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Beginner's guide to upskilling

In another story on this site, we highlighted the need for IT professiojnals to u update their skills to  avoid losing their jobs  in these difficult times.  An expert  in  mid career up-skilling, shows you how.  Good luck
By  Lovleen Bhatia,Co-founder and CEO, Edureka
Bangalore, June 2 2017:  So what are some of the future-proof technologies that can help you keep your jobs? Currently, three kinds of jobs are under threat:

  1. Manual testing jobs
  2. Administration jobs
  3. Jobs that deal with outdated technologies

Automation is inevitable! Manual testing is being replaced by automation testing. You no longer need to sift through thousands of lines of code to identify bugs. The software will do it must faster and with greater efficiency. If you are a tester, it is mandatory and not an option for you to learn these tools if you still wish to continue your career as a tester. Tools like Selenium can go a long way in upgrading your testing career and secure your job for a reasonable time. In short, we must admit the fact that machines will replace humans. The only humans that will survive are the ones who operate the machines.
IT administration jobs are being replaced by intelligent tools as well. Concepts like continuous monitoring and real-time fault-tolerance are fundamentally changing the way IT is being monitored and administered. This has again led to a pressing need for professionals in this area to up-skill in these new technologies. An all new development methodology called DevOps is transforming the way coders, administrators and operations teams work these days and up-skilling in DevOps is a great option these days.
The AI and IoT opportunity
With the proliferation of social data and connectivity devices, machine learning and artificial  intelligence are  today among the hottest technologies around. Managing and deciphering humongous amounts of data, and statistically uncovering insights from them is the most valuable thing you can do to any organization today. Up-skilling yourself in data science, programming languages like R and Python, data analytics and of course, AI and machine learning algorithms, will greatly help secure your career.
The breakneck pace of innovations in AI, Virtual Reality  and Internet of Things has posed a huge challenge – the need for trained personnel to effectively create and maintain these solutions. This translates to two things – an urgent need for skilled professionals who understand data and are able to manipulate data and two, hardcore tech skills that form the backbone of innovations.
Data is king!
While data science and programming competencies are invaluable skills to have a flourishing career in new-age tech, specific skill sets such as Tensor Flow, a software library which Google claims to provide ‘superpowers’ in the world of machine learning, are emerging as game-changers. The fundamentals of VR, AI and IoT are data and how effectively you can create and leverage user-generated data. Hence, any skill that allows you to better analyse, manage and process data is your red-carpet to a better career. Of course, depending on the quantity of data, big data skills can come in handy.

 

 




    


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