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As human life evolved from the Industrial to the Information eras, our reliance on technology and information grew. As a result, engineering and allied sciences have reached unprecedented heights.
We have come a long way from a labour-intensive and time-consuming economy to a creative one based on science, information and communication technology. As a result of our insatiable hunger for knowledge and information, the demand for technologically advanced networks and gadgets has skyrocketed, widening the scope of engineering in the coming years.
Machines perform many repetitive. Artificial intelligence and machine learning have permeated every aspect of life. Check your phone. Do you have Upstox? You might have observed that its recommendations can assist you in correctly investing your money. Everything is the magic of machine learning.
However, machine learning is not limited to the financial sector. It impacts every area, including banking and finance, information technology, media and entertainment, gaming, and the automobile industry. Take another example. Companies developing self-driving systems rely heavily on artificial intelligence, machine learning and deep learning to manage tremendous volumes of data to train and evaluate their autonomous driving systems. According to Carsurance, the worldwide self-driving car sector grows by 16% every year, corroborating the scope of this field of engineering in the future.
From self-driving cars to Sophia, and from quantum computing to computer vision, Machine Learning has a huge role in the engineering field in the years to come. Capitalise on this enormous scope by enrolling in Machine Learning and AI courses by Skill-Lync. If you are thinking, "how are courses at Skill-Lync"?; then it is the best in the industry. Coming to Machine Learning, you can do courses like Advanced Deep Learning using Python, Machine Learning Fundamentals In-Depth, Python for Mechanical Engineers, etc.
Come to health. The overarching purpose of biomedical engineering is to improve human health and healthcare systems. By combining the power of technology and biomedicine, biomedical engineers create a variety of life-saving medical devices, expanding the scope of the engineering field in the future. Moreover, they ensure that these cutting-edge medical gadgets are both practical and safe in their functions, demonstrating the tremendous potential of biomedical engineering, now and in the years to come.
Take a few examples:
Thinking, "is Skill-Lync good for learning biomedical engineering"? It is a big yes! Skill-Lync has partnered with the Andhra Pradesh MedTech Zone (AMTZ) to offer a 12-month Medical Technology curriculum that includes a 2-6 month internship.
Robotics is a vast topic that allows engineers of different disciplines to develop and better their lives by using efficient equipment. Robotic science as a career path is promising as robots are critical in the industrial sector. They aid in manufacturing and have a variety of applications in nuclear science, maritime exploration, biomedical equipment design, modern warfare, surgery, nanotechnology, and space exploration, to name a few. But what does robotics engineering have in store for the future? Let us take a few examples:
Computer engineers deal with designing, testing, implementing, and maintaining computer hardware and software. Engineers who work in computer science engage in a variety of computer-related activities. They handle individual microprocessors, personal computers, supercomputers, and the circuits and software that run the computers. The field of information technology is expanding rapidly in India, substantiating the colossal scope of this engineering field in the future.
The global cost of cybercrime was around $6 trillion in 2021, more than Japan's GDP (PPP). With such an increase in cyber-attacks, computer engineering has an unprecedented scope in future.
Are you thinking, "how is Skill-Lync for computer science PG courses"? If so, Skill-Lync offers a plethora of career-focused courses in Computer Science. They provide sophisticated courses in various domains like Data Science, Cyber Security, Software Development, Autonomous Vehicles, etc.
Conclusion
At its foundation, engineering is a problem-solving profession. They are not going away anytime soon, for better or worse. One thing is unquestionable. The engineering landscape of the future will be substantially different from what we see today. It is impossible to envisage a world without technology today without marvelling at its impact on people.
Engineering is a broad field with many opportunities in future. It provides a fertile ground for developing research skills and offers the necessary impetus for emerging scientists to drive innovation and novel designs of new technology and devise new methods for using existing technology.
Author
Anup KumarH S
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