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Shape the Future with B.Tech. in Artificial Intelligence and Machine Learning (AI & ML)

Duration - 4 Years

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Duration 4 Years (Full-Time)
Eligibility 10+2 with Physics & Mathematics as compulsory subjects (Minimum 45–50% aggregate)
Intake 60
Fees ₹3,00,000 / Year
Campus Dnyaan Prasad Global University (DPGU), Pimpri, Pune
Eligibility 10+2 with Physics & Mathematics as compulsory subjects (Minimum 45–50% aggregate)

Programme Overview

The B.Tech. in Artificial Intelligence and Machine Learning (AI & ML) is an industry-focused programme designed to help students with the knowledge and skills required to develop intelligent technologies and data-driven solutions for real-world applications. The programme builds a strong foundation in computer science and programming while offering in-depth learning in areas such as machine learning, deep learning, data analytics, and intelligent automation. Through an application-oriented curriculum, hands-on laboratory sessions, industry-relevant projects, and collaborative learning opportunities, students learn to translate theoretical concepts into practical solutions. This AI and ML engineering course also nurtures innovation, analytical thinking, and problem-solving skills, preparing graduates to develop and implement AI-powered solutions across a wide range of industries and domains.

WHY CHOOSE US

Why Choose B.Tech Artificial Intelligence and Machine Learning (AI & ML) at DPGU?

As industries increasingly adopt intelligent technologies and data-driven solutions, the demand for skilled Artificial Intelligence and Machine Learning professionals continues to rise. Dnyaan Prasad Global University (DPGU), Pune, offers a career-focused B.Tech. in Artificial Intelligence and Machine Learning (AI & ML) designed for aspiring professionals looking to build expertise in AI and ML engineering. The programme helps students build relevant skills and prepare for diverse opportunities in the evolving digital economy.

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Industry-Synced Learning

Global Opportunities

Programme Highlights

Industry-Aligned AI & ML Curriculum

Build a strong foundation in Artificial Intelligence and Machine Learning principles through an industry-focused curriculum designed around current industry requirements and modern AI and ML engineering standards.

Experiential Learning

Gain practical AI and ML engineering experience through industry visits, hands-on projects, real-world case studies, problem-solving exercises, and application-based learning.

Master Emerging AI Technologies

Explore cutting-edge Artificial Intelligence and machine learning toolkits, building core AI and ML engineering skills in Python, Data Science, Deep Learning, Neural Networks, and Computer Vision.

Technology-Enabled Learning

Learn and experiment in modern computing labs designed for AI and ML engineering, supported by technology-enabled learning environments throughout your AI and ML course.

Industry Exposure & Interaction

Experience classroom learning with industry through workshops, expert guest lectures, industry interactions, and internship opportunities.

Research & Innovation

Explore new ideas and emerging applications of AI through research projects, innovation initiatives, and opportunities to work on technology-driven solutions.

Career & Placement Support

Transition seamlessly into top AI and ML engineering positions upon completing your AI and ML course with placement-focused training and career counseling.

Learning Experiences

Students gain practical knowledge through case studies, industry interactions, workshops, projects, presentations, and real-world marketing activities.

Curriculum

Build expertise in AI and ML through hands-on learning, real-world applications, and emerging technologies, preparing you for high-impact careers in intelligent systems and data-driven innovation.

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Eligibility Criteria

1
Passed 10+2 examination with Physics & Mathematics and one of the subjects from the following: Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology / Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship.
2
Obtained at least 45% marks (40 % marks in case of a candidate belonging to the reserved category) in the above subjects taken together.
3
In addition to this, the applicant must have qualified at least one engineering entrance examination like MHT-CET / JEE / Other State or National Level Engineering Entrance Exam / PERA CET / CUET or Entrance Test Conducted by DPGU (DPAT).

Fee Structure

Course Duration:
4 Years
Yearly Fees:
₹ 3,00,000/-

Career Opportunities After B.Tech Artificial Intelligence and Machine Learning

Graduates of this AI and ML course enter high-demand careers in Artificial Intelligence and Machine Learning. This AI and ML course prepares you for prominent AI and ML engineering roles, including:

Potential career roles include:

AI Engineer / AI and ML Engineering Specialist
Machine Learning Engineer
Data Scientist
Data Analyst
Business Intelligence Developer
AI Research Associate
Computer Vision Engineer
NLP Engineer
Robotics Engineer
Software Developer
Cloud Solutions Engineer

Students can also pursue higher studies, research programmes, or entrepreneurial ventures in artificial intelligence and emerging technologies.

You Can Also Check These Programmes

B.Tech in Computer Science & Engineering | B.Tech in Cyber Security | B.Tech in Electronics & Computer Engineering

How to Apply?

The admission process for our AI and ML course is simple and student-friendly. Follow these steps to complete your admission:

Admission Process

DPGU admission process and application procedure

FAQs

Candidates must have completed their Higher Secondary (10+2) education with Physics and Mathematics as compulsory subjects for this AI and ML course, along with the required qualifying marks as per university and regulatory guidelines.

The B.Tech admission process follows these simple steps:

Online Application: Fill out and submit the application form on our official website along with the processing fee and required documents.

Score Verification: Provide a valid scorecard from state/national entrance tests or take the university’s DPAT exam.

Selection & Confirmation: Complete the personal interaction/counselling round, verify your original documents, and pay the admission fees to secure your seat.

The 8-semester curriculum systematically bridges foundational computer science with specialized machine learning engineering. Key core subjects include Advanced Programming, Data Structures, Design and Analysis of Algorithms, Mathematical Foundations for AI, deep learning models, NLP, Big Data Analytics, and Cloud Computing, with a mandatory corporate industry project.

The programme fee for the B.Tech Artificial Intelligence and Machine Learning programme is ₹3 lakh per year.

There are many career opportunities available after a B. Tech in AI & ML, such as an AI Engineer, ML Engineer, Data Scientist, Data Analyst, BI Developer, or NLP Analyst. The intensive practical curriculum also qualifies you for standard software engineering and full-stack development profiles across top tech MNCs.

DPGU offers dedicated placement assistance, career counseling, technical training, and skill development programs to help students secure employment at reputable technology companies.

Yes, actual industry exposure is a mandatory part of this 4-year engineering degree. Students must complete a compulsory internship along with live industry projects, technical workshops, and hackathons. This ensures you gain hands-on training with real-world datasets, cloud computing architectures, and live AI models before sitting for your final campus placement drives.

CSE degree offers a broad, traditional baseline in systems engineering and keeps your career options completely open. A specialized engineering degree in AI/ML offers a highly targeted, future-proof technical portfolio starting in your first year.

Turn Your AI Aspirations into a Career!

The future belongs to intelligent technologies, and skilled professionals will lead this transformation. Join the B.TechArtificial Intelligence and Machine Learning course at DPGU School of Technology and Research and develop the knowledge, skills, and practical experience needed to succeed in the world of Artificial Intelligence and Machine Learning.

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