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MCA in Machine Learning & Artificial Intelligence

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FeatureEasy EMI
FeatureAssured job opportunity
FeatureLimited seats available!
Clock IconApplication Closing soon for Jan 2026 Batch
Percent IconEMI Starts From: ₹5000/-
Desktop IconLive Class:Online
Dollar IconAverage Salary:₹12.0LPA

Course Overview

The Online MCA in Machine Learning & Artificial Intelligence from LP University is designed for tomorrow’s tech leaders and innovators. This advanced program empowers you with a strong foundation in software engineering, programming, data science, machine learning, deep learning, computer vision, and natural language processing. A flexible online format, hands-on projects, and an industry-driven curriculum ensure you’re job-ready for high-growth roles in AI, ML, analytics, and cutting-edge tech sectors.

Course Highlights

  • UGC-Recognized, NAAC-Accredited MCA: Widely respected for employment and higher studies.
  • Modern, Future-Focused Curriculum: Covers Python, R, machine learning algorithms, deep learning, NLP, AI ethics, and more.
  • Live Projects & Case Studies: Build real-world ML/AI applications, participate in hackathons, and work on capstone projects.
  • Leadership in Tech Innovation: Develop problem-solving skills for tomorrow’s technology challenges.
  • Placement & Career Support: Personalized resume services, interview training, and job referrals via Course Connect and LP University.
  • Flexible, 100% Online Format: Study at your own pace with live/recorded classes and collaborative projects.
  • Peer & Alumni Networking: Join a thriving tech community for lifelong learning.
  • Affordable Fees & EMI Options: Accessible for students and professionals nationwide.

Course

Benefits

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Build deep expertise in algorithms, neural networks, data science, and model deployment.

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Work with Python, TensorFlow, Keras, PyTorch, R, SQL, cloud platforms, and AI APIs.

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Access tailored resume support, interview coaching, and direct job referrals to leading tech companies.

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Grow Your Tech Network: Build valuable connections with leading faculty, experienced alumni, and industry mentors through interactive webinars, expert-led masterclasses, and vibrant coding communities.

CourseConnect Benefits

What additional you get from CourseConnect

  • benefitMock Interview➔
  • benefitResume Building➔
  • benefitAlumni Network➔
  • benefitCareer Guidance➔

Need to consult an Expert?

Have queries or need guidance? Our experts can help you decide.

Eligibility

  • »Bachelor's degree (B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) with Mathematics* at 10+2 level or Graduation level.
  • » For candidates having no Computer or Mathematics* background, Bridge course(s) will be applicable as follows:
  • » No Mathematics background: 01 Mathematics course
  • » No Computer background: 01 Computer course
  • » No Mathematics and No Computer background: 01 Mathematics and 01 Computer course
  • » *Mathematics/ Statistics/ QT/ Business Mathematics
  • » Eligibility, admission criteria or any other condition mentioned here in or otherwise for admission to any Program is subject to change as prescribed by the university.
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Course Syllabus

S.NoCreditSubject
1Software Engineering Practices
2Data Warehousing and Data Mining
3Data Communication and Networking
4Fundamentals of Computer and C Programming
5Object Oriented Programming using C++
6Linux and Shell Scripting
7Skill Enhancement Course I
S.NoCreditSubject
1Programming in Java
2Introduction to Big Data
3Mathematical Foundation for Computer Science
4Cloud Computing
5Advanced Data Structures
6Web Technologies
Personalized counseling helps you choose the best career fit course.
Only accredited and top ranked university programs are made available here.
Complete support for applications, documents, and all required formalities provided.
Placement training ensures you connect with top recruiters for jobs.
Our students consistently achieve better salaries and rapid career growth.

ProfessionalProfiles

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AI Developer / AI Specialist

AVG SALARY14.0 LPA
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Data Scientist

AVG SALARY15.0 LPA
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Research Scientist

AVG SALARY15.0 LPA
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Business Intelligence Engineer

AVG SALARY12.0 LPA
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Machine Learning Engineer

AVG SALARY15.0 LPA

TopRecruiters

accenture
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adobe
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FAQs

How does Course Connect guarantee placement support for the MCA in ML & AI?

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Comprehensive career services include resume writing https://courseconnect.in/resumebuilding, interview training https://courseconnect.in/mockinterview, mentorship, and job referrals to leading tech employers.

Will I work on real-world AI/ML projects?

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Yes. The curriculum is project-based, featuring live assignments, industry case studies, hackathons, and a capstone project.

Is the program suitable for non-programmers or non-engineers?

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Foundational modules are included, but a basic understanding of programming is recommended for best results.

Does the program cover deep learning, NLP, and cloud-based AI?

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Yes. You’ll gain hands-on skills in deep learning, NLP, AI APIs, and deploying models on cloud platforms.

How flexible is the learning model?

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The program is fully online, allowing you to attend live interactive sessions or watch recorded lectures whenever it suits you. This flexibility means you can balance your studies with work, personal commitments, and other priorities without compromising on learning quality.

Is LP University’s Online MCA in ML & AI recognized by employers?

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Yes. The degree is UGC-recognized, NAAC-accredited, and respected by leading IT and AI recruiters.

What support do I receive during my MCA?

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24/7 academic and tech support, personalized career mentoring, and a dynamic AI/ML peer network.

Who should pursue this MCA?

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Aspiring ML/AI engineers, data scientists, software developers, and anyone passionate about artificial intelligence and innovation.

What’s the application process?

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Simple online application—upload your graduation documents, no entrance exam required. Admissions are now open.

Are there opportunities for networking and placements?

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Yes. Participate in webinars, coding workshops, and access an extensive recruiter network for robust placements.

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