B.Tech in
Artificial Intelligence

Shaping the Future of Innovation, Where AI Transforms Possibilities

4 Years Full Time
Apply Now icon | GHRU Amravati
GHRU Amravati

About Course

The B.Tech in Artificial Intelligence program has been introduced with the purpose of offering students a broad understanding of technological advancement and how to implement technologically advanced tools. Major knowledge fields include: Machine Learning, Artificial Deep Learning, Natural Language Processing, Robotics Engineering, and Data Analysis. Both theoretical and practical concepts are presented, and relevant information is explained with references made to how these elements interlink with each other and how the abilities needed to integrate knowledge at creating solutions in the domain are also used to come up with innovative solutions in several fields.

This is in line with the approaches of instructional training on the current technologies and the specific use of the current technological devices in the job markets in AI and Data Science fields. It is participative in that the students are strongly encouraged to get involved in practical work within advanced labs and projects, where predominantly technical skills are developed. But besides that, students acquire creative thinking and problem-solving skills.

Artificial Intelligence has been emerging as the key mover of technology and innovation in society. Since AI is already encroaching onto fields like health, finance, automotive, and many more sectors, AI technology is already encroaching onto every other industry in the globe. This means there is a bright future in the job market since the demand for professionals in artificial intelligence is growing with each passing day. Apart from that, it paves the way for a provoking career path alongside offering the graduates competitiveness in technological advancement, making them play a central role in the change process of the industries they cater.

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Objectives of the Program

  • Gain a strong foundation in algorithms, data structures, and computer systems.
  • Develop expertise in machine learning, data science, and feature engineering.
  • Apply AI technologies in practical fields like robotics, healthcare, and cybersecurity.
  • Explore emerging trends such as quantum computing, blockchain, and advanced analytics.

Study at Raisoni for a successful future & drive your career in the right direction with our B.Tech in Artificial Intelligence

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Key Details

GHRU Amravati

Four Year (4) course with two semesters in a year.

GHRU Amravati

ICT-enabled smart classrooms

GHRU Amravati

MoUs with various organisations.

GHRU Amravati

Incubation centre for financial support in innovative projects and startups.

GHRU Amravati

Nodal Center of Virtual Lab.

GHRU Saikheda

NPTEL centre of IITM.

Future in B.Tech. in Artificial Intelligence

Smart Cities GHRU Saikheda

The global AI market is projected to reach approximately ₹1.4 lakh crore by 2030, with a compound annual growth rate (CAGR) of 37.3%.

Housing Boom GHRU Saikheda

There are 3 lakh job opportunities globally for skilled AI professionals. In the U.S. alone, AI job vacancies increased by 32% year-over-year.

Mega ProjectsGHRU Saikheda

The median salary for AI professionals in April 2024 was ₹1.32 crore per year, up from ₹1.19 crore in the previous year.

Mega ProjectsGHRU Saikheda

Sectors leveraging AI are witnessing nearly five times (4.8x) higher growth in labour productivity, reflecting a growing demand for AI expertise.

Eligibility

    • Candidates must have completed their HSC (12th standard) with qualifications from a recognised board.
    • They should have pursued the science stream, including Physics, Chemistry, and Mathematics as mandatory subjects, achieving a minimum of 45% for open-category students and a minimum of 40% for reserved-category students.
    • They must have qualified for the Maharashtra Common Entrance Test (MHTCET) or Joint Entrance Examination (JEE) with a non-zero positive score. We also accept SAT Score.
    • The candidate must be an Indian National and should have passed an SSC or HSC Diploma Course in Engineering / Technology with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) in the appropriate branch of Engineering / Technology from an AICTE-approved institution with English as the medium of instruction at diploma level.

    OR

    • The Candidate must be an Indian National and should have passed a B.Sc. degree from a UGC/Association of Indian Universities recognised university with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) and passed XII standard examination with mathematics as the subject and with English as the medium of instruction at B.Sc. level.
    • Note:The students belonging to the B.Sc. stream shall only be considered after filling the seats in this category with students belonging to the Diploma Stream. Students belonging to the B.Sc. stream are required to pass the subjects of Engineering Graphics/Engineering Drawing and Engineering Mechanics of the first-year Engineering program along with the second-year subjects.

Admission Procedure

1

The University will issue admission notifications regarding the Raisoni University Common Entrance Test (RUCET) in newspapers, on the University’s website, on the University notice board, and through other publicity media before the commencement of the academic year. This entrance examination is mandatory for admission. However, candidates who have appeared for a government-recognised entrance examination are also eligible, as per University guidelines.

