What is BTech Artificial Intelligence and Machine Learning Engineering: Course, Scope, Career, Admission & More

What is BTech Artificial Intelligence and Machine Learning Engineering All About?

The field of artificial intelligence offers a unique opportunity for professional advancement. Today, there is a rising fear that artificial intelligence will replace many of the occupations currently held by humans. We have no control over where history is taking us. The employment market is always changing, but we have the ability to adapt to these changes in our own lives. While it is true that AI would eliminate a large number of professions, AI will still require its own development, upkeep, and marketing. In the future, courses in artificial intelligence will be a lifesaver.

Code writing is a requirement for students pursuing BTech in Artificial Intelligence and Machine Learning. As a result of this coding, the machine is able to complete jobs with minimal manual involvement, according to their claims.

Students in the curriculum learn the languages that may be used to enter data into the machines so that they can communicate with the machines themselves. Some of the computer languages covered in this course are Prolog, Lisp, JAVA, and Python.

BTech Artificial Intelligence and Machine Learning Engineering: Course Highlights

  • In India, B.Tech programmes in Artificial Intelligence are available. An M.Tech programme is also an option for those who want to learn more about AI’s complexity.
BTech Artificial Intelligence and Machine Learning Engineering Course Level Undergraduate
BTech Artificial Intelligence and Machine Learning Engineering Course Duration 4 years
BTech Artificial Intelligence and Machine Learning Engineering Course Examination TypeEntrance or Merit-based
BTech Artificial Intelligence and Machine Learning Engineering Course EligibilityApplicants qualifying their 10+2 exam from a recognised Board and Science stream (Physics and Mathematics compulsory subjects) are eligible
BTech Artificial Intelligence and Machine Learning Engineering Course Admission ProcessApart from passing the senior secondary exam, you also need to pass the entrance test of the institute of your choice.
BTech Artificial Intelligence and Machine Learning Engineering Course Major Entrance Exams 
BTech Artificial Intelligence and Machine Learning Engineering Course Fee 1 lakh to 1.5 lakh rupees per annum
BTech Artificial Intelligence and Machine Learning Engineering Course Average Salary Between 10 LPA to 15 LPA
Top Hiring Companies for BTech Artificial Intelligence and Machine Learning Engineering Course Graduates Oracle, Wipro and TCS

BTech Artificial Intelligence and Machine Learning Engineering: Eligibility Criteria

There are basically two ways to get into the course you’re interested in. It is possible that an institute may administer an entrance exam or that it will evaluate the merit of applicants based on their 10+2 matriculation test results. Some schools only administer their own admission tests, which are only intended to determine who gets a spot in a particular programme. A candidate’s score in the JEE or another all-India test is also taken into account by other institutions when deciding whether to admit them to BTech programmes.

The following is a step-by-step guide to BTech Artificial Intelligence and Machine Learning Engineering admissions process.

  •  The candidate must have a 10+2 grade point average of at least 50 per cent to be considered for admission to most colleges and universities.
  • While the IIT-JEE Advanced is necessary for admission to IITs, certain colleges, such as Chandigarh University, have their own tests that applicants must pass in order to be considered for a seat. Indraprastha, for example, takes into account a candidate’s performance in the university test as well as in other national examinations like the Joint Entrance Examination (JEE).
  • Then comes the counselling step, and some schools may even need a personal interview stage to be passed by the candidate.

BTech Artificial Intelligence and Machine Learning Engineering: Admission Process

  • It is possible to get into the four-year B.Tech. Artificial Intelligence programme through both the admission test and merit method. Some colleges and universities need candidates to take an entrance test and a qualifying exam in order to be considered for admission. Qualifying exam grades, as well as national or state-level entrance test scores like JEE, are taken into account at some institutions for giving admissions.

BTech Artificial Intelligence and Machine Learning Engineering: Syllabus & Subjects

Generally, the syllabus for B. Tech or M. Tech in Artificial Intelligence includes the following topics:

  • Artificial intelligence
  • Neural networks
  • Pattern recognition
  • Algorithms
  • Machine Learning
  • Language processing
  • Robotics
  • Automata

BTech Artificial Intelligence and Machine Learning Engineering Salary in India

At the present, artificial intelligence engineering is one of the most lucrative professional options available. For some time now, the AI employment market has been expanding at a breakneck pace. In India, the average yearly income for an entry-level AI engineer is approximately 8 lakhs, which is much more than the average wage for any other engineering graduate. The compensation of an AI engineer at the highest level can reach 50 lakhs.

Although AI engineering is a new career option, early adopters with more than ten years of experience in the industry can command salaries of up to one crore per year. However, these astounding results are not unique to India.

The average annual income of an AI engineer in the United States is above $110,000. The average annual compensation of an AI engineer in Canada is around 85,000 Canadian dollars. Prospects for AI engineers are also bright throughout Europe, with the median wage for an AI engineer in the United Kingdom exceeding 60,000 pounds per year.

BTech Artificial Intelligence and Machine Learning Engineering Entrance Exam

Three national exams are required for a B.Tech in Artificial Intelligence. PCM (Physics, Chemistry, Math) with Computer Science or PCB (Physics, Chemistry, Biology) with Biotechnology are the only two options for intermediate students who wish to take the exam.

  • Score up to 30,000 in JEE Mains
  • Ranks up to and including 50,000 in the UPSEE All India Ranking.

