Online MCA in MLOps and AI Engineering

Sharda University Online MCA In MLOPs And AI Engineering Course Details

The Sharda University Online MCA in MLOps and AI Engineering is a 2-year, fully online postgraduate degree program, open to graduates with a 3-year bachelor’s degree in any discipline from a recognized university. The course curriculum builds from foundational computing subjects like data structures, Python, and applied machine learning in the first two semesters, before moving into specialized coursework covering advanced machine learning, model deployment, and data engineering for ML systems in the final semester. The final semester pairs a capstone project with focused training in model monitoring, Kubernetes for scalable ML workloads, and GenAI operations, including RAG pipelines and LLMOps.

The Sharda University Online MCA in MLOps and AI Engineering is designed for students who want to work at the intersection of machine learning and production engineering, rather than just model building. By combining AI foundations with deployment, monitoring, and platform engineering skills, the specialization prepares learners for roles that require managing ML systems end-to-end. Course delivery runs through Sharda University’s LMS, offering 24×7 access to modularized, multimedia learning content so students can study at their own pace alongside other commitments.

2 year
Program Duration

Sharda University Online MCA In MLOPs And AI Engineering Highlights

  • Learning Assistance: To offer 24*7 access to learning resources and a self-paced learning environment, the course is delivered through a cutting-edge LMS (Learning Management System).
  • Course curriculum: The course curriculum is designed, and the content delivery methodology includes modularization, multimedia content, and an LMS.
  • Flexibility: Students are provided access to exclusive resources consisting of multiple online scholarly videos.

Sharda University Online MCA In MLOPs And AI Engineering Eligibility Criteria

Applicants need a three-year bachelor's degree in any discipline from a recognized university to qualify for the Sharda University Online MCA in MLOPs and AI Engineering program. Sharda University Online does not restrict eligibility to specific academic streams, which keeps the MCA in MLOPs and AI Engineering accessible to graduates from varied educational backgrounds. Candidates should ensure their degree is valid and awarded by a recognized institution before applying.

Once this basic qualification is met, applicants can proceed to registration and submit the online application along with supporting documents for verification.

The applicant must have completed a 3 year valid bachelor’s degree in any discipline from a recognized university.

Sharda University Online MCA In MLOPs And AI Engineering Fee

Semester Plan
INR 32,500/-
Annual Plan
INR 65,000/-

No-Cost EMI

Pay your MBA Marketing fees in easy monthly instalments — starting at just ₹8,750/month with zero interest, zero hidden charges, and no credit card required.

3

months

6

months

9

months

12

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Starting from

₹

6,375

/month

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DEFENCE PERSONNEL SCHOLARSHIP

20% off on total program fee

Available for armed forces & defence personnel and their immediate family members. Apply at the time of enrolment.

Sharda University Online MCA In MLOPs And AI Engineering Specialization

Specialization Fee per Semester
Online MCA in AI & generative AI
INR 32,500/-
Online MCA in MLOPs and AI engineering
👉 Currently Viewing
INR 32,500/-
Online MCA in cloud computing
INR 32,500/-
Online MCA in Full stack development
INR 32,500/-
Online MCA in cybersecurity
INR 32,500/-

Sharda University Online MCA In MLOPs And AI Engineering Syllabus

Database Management Systems & SQL
Computational Thinking & Problem Solving
Operating Systems (Unix & the Command Line)
Computer Systems
Digital Logic & Architecture
Mathematics for Computing: Logic
Statistics & Linear Algebra Essentials
Database Systems & SQL Lab
Computational Thinking & Problem Solving Lab
Operating Systems Lab
Data Structures & Algorithmic Problem Solving
Application Development with Python
Applied Machine Learning & AI Foundations
Data Structures Lab
Application Development with Python Lab
Applied Machine Learning & AI Lab
Data Warehousing & Mining
Software
Engineering
Agile & DevOps Practices
Aptitude
Logical Reasoning & Professional Skills
Object-Oriented Programming with Java
Design & Analysis of Algorithms (with Lab)
Object-Oriented Modelling & Design Patterns (with Lab)
IT Project & Product Management. Specialization: -Advanced Machine Learning
Model Deployment & Serving
Data Engineering for ML Systems
Capstone Project / Professional Portfolio. Specialization: -Model Monitoring & Performance Analytics
Kubernetes & Scalable ML Workloads
GenAI Ops (RAG Pipelines
LLMOps & AI Platform Engineering)

Sharda University Online MCA In MLOPs And AI Engineering Examination

The Sharda University Online MCA in MLOps and AI Engineering examination structure rests on three main components: formative assessments, summative assessments, and peer review. These components work together to evaluate learning at different stages of each semester rather than relying on a single test.

