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Machine Learning is the subset of Artificial Intelligence. It helps to build automated systems by making them to learn by themself. Therefore, the system enhances its performance by learning from experience without any human intervention. This helps the machines make data-directed choices. Whatever the machines learn from past experience using the available data, the machines use it to make predictions. For example, a mobile application suggest you the nearest hospital with available facilities, distance and time to reach based on traffic on the route in case of some emergency. This is accomplished by using Machine Learning algorithms.
The scope of Machine Learning is as mentioned: banking and finance, information technology, media & entertainment, gaming, production, investment sector, sales & marketing, agriculture sector, automotive industry, computer vision, robotics and quantum computing is very high. After completing B.Tech. in AIML, engineers can hold following positions i.e. Artificial Intelligence Engineer, Machine Learning Engineer, Deep Learning Engineer, Big Data Engineer, Data Scientist, Business Intelligence Developer, Research Scientist, AI Data Analyst, Robotics Scientist in leading giants like Apple, Amazon, Google, Facebook, Clarifai, Anki, DJI and Deepmind who are the top recruiters hiring graduates with skills in AI and ML.
The scope of Machine Learning in India, as well as in other parts of the world, is high in comparison to other career fields when it comes to job opportunities. According to Gartner, there will be 2.3 million jobs in the field of Artificial Intelligence and Machine Learning by 2022. Also, the salary of a Machine Learning Engineer is much higher than the salaries offered to other job profiles.
According to Forbes, the average salary of a Machine Learning Engineer in the United States is US$99,007. In India, it is ₹865,257.
JEE Exam & Online Counseling- The candidate from MP must have passed 10+2 Exam from Madhya Pradesh Board or any other Board with Physics, Chemistry as the main subjects and Mathematics/ Biology/ Biotechnology as one of the optional subjects, with minimum 45% marks for General category candidates and 40% in case of SC/ST candidate.
The candidate from other states must have passed 10+2 Exam from any recognized board with Physics, Chemistry as the main subjects and Mathematics/ Biology/ Biotechnology as one of the optional subjects, with 45% marks for General category candidates as well as SC/ST candidate. The candidate who has not given JEE exam but fulfils above criteria may also go for online counselling in the 2nd phase of counselling. Direct Admissions based on 12th results (College level Counseling)- The Candidate must have passed 10+2 Exam from Madhya Pradesh Board or any other Board with Physics, Chemistry as the main subjects and Mathematics/ Biology/ Biotechnology as one of the optional subjects, with minimum 50% marks for General category candidates and 45% in case of SC/ST candidate.
Dr. Rahul Shrivastava
Assistant Professor & Program Lead
1). What is intake for B.Tech AI and ML?
The Intake for B.Tech AI and ML is 30 students.
2). What are the eligibility criteria for B.Tech AI and ML?
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies from any recognized Board with a minimum of 45% marks or equivalent grade (40% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
3). What are employment opportunities after completion of B.Tech AI and ML?
There are huge opportunities for different positions after successful completion of undergraduate and postgraduate programmes. Some of these opportunities are listed here
4). Any Industry Collaborations for B.Tech AI and ML ?
Yes. We are in collaboration with NASSCOM under its Future Skills Program for conduction of few courses. Collaboration with other companies is also in progress.
5). What are the possibilities of a placement in a good MNC company?
Some of the biggest recruiters of AI professionals in India are Fractal Analytics, Deloitte, IBM, Accenture, Amazon, LinkedIn, Citrix, Verizon, SAP Labs, Nvidia, Tech Mahindra, Flipkart, and Myntra. SISTec is associated with eminent companies such as Amazon, Accenture, SAP Labs, TCS, Adobe, Xalt, Praemineo, Prudent, Artech Solonics, Intuit CDK Global , and many more. So students have very good opportunities to get placed in such companies for their bright future endeavors.
6). What is the salary of artificial intelligence and machine learning engineer in India?
Artificial Intelligence Engineer salary for freshers in India starts at around Rs. 6 LPA and can stretch up to Rs. 12 LPA, with higher-end salaries usually offered by reputed companies like Amazon, Flipkart, Google, Facebook, etc. As for Machine Learning roles, the starting salary for freshers is generally Rs. 8 LPA, and it can go up to Rs. 10-15 LPA, depending upon the job role, skill set, and educational background. Candidates who have strong foundational knowledge in Data Science and a few years of work experience can earn as high as Rs. 17 LPA.
7). Why are Artificial Intelligence technologies the talking point in the world today?
In ancient times, devices such as desk computers were not capable of doing high-level computations which were required to run machine learning applications. However, now, along with the availability of machines, these algorithms are capable of doing high-level computations and automate various processes. Furthermore, current algorithms such as Chatbots are intelligent enough to handle communication with clients, perform critical tasks, banking transactions, etc.
8). What role AI will play in empowering industries?
In recent times, with the advent of technologies such as Industry 4.0, Healthcare 4.0, smart cities, smart buildings, etc, AI has a major role to play in changing the functioning of current industries. However, decision making roles will still be handled by humans with the help of AI tools.
9). How B.Tech in CS and AI/ML are linked or different from each other?
Artificial Intelligence is a part of Computer Science. Also AI is a subset of Computer Science. The theories and practices of computer science are always used for developing Artificial Intelligence Systems. The key differences between Computer Science and Artificial Intelligence are:
Both CS and AI have scopes in market today. But AI is the future and it would have more scope in coming days. If we talk about software engineering, the sub-problem solutions are correct, however, it is not the same in machine learning — you find errors and the aggregate results can be dismay. Machine learning needs you to have a solid foundation in mathematics and statistics. However, software engineering is usually the default route most people often fall victim of. But the degree definitely prepares you for the bigger picture. Also, being a software engineer does not prevent you from becoming a machine learning engineer. Machine learning engineers think on these lines —space of models, deployment, and the impact. In a nutshell, the world needs software engineers as much as they need machine learning engineers. Both the job roles need to work symbiotically with each other.
10). How would you explain machine learning to a software engineer?
Software engineering is about developing programs or tools to automate tasks. Machine learning is all about automating automation! Machine learning is about finding the optimal instructions to automate a task. Machine learning algorithms are instructions for computers to learn other instructions automatically from data or experience. Therefore, machine learning is the automation of automation.
11). Why is AI a hot topic today?
A lot of things have aligned to make this an exciting time for major advancements in AI. Processing power has improved at an amazing rate — there’s been a trillion- fold increase in performance over the last 60 years. • The cost of data processing has become more affordable. • There’s more data that needs to be analyzed because businesses are capturing more signals from customer interactions.
12). I have heard about AI. What is it exactly?
Artificial Intelligence (AI) is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language. While no one is expecting parity with human intelligence today or in the near future, AI has a big application in our day to day lives. The brain behind artificial intelligence is a technology called machine learning, which is designed to make our jobs easier and more productive.
13). What are the key highlights of B.Tech AI and ML course at SISTec?
14). Whether the student will have an internship during this course?
Yes.
15). Colleges Offering B.Tech. in AI & ML?
