B.Tech in Artificial Intelligence / AI & ML
This program integrates core computer science with advanced machine learning techniques. Students learn neural networks, predictive modeling, deep learning, and AI system implementation. Through hands-on projects and real-world case studies, graduates develop the technical depth required to build, deploy, and optimize intelligent solutions across industries.
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Our Artificial Intelligence/Artificial Intelligence & Machine Learning program focuses on developing skilled professionals who can learn, perceive and apply algorithms to real-world problems. With strong support, guidance and industry partnerships we equip our students to excel in their chosen career.
95%
Career Success
150+
Student Placed only in 2025
20LPA
Highest Package
3x
Internship Conversions
90%
Skill Certification Rate
5.14LPA
Average Package
The different career paths available for the program
Machine Learning Engineer
Data Scientist
Data Analyst
AI / ML Software Developer
Computer Vision Engineer
AI Engineer
Research Assistant and more
Machine Learning Engineer
Data Scientist
Data Analyst
AI / ML Software Developer
Computer Vision Engineer
AI Engineer
Research Assistant and more
Cisco CCNA certification programs equip students with industry-recognized networking skills, enabling them to work confidently in telecommunication and network infrastructure environments.
ServiceNow CSA & CAD certifications equip students with in-demand skills in cloud-based workflows and IT service management, enabling them to design enterprise-level solutions.
AWS programs equip students with cloud computing expertise through hands-on labs, enabling them to design, deploy, and manage scalable cloud-based solutions.
Enhance your degree with Honors & Minors
Expand your expertise with specialized minors and distinguished honors programs, designed to complement your degree. Tailor your academic journey to deepen knowledge, sharpen skills, and stand out in your field.
Course & Details
Honors
Offers advanced training in intelligent algorithms, deep learning and AI-driven systems to solve complex, real-world problems.
Academic Requirement
Candidates must have passed Intermediate or 10+2 examination from a recognized Central/State Board with Physics, Chemistry and Mathematics as core subjects.
Candidates must have secured a minimum of 45% aggregate marks in the qualifying examination (10+2 / Intermediate).
Entrance Test Requirement
Admission shall be based on merit through:
TS EAPCET (formerly TS EAMCET)
Joint Entrance Examination (JEE)
State Common Entrance Test
Anurag Common Entrance Test (Anurag CET)
Qualifying Examination on merit
Candidates applying through the Institutional Category must secure a minimum of 60% aggregate in Mathematics, Physics & Chemistry and/or obtain a merit rank in Anurag CET.
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From collaborative spaces to student communities, explore what shapes the Anurag experience.
Clubs
Student-led technical and cultural clubs provide spaces to explore interests, collaborate on ideas, and apply learning beyond the classroom
Learning Spaces
From smart classrooms to advanced laboratories, Anurag University’s learning spaces are designed to support hands-on learning, experimentation, and collaborative problem solving.
Research Overview
Research at Anurag University spans core and emerging areas, encouraging students to engage in inquiry, innovation, and real-world problem solving alongside experienced faculty.
Campus beyond classroom
A vibrant campus life with events, workshops, libraries, and shared spaces ensures learning continues outside formal lectures, shaping well-rounded student experiences.
What does the AI & ML program focus on?
It focuses on machine learning, data analysis, and intelligent systems.
Is the program difficult to understand?
Concepts are taught step by step, making it manageable with consistent learning.
Are practical projects included?
Yes, hands-on projects form an important part of the curriculum.
Is mathematics required for this program?
It blends theory with real-world applications and project-based learning.
How is the curriculum designed?
It blends theory with real-world applications and project-based learning.
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