2

The list of candidates provisionally selected for admission or shortlisted on the basis of merit will be displayed on the University notice board and the University website. Alternatively, students may be informed directly about their admission after the last date of application.

3

Candidates whose results of the qualifying examinations are awaited may also apply. They will be admitted provisionally. However, such candidates must produce the previous year’s mark sheet and School or College certificates as proof of meeting the required eligibility criteria before the due date, failing which the provisional admission will not be granted. The admitted candidate must present the mark sheet of the qualifying examination within one month from the due date of entry, failing which the provisional admission shall be cancelled.

4

If a candidate admitted provisionally as mentioned above does not obtain the required marks to fulfil the eligibility criteria for admission, the provisional admission granted shall be cancelled.

5

The application form may be rejected for any of the following reasons:

  • The candidate does not fulfil the eligibility criteria.
  • The prescribed fee has not been enclosed.
  • The application form has not been signed by the candidate and their parent or guardian, wherever required.
  • Supporting documents required for admission have not been enclosed.
6
  • An enrolment or registration number will be assigned to the student by the University after verification and submission of all necessary documents and fees.
  • Admission rules as framed by the University shall be applicable to all admissions from time to time.

Technical Skills Acquired

Software :
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Skills :
  • Programming Languages
  • AI Tools and Frameworks
  • Data Science Techniques
  • Machine Learning Algorithms
  • AI Integration

Career Opportunities

Entry Level
  • AI Developer
  • Data Analyst
  • Machine Learning Engineer
  • Research Assistant
Mid Level
  • AI Engineer
  • Data Scientist
  • Robotics Engineer
  • Cybersecurity Analyst
Senior Level
  • Lead AI Engineer
  • Senior Data Scientist
  • Chief Data Officer
  • AI Solutions Architect

Future Studies Options

B.Tech AI graduates have several opportunities for advanced studies, including:

M.Tech (Master of Technology)

In fields such as AI, Machine Learning, Data Science, Robotics, and Computer Vision.

MS (Master of Science)

In areas like Artificial Intelligence, Data Science, or Robotics.

MBA (Master of Business Administration)

for those aiming for management roles within the tech industry.

PhD (Doctor of Philosophy)

for advanced research and academic careers in Artificial Intelligence or related fields.

Specialised Courses

In areas such as Deep Learning, Advanced Robotics, and Quantum Computing.

FAQ

What does the qualification cover?

A B.Tech in Artificial Intelligence covers a comprehensive curriculum including machine learning, deep learning, natural language processing, robotics, and data analytics. The program integrates theoretical knowledge with practical applications in AI technologies.

The starting salary for AI engineers in India typically ranges from ₹3.5 lakhs to ₹6 lakhs per annum, depending on the company, location, and individual skills. Salaries can increase significantly with experience and specialisation.

Essential technical skills include proficiency in programming languages (such as Python and R), knowledge of machine learning frameworks (such as TensorFlow and PyTorch), understanding of algorithms, data analysis, and familiarity with AI tools and technologies.

To be eligible for admission to a B.Tech in Artificial Intelligence, candidates generally need to have completed their 12th grade with a strong background in mathematics and science. They must also pass an entrance exam such as JEE Main, MHT-CET, or a similar test as required by the institution.

Career opportunities include roles such as AI research scientist, machine learning engineer, data scientist, robotics engineer, NLP engineer, and automation specialist. Graduates can work in various industries including technology, healthcare, finance, and manufacturing.

The course is typically assessed through a combination of written exams, practical assignments, projects, and presentations. Continuous assessment through lab work and coursework also plays a significant role in evaluating student performance.

Useful certifications include those in specific AI technologies and skills such as:

  • AWS Certified Machine Learning - Specialty
  • Google Professional Machine Learning Engineer
  • TensorFlow Developer Certificate
  • Microsoft Certified: Azure AI Engineer Associate

Skills and languages that often command higher salaries include:

  • Expertise in machine learning and deep learning
  • Proficiency in Python and R
  • Experience with AI frameworks (TensorFlow, PyTorch)
  • Advanced knowledge in data science and analytics

Mechanical engineers can work in diverse industries including automotive, aerospace, manufacturing, energy, robotics, HVAC, and construction. The demand for mechanical engineers spans across both traditional and emerging sectors.

Yes, Mechanical Engineering graduates are in demand globally. Countries like the USA, Germany, Japan, and the UAE offer excellent career prospects for mechanical engineers, especially in high-tech industries such as aerospace, robotics, and energy. .

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Applications of admission are now
open for academic year 2025-2026

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