Despite the fact that India's economy is among the fastest-growing in the world, it is clear that in order to compete with the rest of the world and maintain our competitive edge, we will need to develop and embrace new employment-generating sectors.
Our rising young population is desperate to find work in fields that effectively utilize their skills in Technology. Artificial Intelligence and Machine Learning, Robotics, or Data Science are some of the most promising disciplines for engineering aspirants to pursue a career that is both innovative, inspiring and high-paying. B. Tech Artificial Intelligence and Machine Learning in Computer Science engineering is one of the most sought-after degree programs among students.
What is the Future of AI and ML in India?
The future of Automation technology holds many gifts for young generations and the industry is growing by leaps and bounds with every passing year, generating millions of jobs with a chance to excel in innovative technology that is shaping the future of engineering education.
B. Tech in Artificial Intelligence and Machine Learning imparts the ability to create self-learning computer programs and AI software, leading to exceptional production and unmatched customer satisfaction. The specialization of Artificial Intelligence in B. Tech CSE program includes topics like robotics, automation, Operating system, etc., that allows CSE aspirants to compete on the global level.
Where to pursue B. Tech in AI and ML?
The majority of educational institutes in India, including Indian Institute of Technology agree with the idea of emphasizing on technology education. Many leading B. Tech in Artificial Intelligence and Machine Learning institutions in Delhi NCR and Greater Noida have reinvented their training program for artificial intelligence and machine learning.
Less theory and more practical classes are the main focuses of their learning methodology, which also offers live project assignments, AI-based resume preparation, and mock interview training to support students in their final professional battle.
What is Deep Learning?
It's not wrong to say that deep learning is a subset of machine learning that makes an effort to replicate human brain networks, doing away with the need for pre-processed data. Large amounts of unstructured data can be consumed, processed, and analyzed by deep learning algorithms without the need for human intervention. A deep learning algorithm can develop over time, just like other types of machine learning.
Deep learning is now being used in the development of computer vision, facial recognition, linguistic communication processing, and image search. Role of AI and ML in our Daily Life The electronic devices we use on a daily basis, such smart speakers (Alexa), mobile devices with face recognition, AI cameras, and so on, are some of the most recent examples of how AI's capabilities are improving.
However, AI has a great future ahead in the other facets of our existence and way of life. For instance, the creation of "Smart Cities" is currently a major focus in India and is also a project of the Central Government.
In a variety of ways, artificial intelligence is assisting engineers and computer professionals in bringing this project to life, including:
Precision medicine uses AI to anticipate which treatment protocols will be more effective for patients depending on their characteristics and the course of their treatment.
Telecommunication Machine learning is gradually being implemented in the telecommunications sector among other things, to optimize the deployment of the 5G network, improve customer experiences, and acquire insight into consumer behavior. In fact, 66% of telco firms anticipate employing enterprise open source for AI/ML during the next two years, compared to only 37% presently, according to our State of Enterprise Open Source research published in early 2021.
Most of these companies rely heavily on major institutions for recruitment of B. Tech in Artificial Intelligence and Machine Learning graduates. Insurance In the insurance sector, AI/ML is utilized for a number of works, such as to send use-based insurance services and automate claims processing.
Machine learning is a component of insurers' efforts to upgrade their basic systems, which the majority of them say is essential to distinguishing their offerings in a crowded market. Financial Services Similar to other industries, financial services are adopting AI/ML to update and enhance their products, especially to personalize customer care, enhance risk analysis, and more effectively spot fraud and money laundering.
The capabilities of machine learning are anticipated to strengthen fraud detection models and aid in the optimization of bank service processing as the amount of data that financial institutions must manage continues to increase. Automotive With the introduction of electric and driverless vehicles, predictive maintenance models, and a wide range of other chaotic tendencies throughout the industry, the automobile industry has experienced a tremendous amount of change and disruption in recent years. Of course, a significant portion of this change is due to AI/ML.
For instance, it plays a crucial role in the automated car businesses of the BMW Group. Energy With new methods of producing, storing, delivering, and consuming energy, energy providers around the world are likewise going through an industry transition. Concerns about the global climate, market forces, and technological advancements have also significantly altered the landscape.
The energy sector is already utilizing AI/ML to create intelligent power plants, optimize costs and consumption, create predictive maintenance models, increase safety and energy exchange, and optimize field operations. Job Opportunities in AI and ML Sector Since most industries and companies in India are now heavily reliant on communication to drive their digital transformation, artificial intelligence (AI) or RPA is quickly developing AI chatbots to improve the flow of information between customers and service providers and provide consumers with a highly customized experience. With entry-level positions earning up to INR 700,000 per year, artificial intelligence is also one of the highest-paid technology pay areas in India. The
following are a few examples of AI jobs in development, testing, training, and support:
With the aid of highly qualified resources, the industries will need people to manage the artificial intelligence system, analyze implementation and execution protocols, and mechanize robots. With the AI revolution being led by organizations with a significant presence in India, including Accenture, Infosys, Cognizant, General Electric, CISCO, and Amazon, it is likely that many of these positions will eventually be open to qualified candidates there.
In order to produce talent that can be hired and made employable, businesses also place a lot of reliance on B. Tech Artificial Intelligence and Machine Learning colleges and institutions. Conclusion Earn your degree in B. Tech in Artificial Intelligence and Machine Learning from the top engineering college that provides the newest technological advancements in the field to its students interested in the Artificial Intelligence course. You may advance your profession and ensure a prosperous future for yourself with the aid of artificial intelligence colleges in Greater Noida.