SOA using web services. Who should go for this course? This course is designed for professionals aspiring to become Java Developers. Programmers, Web Developers, Web Designers, Programming Hobbyists, Database Administrators, Youngsters who want to kick start their career are the key beneficiaries of this course. Pre-requisites Attendees should have prior programming experience and be familiar with basic concepts such as variables/scopes, flow-control, and functions. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial. Project Work Towards the end of the Course, you will be working on a live project. The project is from Banking domain, dealing with web services. Topics - Introduction to Web Services, WSDL files, WSDL and UDDI, SOAP, RESTfulWeb Service, JAX-WS Implementation. Following modules need to be developed for the project. Module 1 : This module accepts user id and password and authenticates the given credentials with the database using hibernate. Module 2 : By accepting the type of account (SB / Current A/c) and user's details, account will be created. Module 3 : Perform the debit and credit transactions. Module 4 : Accept credit card information with the desired details and authorize the credit card amount using web services. Module 5 : Display transactions of the account based on given date range (From a specific date to a specific date). Why learn Java/J2EE & SOA? Java is a general-purpose, class-based, object-oriented computer programming language that was designed by James Gosling at Sun Microsystems in 1995. Key Highlights of Java: Platform Independent: This allows programmers to develop applications that can run on any operating system. Usability of Java: Java is most widely used programming language. It is present everywhere. It really doesn't matter which domain you are working in, you will surely come across Java sooner or later! Open Source: The good news is that Java is available for free! All the development tools and the environment (JRE & JDK) that is used to develop Java applications are absolutely free of cost. Android: Irrespective of the fact that you are tech savvy or not, most of us are badly bitten by the Android bug! Android is in great demand today and fortunately you need Java for Android development. Hence, the importance of Java has increased even more. Hadoop: Hadoop is one of the most trending framework for processing Big Data. It has been designed and developed in Java. In spite of having a tough competition on the server side from Microsoft and other companies, Java is doing extremely well on mobile platforms, thanks to Android! It has also been the primary language for Hadoop Developers. Course Features Online Classes: 42 Hrs There will be 14 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 45 Hrs Each class will be followed by practical assignments which can be completed before the next class. We will help you setup the IDE for java development. Our 24x7 expert support team will be available to help through email, phone or Live Support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you be expected to develop a Java application. You will get practical exposure about developing application in Java using Spring and Hibernate frameworks. You will understand how to use Hibernate as Java database persistence mechanism tool. You will also understand how the Java Project environment is setup and how the Test environment is setup. Lifetime Access You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project involving development of a scalable Java Application. Edureka certifies you as an Advanced Java Developer based on the project review by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in Java Application development. [-]

Selenium WebDriver Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

Selenium is used for automating Web Applications. In this course you will experience to work with Data Driven Framework and Keyword Driven Framework and perform Cross browser testing. Selenium IDE, Selenium RC, Selenium WebDriver and Selenium-Grid are covered during the course. [+]

