The B.Tech. Artificial Intelligence and Machine Learning program focuses on developing intelligent systems capable of learning, reasoning, and problem-solving. The curriculum blends core computer science fundamentals with advanced AI and ML concepts such as deep learning, natural language processing, computer vision, robotics, reinforcement learning, and data analytics.
Students gain hands-on exposure to modern AI frameworks, large-scale datasets, algorithmic modeling, and real-world industry applications. The program equips learners to design innovative solutions that drive automation, smart technologies, and decision-support systems across various domains.
Interdisciplinary Curriculum: Combines computer science, mathematics, statistics, and emerging AI technologies with electives from fields such as agriculture, healthcare, fintech, and automation.
Industry-Aligned Content: Designed in consultation with industry partners and aligned with frameworks like NASSCOM Future Skills and AICTE Model Curriculum.
Hands-on Learning: Project-based pedagogy, lab-intensive courses, and real-world problem-solving using Python, TensorFlow, PyTorch, and cloud platforms.
Capstone Projects & Internships: Mandatory industry internship and a final-year capstone project in collaboration with startups or corporate R&D units.
AI & AgriTech Integration: Unique opportunity to apply AI to agriculture and sustainability domains in line with Kaveri University's core strengths.
Global Readiness: Courses on Responsible AI, cross-cultural communication, and research exposure to prepare students for international opportunities.
Entrepreneurship Support: Access to the university's Innovation & Incubation Center for AI-driven startups and product development.
The program aims to:
Build strong foundations in mathematics, programming, and core computer science
Develop the ability to design and implement machine learning, deep learning, and AI-based models.
Equip students with practical skills in data preprocessing, model training, evaluation, and deployment.
Provide exposure to advanced AI tools, frameworks, cloud platforms, and real-world datasets.
Foster innovation, analytical thinking, and problem-solving to address industry challenges.
Instill professional ethics, teamwork, and communication skills for multidisciplinary environments.
Prepare graduates for higher studies, research, and advanced AI-driven careers.
Graduates of the AI & ML program are highly sought after in technology, healthcare, automotive, finance, robotics, e-commerce, and research sectors. Career roles include:
Artificial Intelligence Engineer
Machine Learning Engineer
Deep Learning Specialist
Data Scientist
AI Research Scientist
NLP Engineer
Computer Vision Engineer
Robotics Engineer
Data Analyst
Automation Engineer
AI Product Manager
Cloud AI Solutions Architect
Predictive Analytics Engineer
The B.Tech CSE(AI & ML) program is structured over eight semesters, comprising a total of 163 credits, and includes a balanced blend of core courses, electives, laboratory work, internships, and a capstone project. The curriculum is designed to progressively build foundational knowledge, domain expertise, and practical skills.
Semesters 1–2: Foundations: Focus on core subjects in Mathematics, Physics, and introductory courses in Computer Science, including programming and data structures, laying the groundwork for AI and ML competencies.
Semesters 3–4: Core Computing Disciplines and AI Fundamentals: Courses in software engineering, database systems, operating systems, machine learning, and artificial intelligence provide a strong theoretical and practical base.
Semesters 5–6: Specializations and Advanced Technologies: Students choose from domain-specific electives in areas such as Advanced Machine Learning, Natural Language Processing, Data Science, Cybersecurity, and Edge/Cloud Computing, enabling in-depth skill development.
Semesters 7–8: Capstone and Emerging Technologies: Emphasis on project-based learning through a capstone project, along with exposure to emerging technologies like Generative AI, Explainable AI, AI in IoT, and Responsible AI.
The program adopts an outcome-based education (OBE) model with flexibility under the Choice Based Credit System (CBCS) and supports credit accumulation through the Academic Bank of Credits (ABC) framework
Candidates seeking admission to the B.Tech. programs must have successfully completed their 10+2 / Intermediate or equivalent examination from a recognized board with Physics, Mathematics, and Chemistry (or relevant subjects), securing a minimum of 60% aggregate marks in the qualifying examination.
Admissions will be based on merit in the qualifying examination and/or performance in recognized national or state-level entrance examinations, such as Joint Entrance Examination (JEE) or relevant State Common Entrance Tests, as per the admission guidelines of the University.
Note:
(i) Students getting admitted through JEE / SAT / ACT mode need to have 60% or equivalent grade in 10+2 from any Statutory Board;
(ii) Exact cut off rank would be announced upon declaration of results.
| Students Under Indian Category | ₹ Per Annum |
|---|---|
| Academic Fees | ₹ 3,00,000 |
| Hostel Fees (2 Sharing Includes Room & Mess Charges) |
₹ 1,50,000 |
| Hostel Fees (4 Sharing Includes Room & Mess Charges) |
₹ 1,25,000 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
₹ 20,000 |
| Students Under NRI/PIO/FO Category | $ USD Per Annum |
|---|---|
| Academic Fees | $5000 |
| Hostel Fees (Includes Room & Mess Charges) |
$2500 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
$400 |
Note:
Hostel stay is Mandatory for students and fees are subject to revision every year
Refund Rules:
Fee refund & cancellation policy will be as per guidelines published by UGC/Statutory authorities.
Note:
Dates and schedules are subject to change.
Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.