Why BTech Artificial Intelligence and Machine Learning Engineering: Top 5 Reason to Choose BTech Artificial Intelligence and Machine Learning Engineering

Artificial intelligence studies bring up a whole new universe of possibilities. By learning the basics, you’ll have a better grasp on the systems and tools you use on a regular basis. It’s possible to assist develop cutting-edge AI applications, like Google’s self-driving car or IBM Watson, if you continue with the subject.

The possibilities are absolutely boundless in the field of artificial intelligence. Google’s intention to construct quantum processors or crowd-funding campaigns for robotic helpers like Jibo are frequently featured in the news.

You can get a career as a software engineer working on neural networks, human-machine interfaces, and quantum artificial intelligence if you study artificial intelligence now. You may also work in industry as a software engineer for businesses like Amazon or Facebook, where you’d be tasked with analyzing and processing massive amounts of data. Additionally, you could work in the field of robotics as a hardware engineer producing electronic parking assistance or home helper robots.

Required Skills for BTech Artificial Intelligence and Machine Learning Engineering

In order to go into the AI and ML field you’ll need a wide range of educational, technical, and so-called “soft talents.”

A bachelor’s, master’s, or doctoral degree in computer science or a related field is required to work in the AI industry. In order to work in AI or ML, you’ll need both problem-solving and analytical talents.

Here is the list of required skills for BTech Artificial Intelligence and Machine Learning Engineering:

  • Skills in statistical analysis.
  • Probability and mathematical abilities.
  • Software Development.
  • Cutting Edge Signal Processing.
  • Computating Over a Broad Area Network.

Career & Jobs Opportunities After BTech Artificial Intelligence and Machine Learning Engineering

Due to the wide range of applications of AI in various industries, there are numerous AI career prospects. Many AI enthusiasts are likewise perplexed by this. Consequently, we’ve put together this list of promising job possibilities in AI.

  • Big Data Engineer
  • Business Intelligence Developer
  • Data Scientist
  • Machine Learning Engineer
  • Research Scientist
  • AI Data Analyst
  • Product Manager
  • AI Engineer
  • Robotics Scientist

Scope of BTech Artificial Intelligence and Machine Learning Engineering

From 2015 to 2019, Gartner reports that there was a 270% increase in the use of artificial intelligence. As a result, artificial intelligence will become increasingly important in the future. Opportunities in the field of artificial intelligence (AI) are on the rise.

If you’re thinking about making the leap to artificial intelligence, don’t hesitate to give it a go. Aside from that, jobs in the field of artificial intelligence are well-compensated.

Top 10 Recruiters for BTech Artificial Intelligence and Machine Learning Engineering Graduates in India 

AI and machine learning B.Tech graduates have a plethora of career options; some of the largest corporations in India and outside actively seek out these individuals. The following is a list of some of these businesses:

  • Google
  • Facebook
  • Wipro
  • IBM
  • NIIT
  • Oracle
  • Genpact
  • HDFC Bank

Top Recruiting Industries

In order to work in the public or private sector, a graduate with a specialization in this discipline can pursue the following careers:

  • Machine Learning Engineer
  • Big Data & AI Architect
  • Big Data Scientist
  • Artificial Intelligence Engineer
  • Research Engineer – Artificial Intelligence
  • Data and AI Consultant
  • Robotics Professional

BTech Artificial Intelligence and Machine Learning Engineering: Related FAQS

Q1: Is Artificial Intelligence & Analytics related to CSE?

Only Computer Science Engineering has a branch called Artificial Intelligence (AI), which focuses on constructing robots capable of thinking like people and acting like humans. There should be no doubt about this. The field of artificial intelligence is a subfield of computer science.

Q2: Is Artificial Intelligence & Analytics a hard job?

Yes, AI is difficult, but if you’re willing to put your mind to it, nothing is. If you’re interested, you’ll be able to get it done quickly. It’s all about personal preference. The future of artificial intelligence is brighter. Some of the AI jobs include machine learning engineers, data scientists, business intelligence developers, research scientists, and the AI engineer.

Q3: What is the difference a BTech in Artificial Intelligence and Machine Learning and Data Science

Data science and artificial intelligence are not mutually exclusive. Because current AI or artificial limited intelligence does not have full autonomy and consciousness like humans, it is not a true substitute for humans in today’s world.

Data science is the study and analysis of data, and a data scientist is responsible for obtaining insights that aid businesses in making decisions. ” The roles of an AI scientist and a data scientist are distinct by definition.

Q4: Which are the colleges offering a B.Tech in E along with Artificial Intelligence and Machine Learning technology

MIT ADT University offers an amazing course in B.Tech CSE in AI and ML.

Summary

A profession in artificial intelligence can lead to great success. A growing number of people are worried that artificial intelligence is going to replace their jobs. We are powerless to alter the course of history. However, we are capable of adjusting to the shifting character of the workplace. True, many jobs will be replaced by AI, but the technology itself will still need to be developed, maintained, and sold in order to function. Courses in artificial intelligence will, therefore, come in handy in the future.

MIT ADT UniversityMIT School of Engineering offers an immersive course in B.Tech in CSE in AI & ML. In India, B.Tech.-level courses in artificial intelligence are available. A master’s degree in technology (M.Tech) in artificial intelligence (AI) is also an option for those interested in learning more about the field. Students who have completed class 12 are eligible to enroll in the artificial intelligence-focused B.Tech Computer Science program. This course covers all the bases when it comes to AI. Artificial intelligence and machine learning (ML) are covered in depth in this course, which covers both the fundamentals as well as more advanced and applied topics. B.Tech in CSE in AI & ML also contains the usual computer science disciplines, such Java, C, electrical and electronics engineering, database management design and operating systems etc. in addition to the AI-specific topics.

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