Top Online Courses in Software Engineering in Asia. About The Course Selenium is used for automating Web Applications. In this course you will experience to work with Data Driven Framework and Keyword Driven Framework and perform Cross browser testing. Selenium IDE, Selenium RC, Selenium WebDriver and Selenium-Grid are covered during the course. You will learn to perform tests on multiple machines simultaneously running on different Operating Systems, integrate other frameworks like JUnit and TestNG with Selenium. Course Objectives After the completion of ‘Testing With Selenium WebDriver’ Course, you should be able to : Understand Selenium Architecture and its components Work with Selenium RC Execute Different Locator Techniques e.g by link, by text, by id, by css, by xpath etc. Understand Selenium WebDriver/ Selenium 2.0 Perform Cross browser testing with Mozilla Firefox, Google Chrome, Safari and Opera Use WebDriver advanced features e.g. taking screenshots, handling cookies and managing exceptions Validate page content using Selenium WebDriver API Create Data driven, Keyword driven and Hybrid test framework Record and importing tests with Selenium IDE Perform unit testing with JUnit Apply Test Driven Development(TDD) approach Code coverage report using Java Code Coverage(JaCoCo) to evaluate code execution Perform distributed testing using Selenium GRID Interact with images present on the web page with Sikuli Write Test cases using TestNG Automate windows applications with AutoIt Who should go for this course? Professionals from any domain can join the course as it does not require hard core programming knowledge. Selenium is a new and booming Technology in Software Industry that is widely accepted across all the industries. People with basic knowledge of Object Oriented Programming can easily take up this course. Pre-requisites The pre-requisite for this course is basic knowledge of Core Java. We provide a complimentary course "Java Essentials for Testing With Selenium WebDriver to all the participants who enroll for Selenium course. This course helps you brush up your Java skills needed to work on Selenium. In case you come across any doubt, the 24*7 support team will promptly assist you. Project Work Towards the end of the course you will be working on a Project where we will be automating a Web Application like Facebook/Twitter/Google+ or any government site to cover all the possible cases of interaction with application. Project will be Keyword Driven so that it should work as per user instructions. Test cases will be executed multiple times using Data Driven approach. Project will handle Textboxes, Links, Checkbox, Radio button, submit button, reset button, URL, Page Title, synchronization between pages when navigating from one page to another, taking screenshots of application for each of the validation of – verbose, textbox value, dynamic links, handling of dialog and alert box, fetching data from application. We will build this Project using Eclipse and Selenium WebDriver. Why learn Selenium? Selenium is an open source tool and covers all the scenarios what licensed tool like QTP, IBM RFT or other available tools in market can do. Performance, execution speed and browser interaction of Selenium is too fast than any other automation tool. Unattended execution can be achieved using Selenium Framework. Selenium supports different operating systems along with support for different programming languages and browsers, these features makes the Selenium ahead of any other Automation tool. Course Features Online Classes: 30 Hrs 10 live classes of 3 hrs each by Industry practitioner Assignments: 20 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project based on automating Web Applications Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Edureka certified 'Selenium Developer' based on your project performance, reviewed by our expert panel [-]

Informatica PowerCenter 9.x Certification Training

Edureka
Online Full time Part time 21 days Open Enrollment India India Online + 1 more

Edureka's Informatica PowerCenter 9.X Developer & Admin Course, will introduce the participants to work with the PowerCenter. Developers can use Informatica to create, execute, as well as administer, monitor and schedule ETL processes and understand how these are used in data mining operations. [+]

About The Course Edureka's Informatica PowerCenter 9.X Developer & Admin Course, will introduce the participants to work with the PowerCenter. Developers can use Informatica to create, execute, as well as administer, monitor and schedule ETL processes and understand how these are used in data mining operations. The course will also cover Installation & Configuration of Informatica PowerCenter 9.X and basic Administration Activities. Participants will also get to implement one project towards the end of the course. Course Objectives After the completion of the Informatica course at Edureka, you will be able to : Understand and identify different Informatica Products Describe Informatica PowerCenter architecture & its different components Use PowerCenter 9.x components to build Mappings, Tasks, Workflows Describe the basic and advanced features functionalities of PowerCenter 9.X transformations Understand Workflow Task and job handling Describe Mapping Parameter and Variables Perform debugging, troubleshooting, error handling and recovery Learn to calculate cache requirement and implement session cache Execute performance tuning and Optimization Recognize and explain the functionalities of the Repository Manager tool. Identify how to handle services in the Administration Console Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation Gain insight on ETL best practices using Informatica Who should go for this course? The following professionals can go for this course : Software Developers Analytics Professionals BI/ETL/DW Professionals Mainframe developers and Architects Individual Contributors in the field of Enterprise Business Intelligence Pre-requisites The pre-requisites for this course include knowledge of SQL and basic Unix. Project Work Towards the end of the Course, you will be working on a live project to perform data analytics. Project #1 : Creation of Sales Data Warehouse Industry : Retail Data : NorthWind/AdventureWorks dataset. Problem Statement : Creation of ETL jobs to build Sales Data Mart using Informatica. Project #2 : Transaction Analysis for Retail Industry : Retail Data : Sales data from Real time retail project. ( Data will be masked) Problem Statement : Analyzing Retail Transaction Information using Informatica. Why learn Informatica? Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform inter operates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size. Course Features Online Classes: 42 Hrs There will be 12 instructor-led interactive online classes during the course. Each class will be of approximately 3.5 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Assignments: 25 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to visualize and analyze data. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as a Certified Informatica Expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in Informatica. [-]

