1. DevOps

DevOps is a combination of software development (Dev) and information techonology operations (Ops). DevOps is a set of software development practices that aim to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with business objectives

  1. Big data Hadoop

Big Data and Hadoop are not the same as many of those think. Big Data is the actual problem and Hadoop is one of the solution for handling the big data which is used by the companies and other social media networks.Big Data and Hadoop are the trending things currently in the IT environment. More and more people are taking up these certifications to scale up to the latest trend and upgrading themselves with the latest technologies

  1. Phyton Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.

  1. Data Sciencetist

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data.

  1. Machine learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task

  1. Artificial intelligence

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include Speech recognition, Learning, Planning, Problem solving

  1. RPA Tools

RPA systems develop the action list by watching the user perform that task in the application’s graphical user interface  (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose. RPA tools have strong technical similarities to graphical user interface testing tools. These tools also automate interactions with the GUI, and often do so by repeating a set of demonstation action performed by a user. RPA tools differ from such systems including features that allow data to be handled in and between multiple applications, for instance, receiving email containing an invoice, extracting the data, and then typing that into a book keeping system.

  1. AWS Certification

In the era of cloud, enterprises and businesses are racing to develop use cases that depend on cloud platforms and one such cloud computing platform, AWS has cornered a global market share of 40 percent. And IT professionals who want to learn about AWS to maximize their company’s  cloud environment and avoid skills gaps can get hands.

  1. Tableau

Tableau is a software company headquartered in Seattle, Washington, United States that produces interactive data visualization products focused on business inteligence.

  1. Digital Marketing Analytic

Digital marketers who can understand their customer data, derive insights from analytics and create a compelling digital strategy and measure the ROI achieved against the KPIs. There is a need to go beyond the metrics and numbers and understand key topics such as website optimization and social media analytics.