Why a career in B.tech CS AI ML vs B.tech Nanotechnology Engineering?
Since we are living in the age of technological advancements there is an exponential growth rate in the technical aspects of every field. For students taking their admissions in the 21st century, they need to keep this factor in mind …
Since we are living in the age of technological advancements there is an exponential growth rate in the technical aspects of every field. For students taking their admissions in the 21st century, they need to keep this factor in mind while choosing their career options, and thus AI ML is a widely used technology impacting our lives in every sector there are tremendous job opportunities available in the field of AI ML.Â
Artificial intelligence or AI simply means the software used by computers to mimic aspects of human intelligence. For example, a program that recommends what you should read based on books you’ve bought or a robot vacuum that has a basic grasp of the world around it. Machine Learning (ML) is commonly used along with AI but it is a subset of AI. ML refers to an AI system that can self-learn based on the algorithm. Systems that get smarter and smarter over time without human intervention is ML. The two major categories of nanotechnology are nanoscale technology and Molecular manufacturing Whereas, Nanotechnology Engineering is the study of the phenomena that take place in the nanometer scale, which is used for designing, characterization, production of materials, devices and systems. It has a very significant impact on the society as it is used in many vital fields like medicines, communication and information sectors, it is used in formation of cosmetics, textile and, food and energy technology.Â
But with Artificial Intelligence coming into spotlight many critical activities are done with help of AI. Even many multi-faceted activities like measuring the scale of materials to be used in any formation of medicine or any kind of substance. With the help of AI nanotechnology can me more powerfully crafted to control air-pollution as AI is designed for Human assistance and even mimic human activities. This is a four-year full-time degree program. This program solely focuses on practical-based training. This course is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.
- Career Path in CS AI MLÂ
- industry Led CurriculumÂ
- High Payroll JobsÂ
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B.tech Nanotechnology Engineering
- ScientistÂ
- Medical Researcher/ScientistÂ
- Food scientistÂ
- EngineerÂ
- Manufacturing Industries Â
- BiotechnologyÂ
- Â Pharmaceuticals
B.tech CS AL ML
- AI/ML AnalystÂ
- Robotic ScientistÂ
- BI DeveloperÂ
- Software Developer or Python DeveloperÂ
- Speech ScientistÂ
- Image processing EngineerÂ
- ResearcherÂ
Why choose Nanotechnology Engineering?
- If you are interested in the innovation of nanotechnology which includes textiles, introducing stronger materials, better medicines, and faster computers you can definitely opt for the course.Â
- It takes high coordination skills other engineers as well. It is surely a tough branch.Â
- The demand of Aeronautical engineer is good in private as well as public sectors.Â
- Specified work domainsÂ
- High competitionÂ
Why choose CS AI ML Engineer?
- While since we are living in the age of technological advancements there is an exponential growth rate in the technical aspects of every field.Â
- AI ML is a future skill specialization with the core branch as Btech CS only. So, student will learn about CS languages along with AI ML Technology, its applications and add on subjects.Â
- Impressive Salary.Â
- Extremely high demanding industryÂ
- Different work opportunities.Â
B.tech Aeronautical vs CS AI ML – A Comparison
Point of reference | B.tech Nanotechnology | B.tech CS AI ML |
Salary | Good Growth | Continuous and appreciable Growth |
Work Opportunities | High competition  | Limited yet demanding |
Education and Training | Only top Engineering colleges provide quality education and training. | Extensive training, certifications, and different career opportunities |
Placements | Uncertainty of placement in desired job roles, best placement offered only from top universities only |  Rapid and Competitive Placements post-completion of the course.Â
 |
Career Growth | Subtle | Rapid Growth because of high demand CS AI ML. |
Career Profile | It is really difficult to have a diverse career profile as the aviation and aeronautical industry profile. |  Diverse and attractive job profiles in different domain industries. Almost every industry needs AI ML.Â
 |
Job Market | Limited Expansion in India | Continuously Expanding globally.Â
 |
Ease of Switching job roles | Comparatively fewer opportunities as selected industries. |  As different domain demands AI ML, multiple opportunities emerge to switch roles and industriesÂ
 |
Work Environment | Extensive research and critical thinking are required to implement new ideas. |  Accelerated growth with innovative approach. |
FACTORS CS AI ML ACKNOWLEDGES IN TODAY’S INDUSTRY
CS AI ML – A new wave
Computer Science gives an expanding knowledge of programming languages. Artificial Intelligence (AI) and Machine Learning (ML) are one of the most transformative technologies today and have the potential to completely disrupt the industry today. It is necessary to understand the basic concept of this fast-evolving field and the dynamic opportunity it will bring. Also, one must understand and infer this technology in different fields of career and business.Â
One of the most prominent colleges offering CS AI ML courses in India is Jagran Lakecity University, Uttarakhand.Â
Prominent colleges offering Btech CS AIMl
Jagannath University (JIMS Rohini)|Jagran Lakecity University
B.tech CS AI ML Job and Key Takeaway
CS AI ML has had tremendous growth since 2016 and continues to increase beyond 2022. Impeccable economic impact is visible by 2025. AI has created more impact than the invention of personal computers. AI helps machines to observe and learn what is happening around them so that machines could simplify human tasks in every industry and domain of work. Even can expect a high-ranking salary with continuous growth, an experienced engineer can expect salary from 11 LPA.