Python Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. [+]

Top Online Courses in Software Engineering in Asia. About The Course Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, numpy scipy etc. Course Objectives After the completion of the Mastering Python Course at Edureka, you should be able to: Master the Basic and Advanced Concepts of Python Understand Python Scripts on UNIX/Windows, Python Editors and IDEs Master the Concepts of Sequences and File operations Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions and using modules in Python Gain expertise in machine learning using Python and build a Real Life Machine Learning application Understand the supervised and unsupervised learning and concepts of Scikit-Learn Master the concepts of MapReduce in Hadoop Learn to write Complex MapReduce programs Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics Master the concepts of Web scraping in Python Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience Who should go for this course? Experienced Professional or a Beginner, Anyone who wants to learn programming with Python can start right away! This course is exclusively designed for professionals aspiring to make a career in Big Data Analytics using Python. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of this widely-used open source general-purpose scripting language, can also opt for this course. Pre-requisites Although there are no hard pre-requisites, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial. Project Work A real world project showing scrapping data from Google finance and IMDB using beautiful soup. We will also perform sentiment analysis over the live tweets fetched from twitter. Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. Course Features Online Classes: 30 Hrs 10 live classes of 3 hrs each by Industry practitioners Assignments: 40 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project based on the data scraped from social media sites in real time and finding insights Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Edureka certified 'Python Expert' based on your project performance, reviewed by our expert panel [-]

Apache Kafka Certification Training

Edureka
Online Part time 3 weeks Open Enrollment India India Online

Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. [+]

About The Course Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. The course also covers installation & configuration of Kafka and other components like Hadoop, Spark, Storm, Maven etc. Course Objectives After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to: Understand Kafka and its components Set up an end to end Kafka cluster along with Hadoop and Yarn cluster Integrating Kafka with real time streaming systems like Spark & Storm Describe the basic and advanced features involved in designing and developing a high throughput messaging system Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter Understanding the insights of Kafka API Work on a real life Project, implementing Twitter streaming with Kafka, Hadoop & Storm Who should go for this course? This course is designed for professionals who want to learn Kafka techniques and wish to apply it on Big Data. It is highly recommended for: Developers who want to gain acceleration in their careers as a "Kafka Big Data Developer" Testing professionals who are currently involved in Queuing and Messaging systems Big Data Architects who like to include Kafka in their ecosystem Project Managers involved in projects of messaging systems What are the Pre-requisites for this Course? Knowledge of core java concepts is the pre-requisite for this course. We provide a complimentary course i.e. "Java Essentials for Apache Kafka" to all the participants who enroll for the Real-Time Analytics with Apache Kafka training. Which Case-Studies will be a part of the Course? Towards the end of the course, you will be working on a live project where you will be using Kafka messaging system to perform analysis on Twitter Streaming along with Hadoop, Spark & Storm. Why learn Real-Time Analytics with Apache Kafka ? Kafka provides high throughput and scalable messaging systems. Developed on Linkedin, it can be used effectively in place of traditional messaging system like JMS, Apache MQ etc. Because Kafka can be integrated into systems like Spark, Storm, Hadoop etc, it is a highly recommended messaging system for solving big data problems involved in messaging system. Features of Kafka Cluster like scalability, Fault tolerance, High throughput, Durability etc. makes it a leader in today's market in messaging systems. Due to extensive use of Kafka in market today, there is a steep increase in job opportunities. Course Features Online Classes: 15 Hrs There will be 5 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is lifetime. Lab Hours: 25 Hrs Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes. Our 24x7 expert support team is available to help you through Email, phone or Live support for any issues you may face during the Lab Hours. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course. Lifetime Access You get lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes and projects documents are available in the LMS. Also, your login will never get expired. 24 x 7 Support We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock. Get Certified Towards the end of the course, you will be working on a project. Edureka certifies you as an Apache Kafka expert based on the project reviewed by our expert panel. Anyone certified by Edureka will need to demonstrate practical expertise in Apache Kafka. [-]