All exams are conducted fully online through proctored assessments, allowing students to appear for evaluations without visiting campus. This format suits working professionals who need to balance study with job commitments while still meeting the university’s academic standards.

Main components

Formative Assessments, Summative Assessments, Peer Review these are the main component of Sharda University Online examination.

Exam Mode

The Sharda Online examinations are conducted completely online through proctored exams and assessments.

Sharda University Online MCA In MLOPs And AI Engineering Admission Process

Follow these step-by-step guidelines to complete your application and secure admission smoothly.

Admission to the Sharda University Online MCA in MLOPs and AI Engineering follows three simple steps.

  1. Registration: Visit the official Sharda University Online website and complete the registration process.

  2. Submit Online Application: Fill out the online application form and attach the required supporting documents.

  3. Payment & Verification: Pay the course fee according to your chosen plan, after which the university verifies your application and issues the admission confirmation letter.

A nominal admission fee of 3,500/- applies as part of this process. Once confirmed, students can access the LMS and begin their coursework for the first semester.

INR 500/-

Sharda University Online MCA In MLOPs And AI Engineering Placement

Sharda University Online MCA in MLOps and AI Engineering reports a 90% placement rate with an average package of INR 8 LPA. More than 150 recruiting companies participate in the placement process, giving graduates exposure to a wide range of employers across the technology sector.

Graduates of this specialization are positioned for roles such as AI Engineer, Machine Learning Engineer, MLOps Engineer, Data & ML Engineer, and Cloud AI Engineer, with salaries ranging from INR 6 LPA to 15 LPA depending on the role and experience. The curriculum’s focus on model deployment, Kubernetes, and GenAI Ops aligns directly with the skill sets these positions demand. For working professionals and fresh graduates alike, this industry-aligned structure supports a clear path from coursework to career outcomes.

Sharda University Online MCA In MLOPs And AI Engineering Job Opportunities

Job Profile Average Salary
AI Engineer INR 6-12 LPA
Machine Learning Engineering INR 6-10 LPA
MLOPs Engineer INR 8-14 LPA
Data & ML Engineer INR 7-12 LPA
Cloud AI Engineer INR 8-15 LPA

Sample Certificate

Graduates who complete the 2-year Sharda Online MCA in MLOPs and AI Engineering receive a UGC-approved degree from Sharda University Online, an institution accredited with an A+ grade by NAAC. This credential reflects successful completion of all four semesters, including core computer science coursework and the specialized MLOPs and AI engineering curriculum. The degree carries UGC approval; it holds the same recognition as an on-campus MCA, making it valid for employment and higher education purposes across India.

Student Reviews

I like this specialization because it combines AI development with the practical side of deploying and managing ML models.

Trishank Sharma • Batch of 2023

The MLOps part is especially useful because companies need people who can take an AI model from development to production. Learning tools like Docker, cloud platforms, CI/CD, and model deployment can make the course quite practical.

Sushmita Sen • Batch of 2024

This is not a specialization where you can rely only on theoretical knowledge. Python, machine learning, cloud technologies, and deployment concepts can take time to understand.

Riju Mukharji • Batch of 2022

The Online MCA in MLOps and AI Engineering is a good option for students who want to build a career in artificial intelligence, machine learning, and cloud-based technologies. The specialization focuses on deploying, managing, and maintaining AI and machine learning models in real-world applications.

Prachi Sharma • Batch of 2021

Sharda University Online MCA In MLOPs And AI Engineering FAQs

What career opportunities are available after this MCA?
Graduates can explore roles such as MLOps Engineer, AI Engineer, Machine Learning Engineer, ML Platform Engineer, Cloud AI Engineer, and AI Application Developer.
Yes. Students should be comfortable with programming, particularly Python, along with basic software development concepts.
MLOps combines machine learning and software/DevOps practices to help organizations develop, deploy, monitor, and maintain ML models efficiently.
Yes. The specialization is directly relevant to MLOps, particularly if you develop skills in model deployment, cloud infrastructure, automation, monitoring, and CI/CD.

WRITTEN BY

swanand

Last updated

23 Oct 2026

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Specialization Online MCA in MLOps and AI Engineering
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Duration 2 year
Best Fee INR 1,30,000/-
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