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Program Overview

What is B Tech in Artificial Intelligence and Machine Learning?

The B Tech in Artificial Intelligence and Machine Learning at KL Deemed-to-be University is a future-focused undergraduate engineering program designed to prepare students for the rapidly evolving world of intelligent technologies, automation, and data-driven innovation. This 4-year program combines the strong foundations of Computer Science Engineering with advanced concepts in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Full Stack Development, Data Engineering, and Intelligent System Design.

As industries increasingly adopt AI-powered solutions, the demand for professionals skilled in intelligent computing and software development continues to grow across sectors such as healthcare, finance, cybersecurity, robotics, e-commerce, cloud computing, and smart manufacturing. The B Tech in AI and ML program at KL University equips students with the technical expertise, analytical thinking, and practical exposure needed to solve real-world business and engineering challenges.

The curriculum is designed with a strong industry orientation and includes hands-on learning through live projects, coding labs, hackathons, internships, research opportunities, and innovation-driven coursework. Students gain exposure to technologies such as:

  • Machine Learning Algorithms
  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Generative AI
  • Full Stack Application Development
  • Cloud and Edge Computing
  • Big Data Analytics
  • Intelligent Automation

This B Tech in Artificial Intelligence and Machine Learning course also integrates Full Stack Development concepts, enabling students to build scalable AI-powered applications from backend architecture to intelligent front-end systems.

At KL University, students benefit from experiential learning, industry mentorship, innovation ecosystems, and multidisciplinary exposure that help them become industry-ready engineers, researchers, entrepreneurs, and technology leaders.

Whether students aim to work in top technology companies, build AI startups, pursue higher studies, or contribute to cutting-edge research, the BTech AI and ML program provides a strong academic and professional foundation for long-term success.

Program Structure

What subjects are included in each year of the AI and ML program?

The BTech AI and ML syllabus at KL University is structured to provide strong foundations in computing, programming, mathematics, artificial intelligence, and machine learning technologies. The curriculum integrates theoretical concepts with practical learning, technical skilling, internships, and capstone projects to prepare students for evolving industry demands.

First Year – Foundations of Computing and Engineering

The first year focuses on building communication, analytical, mathematical, and programming skills required for AI and ML learning.

Core Subjects Include:
  • Integrated Professional English
  • English Proficiency
  • Professional Communication Skills
  • Mathematics for Computing
  • Mathematics for Engineers
  • Probability and Statistics
  • Physics
  • Engineering Chemistry
  • Computational Thinking for Design
  • Data Structures
  • Object Oriented Programming
  • Design Thinking and Innovation
  • Digital Logic & Processors
Students also gain exposure to:
  • Design Tools Workshops
  • Visual Programming
  • Technical Skilling Activities
  • Computational Problem Solving

Second Year – Core Artificial Intelligence and Data Science Learning

The second year introduces students to the foundational concepts of AI, machine learning, programming systems, and data-driven technologies.

Key Subjects Include:
  • Design and Analysis of Algorithms
  • Enterprise Programming
  • Introduction to Artificial Intelligence
  • Machine Learning
  • Data Science and Visualization
  • Data Warehouse and Data Mining
  • Big Data Engineering
Students also participate in:
  • Laboratory Sessions
  • Technical Assignments
  • Programming Practice
  • Project-Based Learning Activities

Third Year – Advanced AI Technologies and Specializations

The third year focuses on advanced AI and ML technologies along with specialization-oriented learning.

Advanced Subjects Include:
  • Deep Learning
  • Computer Vision & Perception
  • Cloud & Edge Computing
  • Digital Forensics
  • Web Engineering
  • Network Security
  • Internet of Things (IoT)
  • Visual Programming and HCI (UI/UX)
Students can explore specialization streams such as:
  • Autonomous Systems
  • Medical Intelligence
  • IoT Analytics
  • Computational Intelligence
  • Perception and Language
  • Social & Digital Media Analytics

The ai and ml btech syllabus also includes practical learning through:

  • Technical Projects
  • Design-Based Learning
  • Innovation Activities
  • Skill Development Programs

Fourth Year – Internships, Research, and Capstone Projects

The final year emphasizes practical implementation, innovation, industry exposure, and career readiness.

Students Participate In:
  • Social Internship
  • Technical Internship
  • Midgrade Capstone Projects
  • Practice School Programs
  • Internship/Capstone Projects
  • Technical Proficiency Activities
  • Entrepreneurial Incubation Programs
The curriculum also promotes:
  • Startup Culture
  • Industry Mentorship
  • Research Activities
  • Practical AI Solution Development
  • Real-World Problem Solving

Capstone projects help students apply the concepts learned across the b tech artificial intelligence and machine learning syllabus to develop practical tools and intelligent systems for real-world applications.

Program Benefits

What are the benefits of studying B Tech in AI and Machine Learning?

KL University offers an industry-aligned learning ecosystem that helps students become future-ready AI professionals.