Big Data Hadoop Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer. [+]

Top Online Courses in Software Engineering in Asia. Course Details Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert instructors will help you: Master the concepts of HDFS and MapReduce framework Understand Hadoop 2.x Architecture Setup Hadoop Cluster and write Complex MapReduce programs Learn data loading techniques using Sqoop and Flume Perform data analytics using Pig, Hive and YARN Implement HBase and MapReduce integration Implement Advanced Usage and Indexing Schedule jobs using Oozie Implement best practices for Hadoop development Work on a real life Project on Big Data Analytics Understand Spark and its Ecosystem Learn how to work in RDD in Spark Who should go for this Hadoop Course? Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain: Developers and Architects BI /ETL/DW professionals Senior IT Professionals Testing professionals Mainframe professionals Freshers Why learn Big Data and Hadoop? Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Mckinsey Report Avg salary of Big Data Hadoop Developers is $135k Indeed.com Salary Data What are the pre-requisites for the Hadoop Course? As such, there are no pre-requisites for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush-up Core-Java skills, Edureka offer you a complimentary self-paced course, i.e. "Java essentials for Hadoop" when you enroll in Big Data Hadoop Certification course. How will I do practicals in Online Training? For practicals, we will help you to setup Edureka's Virtual Machine in your System with local access. The detailed installation guide will be present in LMS for setting up the environment. In case, your system doesn't meet the pre-requisites e.g. 4GB RAM, you will be provided remote access to the Edureka cluster for doing practical. For any doubt, the 24*7 support team will promptly assist you. Edureka Virtual Machine can be installed on Mac or Windows machine and the VM access will continue even after the course is over, so that you can practice. Case-Studies Towards the end of the course, you will work on a live project where you will be using PIG, HIVE, HBase and MapReduce to perform Big Data analytics. Following are a few industry-specific Big Data case studies that are included in our Big Data and Hadoop Certification e.g. Finance, Retail, Media, Aviation etc. which you can consider foryour project work: Project #1: Analyze social bookmarking sites to find insights Industry: Social Media Data: It comprises of the information gathered from sites like reddit.com, stumbleupon.com which are bookmarking sites and allow you to bookmark, review, rate, search various links on any topic.reddit.com, stumbleupon.com, etc. A bookmarking site allows you to bookmark, review, rate, search various links on any topic. The data is in XML format and contains various links/posts URL, categories defining it and the ratings linked with it. Problem Statement: Analyze the data in the Hadoop ecosystem to: Fetch the data into a Hadoop Distributed File System and analyze it with the help of MapReduce, Pig and Hive to find the top rated links based on the user comments, likes etc. Using MapReduce, convert the semi-structured format (XML data) into a structured format and categorize the user rating as positive and negative for each of the thousand links. Push the output HDFS and then feed it into PIG, which splits the data into two parts: Category data and Ratings data. Write a fancy Hive Query to analyze the data further and push the output is into relational database (RDBMS) using Sqoop. Use a web server running on grails/java/ruby/python that renders the result in real time processing on a website. Project #2: Customer Complaints Analysis Industry: Retail Data: Publicly available dataset, containing a few lakh observations with attributes like; CustomerId, Payment Mode, Product Details, Complaint, Location, Status of the complaint, etc. Problem Statement: Analyze the data in the Hadoop ecosystem to: Get the number of complaints filed under each product Get the total number of complaints filed from a particular location Get the list of complaints grouped by location which has no timely response Project #3: Tourism Data Analysis Industry: Tourism Data: The dataset comprises attributes like: City pair (combination of from and to), adults traveling, seniors traveling, children traveling, air booking price, car booking price, etc. Problem Statement: Find the following insights from the data: Top 20 destinations