Program Overview

Artificial Intelligence and Machine Learning are shaping the future of technology. The B.Tech in CSE AIML at Sreenidhi University equips students with the knowledge and skills to develop intelligent systems and data-driven solutions. This program blends foundational computing concepts with advanced AI/ML topics to prepare students for high-impact tech careers.

The curriculum covers essential areas such as programming, data structures, and algorithms, and progresses into deep learning, neural networks, NLP, and computer vision. Students gain hands-on experience with tools like Python, TensorFlow, OpenCV, and cloud-based AI platforms.

With expert faculty and access to modern labs, students engage in applied learning through projects, research, and internships. The program nurtures innovation and prepares graduates to lead in AI-driven roles.

Career Opportunities

Graduates of the AIML specialization can pursue high-impact roles.

Domains

  • Machine Learning Engineer
  • Data Scientist
  • Decision Scientist
  • MLOps Engineer
  • DevOps Engineer
  • Cloud AI Engineer
  • Software Engineer (AI/ML Focus)
  • Data Engineer
  • Data Analyst

B Tech CSE AI & ML
Career Oppurtunities

Dr Karthikeyan

Dean - SoE

Program Details

B Tech CSE – AI & ML

  • Eligibility

    Please contact the Admissions Office for eligibility details.

  • Curriculum

    The curriculum blends core computer science subjects with AI-focused modules such as machine learning algorithms, deep learning, computer vision, and cloud AI deployment.

  • Fees

    Please contact the Admissions Office for fee structure.

  • Labs

    Students benefit from state-of-the-art AI/ML labs equipped with advanced computing infrastructure and real-time data tools for experimental learning.

Course Structure

B Tech CSE – AI & ML program is structured to fulfil a defined set of credit requirements, along with program-specific criteria, culminating in the award of the degree.

This student-centric approach, enriched with innovation and design thinking, emphasizes:

  • > Flexibility in Course Selection
  • > Self-Paced Learning Options
  • > Interdisciplinary Integration
  • > Credit-Based Evaluation Systems


By incorporating innovation and design thinking, this framework encourages students to think creatively, solve complex problems, and personalize their learning journey, while promoting holistic development and skill enhancement.

Course Credit Structure


Credits are allocated to courses based on the L-T-P-S structure.

  • > Every Lecture or Tutorial hour equals 1 credit
  • > Every Practical hour equals 0.5 credits
  • > Every Skill-based practice hour equals 0.5 credits

B.Tech CSE – AI/ML – PSO & PO

B.Tech CSE – AI/ML – Program Structure

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