  • Industry-Focused Curriculum
    The curriculum is designed in collaboration with academic experts and industry professionals to align with current AI and software industry demands.
  • Full Stack + AI Learning Advantage
    Students gain expertise in both AI technologies and Full Stack Development, enabling them to build complete intelligent applications.
  • Advanced AI Labs and Research Facilities
    Students work in modern laboratories equipped with AI development tools, cloud platforms, GPU-enabled systems, and data analytics environments.
  • Hands-On Learning Through Projects
    The program emphasizes experiential learning through hackathons, coding challenges, semester projects, internships, and live industry assignments.
  • Exposure to Emerging Technologies
    Students learn cutting-edge technologies including:
    • Generative AI
    • Deep Learning
    • NLP
    • Computer Vision
    • Intelligent Automation
    • AI Deployment Systems
  • Strong Placement Support
    KL University provides structured placement preparation, technical training, mock interviews, and recruiter engagement throughout the program.
  • Innovation and Startup Ecosystem
    Students interested in entrepreneurship receive support through incubation centers, mentorship programs, startup funding opportunities, and innovation challenges.
  • Global Learning Opportunities
    The university offers international collaborations, certifications, research exposure, and higher education guidance for global career pathways.

Eligibility & Admission Criteria

What is the eligibility for B Tech AI and ML?

To apply for the B Tech in Artificial Intelligence and Machine Learning admission, candidates must satisfy the following eligibility criteria:

  • Candidates must have completed 10+2 or an equivalent examination from a recognized board.
  • Students should have studied Physics, Chemistry, and Mathematics (PCM) as compulsory subjects.
  • A minimum aggregate score of 60% marks in the qualifying examination is generally required.
Entrance Examinations Accepted

Applicants must qualify in any one of the following entrance examination

  • KLEEE (KL Engineering Entrance Examination)
  • JEE Main
  • JEE Advanced
  • AP EAMCET
  • TS EAMCET
  • Other recognized state-level engineering entrance examinations

Admission is based on academic performance and entrance examination eligibility as per university guidelines.

Fee Structure

What is the fee structure for B Tech AI and ML?

The fee structure for the B Tech CSE with AI and ML (Full Stack) program at KL University is designed to provide access to advanced learning infrastructure, AI-focused labs, industry exposure, and practical training opportunities.

Campus Duration Admission Fee Semester Fee Total 1st Semester
Vijayawada 4 Years ₹16,000 ₹1,05,000 ₹1,21,000

Note : The fee structure provided is based on the 2025–26 academic year and is subject to change for the 2026–27 academic year.

Are hostel and other charges included?

No. Hostel, mess, exam, and other charges are separate. You can contact the admissions office for exact details.

Are there any Scholarship Opportunities?

Yes. KL University offers merit-based scholarships based on:

  • KLEEE Rank
  • JEE Main Percentile
  • Intermediate/Board Examination Scores
  • Sports and Special Category Achievements

Eligible students can apply for scholarships during the admission process

Career Scope & Opportunities

What are the career opportunities after B Tech AI and ML?

Graduates of the B Tech in Artificial Intelligence and Machine Learning program have strong career opportunities across software, analytics, automation, cloud computing, robotics, and intelligent systems industries.

Popular Career Roles

Students can pursue roles such as:

  • Machine Learning Engineer
  • AI Engineer
  • Full Stack AI Developer
  • Data Scientist
  • NLP Engineer
  • Deep Learning Engineer
  • Computer Vision Engineer
  • AI Research Associate
  • Business Intelligence Analyst
  • Cloud AI Developer
  • Data Engineer
  • Robotics Software Engineer
Industries Hiring AI & ML Graduates

AI and ML professionals are in demand across:

  • IT Services
  • FinTech
  • Healthcare Technology
  • E-Commerce
  • Cybersecurity
  • Manufacturing Automation
  • EdTech
  • Automotive and Autonomous Systems
  • Cloud Computing Companies

Students also have opportunities to pursue higher studies, research programs, or launch AI-based startups.

KL University’s strong placement ecosystem, industry partnerships, internships, and project-based learning help students build successful careers in emerging technology domains.

Frequently Asked Questions (FAQs)

Yes. AI and ML are among the fastest-growing technology domains globally, offering strong career growth, high salary potential, and opportunities across multiple industries

Yes. Computer Science Engineering covers broader computing concepts, while AI & ML focuses specifically on intelligent systems, machine learning algorithms, data-driven applications, and automation technologies.

Yes. The program integrates Full Stack Development concepts along with AI technologies to help students build complete intelligent software applications.

Yes. Students receive internship opportunities, industry exposure, project-based learning, and practical training throughout the course.

Students learn programming languages and tools such as Python, Java, C, JavaScript, SQL, and AI development frameworks.

Yes. KL University offers merit-based scholarships based on entrance exam performance and academic scores.

Graduates can explore opportunities with technology companies, AI startups, analytics firms, software development organizations, and multinational corporations across various industries.


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