people frequently travel to: Based on given data we can find the most popular destinations where people travel frequently, based on the specific initial number of trips booked for a particular destination Top 20 locations from where most of the trips start based on booked trip count Top 20 high air-revenue destinations, i.e the 20 cities that generate high airline revenues for travel, so that the discount offers can be given to attract more bookings for these destinations. Project #4: Airline Data Analysis Industry: Aviation Data: Publicly available dataset which contains the flight details of various airlines such as: Airport id, Name of the airport, Main city served by airport, Country or territory where airport is located, Code of Airport, Decimal degrees, Hours offset from UTC, Timezone, etc. Problem Statement: Analyze the airlines’ data to: Find list of airports operating in the country Find the list of airlines having zero stops List of airlines operating with code share Which country (or) territory has the highest number of airports Find the list of active airlines in the United States Project #5: Analyze Loan Dataset Industry: Banking and Finance Data: Publicly available dataset which contains complete details of all the loans issued, including the current loan status (Current, Late, Fully Paid, etc.) and latest payment information. Problem Statement: Find the number of cases per location and categorize the count with respect to reason for taking loan and display the average risk score. Project #6: Analyze Movie Ratings Industry: Media Data: Publicly available data from sites like rotten tomatoes, IMDB, etc. Problem Statement: Analyze the movie ratings by different users to: Get the user who has rated the most number of movies Get the user who has rated the least number of movies Get the count of total number of movies rated by user belonging to a specific occupation Get the number of underage users Project #7: Analyze YouTube data Industry: Social Media Data: It is about the YouTube videos and contains attributes such as: VideoID, Uploader, Age, Category, Length, views, ratings, comments, etc. Problem Statement: Identify the top 5 categories in which the most number of videos are uploaded, the top 10 rated videos, and the top 10 most viewed videos. Apart from these there are some twenty more use-cases to choose: Market data Analysis Twitter Data Analysis Where do our learners come from? Professionals from around the globe have benefited from Edureka's Big Data Hadoop Certification course. Some of the top places that our learners come from include San Francisco, Bay Area, New York, New Jersey, Houston, Seattle, Toronto, London, Berlin, UAE, Singapore, Australia, New Zealand, Bangalore, New Delhi, Mumbai, Pune, Kolkata, Hyderabad and Gurgaon among many. Edureka’s Big Data Hadoop online training is one of the most sought after in the industry and has helped thousands of Big Data professionals around the globe bag top jobs in the industry. This online training includes lifetime access, 24X7 support for your questions, class recordings and mobile access. Our Big Data Hadoop certification also include an overview of Apache Spark for distributed data processing. Course Features Online Classes: 30 Hrs There will be 30hrs of Online Live Instructor-led Classes. Depending on the batch you select, it can be: 10 live classes of 3 hrs each over Weekend or, 15 live classes of 2 hrs each on Weekdays. Assignments: 40 Hrs There are hands-on exercises associated with every module in the course. We anticipate that you will spend minimum 40 hours working on assignments to ensure better assimilation of concepts. Edureka will provide the required setup for doing practicals. Project: 20 Hrs At the end, you'll work on a Real-life Project on any of the selected use cases, involving Big Data Analytics using MapReduce, Pig, Hive, Flume and Sqoop Lifetime Access You get lifetime access to the Learning Management System (LMS). You will be able to access class recordings on LMS and lifetime feature shall also benefit you to get the future upgraded versions without paying any extra fee. 24 x 7 Support We have round the clock support available to help you with any technical queries. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. Please be assured! Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Big Data and Hadoop course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Big Data and Hadoop. [-]

Apache Spark Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. [+]

