You would have encountered them in some form or the other, the Debbie Downers, the Lazy Larrys and other clock-watchers, who cannot wait to get out of the office as soon as they walk in. For them, coming into work on any day of the week is like a Groundhog Day version of coming in to work on a Monday morning after a long weekend. While they go through the motions of being employed, their actual motivation of coming in to work is almost non-existent, and, at best, ambiguous.
Members of this breed of office dinosaur are vehemently resistant to any type of change. So forget asking them to brush up on their skills and learn something new. What’s worse, they even try to pull down those around them, who are enthusiastic to explore newer skills, options and technologies.
While the present day is not much like the future envisioned in the 1985 hit Back to the Future – we have yet to encounter flying cars, though we do have self-driving ones – it is a reality that technology is rapidly transforming our world as we know it. Today, digital, automation and Artificial Intelligence are more than just buzzwords; in fact, they are playing a key role in how organisations across the world are doing business.
In such a scenario, upskilling and reskilling across the board become paramount and employees need to keep pace with the rapidly-evolving workplace. Some of these new-age tech skills essential to survive in today’s digital first economy are Business Analytics and Data Science, Artificial Intelligence and Machine Learning, Cloud & DevOps and Cybersecurity.
You can always tune into the thousands of online videos that claim to make you an expert in an unbelievably short time (after all, who doesn’t like freebies?) Or you can opt for one of the many classroom courses available in the market today.
But it is important to note that in order to understand, in depth, how these skills are actually utilised on ground, you definitely need some hands-on experience. You need experts from the industry who can take you through these topics, and you need to have the opportunity to get hands-on experience of working on actual industry projects.
So, for those serious about getting ahead in their career, a comprehensive course focusing on new age tech skills such as Analytics, Data Science, Big Data, Machine Learning, Artificial Intelligence, Cloud Computing, DevOps, Full Stack Development and more, coupled with ample industry experience and perspective, is the better option.
You can find such courses at Great Learning. Their programmes are taken by thousands of professionals globally, who build competencies in these emerging areas to secure and grow their careers.
You need to have a working knowledge of technology, and a basic programming background would also be good to have.
Their success metrics thus far have been truly impressive. Every month, their alumni achieve rewarding career transitions in Data Science, Artificial Intelligence, Machine Learning, Deep Learning and Cloud Computing roles. McKinsey, Amazon, Samsung R&D, Deloitte, BNP Paribas, Capgemini, NASSCOM, Zomato, Swiggy and Cleartrip are just some of the corporates that reach out to them to hire talent. Their alumni include Data Scientists, VP/Directors of Data Science, Heads of Machine Learning, Heads of Corporate Strategy, Operations Managers, Directors of Engineering, Principal Consultants, Solution Architects and people in other pivotal roles in leading global organisations. They claim that 66 percent of their alumni transition their career within 12 months of the programme. Their younger alumni, in the 2-6 years’ experience bracket, are also known to receive well over 50 percent raises.