The Fourth Industrial Revolution is afoot, and at the forefront of this sea change are Artificial Intelligence, or AI, and Machine Learning, or ML. These modern technologies are rebuilding industries, shaping the global economy, and changing the way one lives, works, and interacts.
A promising future for students pursuing their Bachelor of Technology in AI and ML at leading B.Tech AI & Machine Learning colleges lies ahead.
In this blog, we will get to know how B.Tech in AI and ML can open a new world of possibilities regarding the skills you develop, career paths that one can engage in, and industries embracing AI and ML.
A Glimpse into what is AI and ML:
Artificial intelligence refers basically to the performance of machines that can simulate human intelligence. It would, therefore, involve designing algorithms that essentially give a machine the capability to do those things that otherwise would have required human intelligence, such as recognizing speech, decision-making, problem-solving, and translation of languages.
Machine Learning is a subset of AI that involves the training of machines to learn from data and improve their performance over time with no explicit programming. ML allows machines to analyze huge volumes of data, recognize patterns, and predict events or make decisions.
What is B.Tech in AI and ML about?
The B.Tech in AI and ML is a highly specialized undergraduate program that would concentrate on the study and building of skills in intelligent systems and data-driven solution development. It integrates foundational computer science, mathematics, and analysis with cutting-edge AI and ML techniques.
This course at top B.Tech AI & Machine Learning colleges enables the student to design algorithms, train models, and work on big data for developing applications related to automated systems, predictive analytics, and smart technologies, among others.
Here is further course information.
Course Information on B.Tech in AI and ML:
| Course Name | B.Tech in Artificial Intelligence and Machine Learning |
| Duration | 4 years |
| Eligibility Criteria | The required eligibility criteria to pursue a B.Tech in Artificial Intelligence course are as follows:
● Candidates should be a minimum of 17 years of age. ● Candidates should have completed 10+2 with physics, chemistry, and mathematics as compulsory subjects. ● Candidates should have scored a minimum of 55% aggregate score in 10+2. |
| Admission Procedure | Admission to a B.Tech in Machine Learning course happens based on a 10+2 score or entrance exam scores such as JEE MAINS, etc based on the chosen college. |
Moving forward let us explore the top aspects of B.Tech in Artificial Intelligence that make this course worth pursuing.
Top Reasons to Pursue B.Tech in AI and ML Course:
A B. Tech in Artificial Intelligence and Machine Learning is one of the most sought-after courses taken nowadays since AI and ML are spreading their wings fast in most industries. Some of the strong reasons to do B. Tech in Machine Learning and AI are as follows:
High Demand for Professionals in AI and ML:
As per data, job postings based on AI and ML have surged by more than 75% in recent years, and it is believed that this growth will continue.
As organizations across the world realize the enormous potential of AI and ML, the requirement for professionals in these fields is spiraling upwards. This raises an ever-higher demand for qualified professionals who can create AI-powered solutions and improve company operations.
Lucrative Career Opportunities:
Professionals in AI and ML earn among the highest salaries in the tech industry. This course opens many good positions that include good pay. The salary of an AI professional varies concerning experience, location, and job role, but overall, the median salary is often much higher compared to other engineering fields.
Some of the top career opportunities after B.Tech in AI and ML at leading University in Mumbai and elsewhere are as follows:
| Job Roles | Average Salary in India(INR) | Average Salary Abroad(considered US/USD) |
| Computer Vision Engineer | 6.9 LPA | 120,847 |
| Data Analyst | 6.24 LPA | 70,676 |
| Algorithm Engineer | 6.0 LPA | 127,968 |
| Research Engineer | 8.45 LPA | 88,185 |
| Data Scientist | 7.3 LPA | 124,693 |
| Data Engineer | 8.4 LPA | 128,631 |
| Machine Learning Engineer | 6.7 LPA | 150,186 |
| Big Data Architect | 24 LPA | 160,149 |
| Business Intelligence Developer | 6.3 LPA | 100,635 |
| Robotics Programmer | 3.45 LPA | 75,689 |
| Software Engineer | 6.94 LPA | 108,807 |
| Video Game Programmer | 4.4 LPA | 65,756 |
| Application Developer | 6.06 LPA | 84,156 |
| Information and Multimedia Designer | 3.5 LPA | 56,792 |
| Medical Information Scientist | 5.0 LPA | 103,784 |
| IT Specialist | 7 LPA | 58,700 |
| Information Network Manager | 7.88 LPA | 85,892 |
Cutthroat Research and Innovation:
The field keeps on evolving, and there have been several developments and innovations in the area under consideration.
With a degree oriented in this domain, you get a very good opportunity to work on state-of-the-art research, and new models of AI, and create new developments that could bring about a change in the face of the earth.
Multidisciplinary Applications:
AI and ML are not restricted to any particular industry, but their applications span a wide range of industries: healthcare, finance, retail, manufacturing, automotive, education, and entertainment. That means AI and ML graduates can work in different industries and be a part of solving projects that impact the lives of millions of people.
Solving Real-World Problems:
The power of AI and ML is huge, ranging from disease diagnosis via the forecast of natural catastrophes to supply chain optimization. As a professional in AI and ML, you will be capable of developing systems that improve societal challenges and leave a positive dent in the world.
These are the top reasons to consider pursuing a B.Tech in AI and ML at the best university in Maharashtra and other states.
Conclusion:
In conclusion, a B. Tech in Artificial Intelligence and Machine Learning at the leading B.Tech AI & Machine Learning colleges will be more than just a simple degree; it will serve as a pass into a great vast future of opportunity and potential.
Considering the fact that AI and ML are gaining great prominence in shaping the world, in turn, with this degree, one will be empowered to contribute toward the technological revolution, solve real-world challenges, and build a rewarding career in one of the most dynamic and impactful fields of our time.
FAQs:
- What skills are required for AI and ML?
- Clear programming knowledge
- Machine learning ideas
- Coding skills
- Good mathematical skills
- Is it tough to study AI?
Studying AI is not tough but requires dedicated attention as even top experts find understanding AI concepts difficult.
- Is it good to do B.Tech in AI and ML?
Yes, it is highly worth getting a B.Tech in Artificial Intelligence and Machine Learning from leading colleges as the scope for proficient professionals in this advanced yet rewarding stream of engineering is growing rapidly.
- What is the salary of B.Tech AI and ML in India?
The average salary of B.Tech AI and ML in India ranges from INR 5 LPA to INR 11 LPA.