About the Course This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path. Course Objectives After completing the Apache Spark training, you will be able to: Understand Scala and its implementation Master the concepts of Traits and OOPS in Scala programming Install Spark and implement Spark operations on Spark Shell Understand the role of Spark RDD Implement Spark applications on YARN (Hadoop) Learn Spark Streaming API Implement machine learning algorithms in Spark MLlib API Analyze Hive and Spark SQL architecture Understand Spark GraphX API and implement graph algorithms Implement Broadcast variable and Accumulators for performance tuning Project Who should go for this Course? This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for: Big Data enthusiasts Software Architects, Engineers and Developers Data Scientists and Analytics professionals What are the pre-requisites for this Course? A basic understanding of functional programming and object oriented programming will help. Knowledge of Scala will definitely be a plus, but is not mandatory. Project Work Project #1: Design a system to replay the real time replay of transactions in HDFS using Spark. Technologies Used: Spark Streaming Kafka (for messaging) HDFS (for storage) Core Spark API (for aggregation) Project #2: Drop-page of signal during Roaming Industry: Telecom Industry Problem Statement: You will be given a CDR (Call Details Record) file, you need to find out top 10 customers facing frequent call drops in Roaming. This is a very important report which telecom companies use to prevent customer churn out, by calling them back and at the same time contacting their roaming partners to improve the connectivity issues in specific areas. Why learn Apache Spark? In this era of ever growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightening fast big data analysis platforms. The following Edureka blogs will help you understand the significance of Spark training: www.edureka.co/blog/5-reasons-to-learn-apache-spark/ www.edureka.co/blog/apache-spark-with-hadoop-why-it-matters/ Course Features Online Classes: 24 Hrs 8 live classes of 3 hrs each by Industry practitioners. Assignments: 32 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects. Project: 20 Hrs Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course to analyze data. Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects. 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s Apache Spark certificate. [-]

Hadoop Administration Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

Hadoop Administration training course from edureka provides participants expertise in all the steps necessary to operate and maintain a Hadoop cluster, i.e. From Planning, Installation and Configuration through load balancing, Security and Tuning, edureka’s training course will provide hands-on preparation for the real-world challenges faced by Hadoop administrators. [+]

Top Online Courses in Software Engineering in Asia. About The Course Hadoop Administration training course from edureka provides participants expertise in all the steps necessary to operate and maintain a Hadoop cluster, i.e. From Planning, Installation and Configuration through load balancing, Security and Tuning, edureka’s training course will provide hands-on preparation for the real-world challenges faced by Hadoop administrators. The course curriculum follows Apache Hadoop distribution. Course Objectives During the Hadoop Administration Online training, you'll master: Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role Plan and Deploy a Hadoop Cluster Load Data and Run Applications Configuration and Performance Tuning How to Manage, Maintain, Monitor and Troubleshoot a Hadoop Cluster Cluster Security, Backup and Recovery Insights on Hadoop 2.0, Name Node High Availability, HDFS Federation, YARN, MapReduce v2 Oozie, Hcatalog/Hive, and HBase Administration and Hands-On Project Who should go for this course? The Hadoop Administration course is best suited to professionals with IT Admin experience such as: Linux / Unix Administrator Database Administrator Windows Administrator Infrastructure Administrator System Administrator What are the pre-requisites for this Course? This course requires basic Linux knowledge and prior knowledge of Apache Hadoop is not required. edureka also offers a complementary course on "Linux Fundamentals" to all the Hadoop Administration course participants. How will I do practicals in Online Training? Practical Set Up: We will help you set up a virtual machine in your system. For VM installation, 8GB RAM is required. You can also create an account with AWS EC2 and use 'Free tier usage' eligible servers. This is the most preferred option currently as most of the deployments are happening over the cloud and edureka provides you a step-by-step procedure guide which is available on the LMS. Additionally, our 24*7 expert support team will be available to assist you around any queries. Why Learn Hadoop Administration? Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Mckinsey Report Average Hadoop Admin Salary is $123k Indeed.com Salary Data Which Case-Studies will be a part of the Course? Towards end of the Course, you will get an opportunity to work on a live project, that will use the different Hadoop ecosystem components to work together in a Hadoop implementation to solve big data problems. 1. Setup a minimum 2 Node Hadoop Cluster Node 1 - Namenode, JobTracker,datanode, tasktracker Node 2 – Secondary namenode, datanode, tasktracker 2. Create a simple text file and copy to HDFS Find out the location of the node to which it went. Find in which data node the output files are written. 3. Create a large text file and copy to HDFS with a block size of 256 MB. Keep all the other files in default block size and find how block size has an impact on the performance. 4. Set a spaceQuota of 200MB for projects and copy a file of 70MB with replication=2 Identify the reason the system is not letting you copy the file? How will you solve this problem without increasing the spaceQuota? 5. Configure Rack Awareness and copy the file to HDFS Find its rack distribution and identify the command used for it. Find out how to change the replication factor of the existing file. The final certification project is based on real world use cases as follows: Problem Statement 1: Setup a Hadoop cluster with a single node or a 2 node cluster with all daemons like namenode, datanode, jobtracker, tasktracker, a secondary namenode that must run in the cluster with block size = 128MB. Write a Namespace ID for the cluster and create a directory with name space quota as 10 and a space quota of 100MB in the directory. Use the distcp command to copy the data to the same cluster or a different cluster, and create the list of data nodes participating in the cluster. Problem statement 2: Save the namespace of the Namenode, without using the secondary namenode, and ensure that the edit file merge, without stopping the namenode daemon. Set include file, so that no other nodes can talk to the namenode. Set the cluster re-balancer threshold to 40%. Set the map and reduce slots to s4 and 2 respectively for each node. Course Features Online Classes: 24 Hrs There will be 24hrs of Online Live Instructor-led Classes. Depending on the batch you select, it can be: 8 live classes of 3 hrs each over Weekend or, 12 live classes of 2 hrs each on Weekdays. Assignments: 30 Hrs Personal assistance/installation guides for setting up the required environment for Assignments / Projects Project: 20 Hrs Live project involving creation, set-up, troubleshooting, etc. of a multi node Apache Hadoop Cluster. Setup and configure using Pig and Hive, Ganglia configuration and troubleshooting the common Cluster Problems Lifetime Access Lifetime access to the learning management system including Class recordings, presentations, sample code and projects 24 x 7 Support Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion Get Certified Towards the end of the course, you will work on a project. Edureka certifies you in Hadoop Administration course based on the project reviewed by our expert panel. Anyone certified by edureka will be able to demonstrate practical expertise in Hadoop Administration. [-]

HP Certified Software Testing

KBuffer
Online Full time 3 - 4 weeks July 2017 India Chennai

Software testing is a process used to identify the accuracy, completeness, and quality of software. Testing helps to verify and validate if the software is functioning as stated in the specification without any error. [+]

HP Certified Software Testing KBuffer has signed up with HP Software University as an Authorized Training Center. Course Introduction Software testing is a process used to identify the accuracy, completeness, and quality of software. Testing helps to verify and validate if the software is functioning as stated in the specification without any error. Static and Dynamic methodologies are used to test the application. Software Testing should systematically uncover different classes of errors in less time and effort. The data collected through testing can also provide an indication of the software's reliability and quality. So, what is Software Testing? According to Wikipedia, Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs (errors or other defects). KBuffer, is one of the leading of training institute authorized by HP. HP is one of the largest companies across the world and continues to move up the ladder by offering more leading software solutions to run, manage, optimize, and secure customers' enterprise applications and data centers. The HP Software Certification programs prepare students to meet today's increasing challenges with the technical skills required to put you ahead in the Software Testing vertical. HP Software University primarily focuses on imparting training in the Software Testing domain. This includes a course that provides an introduction to Software Testing using Automation Tools and knowledge on Software Testing tools listed below: HP Application Lifecycle Management (ALM) HP Unified Functional Testing (UFT) HP LoadRunner (LR) HP Virtual User Generator (VuGen) Who can attend? Any Graduate or even Undergraduate. Where can be placed? HP has agreed to take the cream of candidates trained under this scheme themselves. In addition to that they will recommend these candidates to their clients and Other IT Majors. [-]