MCA in Artificial Intelligence – Build Expertise in Machine Learning, Intelligent Systems & Automation

Earn your MCA in Artificial Intelligence and gain advanced skills in machine learning, deep learning, natural language processing, neural networks, automation, and enterprise AI implementation.
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Why Choose This Program
  • Industry-focused curriculum for AI & automation
  • Learn from AI engineers & technology experts
  • Hands-on projects in machine learning & neural networks
  • Strong focus on predictive models & AI tools
  • Build analytical & problem-solving skills
  • Practical labs with AI frameworks & simulations
  • MCA in Artificial Intelligence alignment
  • 100% placement assistance & career support
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*No cost EMI

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Overview of MCA in Artificial Intelligence Program
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Build a Future in Machine Learning, Intelligent Systems & Automation

The MCA in Artificial Intelligence at Teksversity provides expertise in AI algorithms, predictive analytics, neural networks, generative AI, and enterprise AI solutions. This program prepares professionals to design, deploy, and manage intelligent systems across industries. Through hands-on labs, AI platforms, and project-based learning, students gain practical experience in data modelling, automation workflows, NLP applications, and deep learning systems. The online mca in artificial intelligence format supports flexible learning for working professionals seeking career advancement.

Learn AI algorithms, machine learning & neural networks

Master tools for automation, predictive modelling & NLP

Build strong analytical & AI implementation skills

Apply AI ethics, governance & documentation

Prepare for AI engineering, analytics & tech roles

Why Choose MCA in Artificial Intelligence in Teksversity?

Teksversity offers a curriculum aligned with global AI standards, covering machine learning, deep learning, generative AI, AI frameworks, NLP, automation, and intelligent system development essential for modern technology careers.

Key Highlights of MCA in Artificial Intelligence

Learning Experience
  • Case studies on AI systems & automation
  • Projects in machine learning, NLP & deep learning
  • Workshops on AI frameworks & tools
  • Leadership & teamwork training modules
  • Problem-solving & predictive modelling tasks
  • Guest talks from AI engineers & experts
  • Integration labs with AI platforms & tools
  • Peer discussions & project reviews
  • Continuous assessments & skills tracking

Download Our Course Brochure

Step into the world of intelligent systems, machine learning, neural networks, and automation with Teksversity’s MCA in Artificial Intelligence. Designed for aspiring AI professionals, this course builds expertise in predictive models, generative AI, deep learning, and enterprise AI solutions.
Inside the Brochure:
  • Detailed MCA in Artificial Intelligence curriculum
  • Career paths & AI specialization options
  • Admission criteria & eligibility information
  • Internship & placement support overview
  • Tools, mentorship & learning assistance
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Offering Universities
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Duration
Course Fee
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jain
ISONASSCOMMSMENSDC
4.5
24 months 4 sem
₹2,00,000
Total program fee
Teksversity Online Admission Process
Starting your academic journey is now simpler than ever with our streamlined online admission process. This guide outlines the straightforward steps, from creating your personal student account and submitting basic application details to uploading necessary documents and completing the secure fee payment, all leading to a quick verification and instant admission confirmation.
Guide to Online Admission Process
Step 1

Sign Up

Create your personal student account
Step 2

Fill Online Application

Enter your basic details online
Step 3

Upload Documents

Submit required certificates and ID proofs.
Step 4

Fees Submission

Complete secure online payment easily
Step 5

Document Verification

Quick review of documents and payment
Step 6

Admission Confirmation

Get instant confirmation of admission
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Frequently asked Questions
The MCA in Artificial Intelligence is a postgraduate program in computer applications that focuses on AI technologies, machine learning, deep learning, data analytics, and intelligent systems. This course equips students with the knowledge and skills needed to develop AI-driven applications and solutions for modern IT and technology industries.
Students with BSc, BCA, BTech, or related IT/Computer Science degrees are eligible. Some institutes also allow non-IT graduates to enroll after completing foundation courses in programming, mathematics, and AI basics.
The program generally lasts 2–3 years, divided into semesters with a combination of theory, practical labs, and AI-based project work for hands-on experience.
The syllabus includes Artificial Intelligence, Machine Learning, Deep Learning, Python and AI Programming, Data Analytics, Neural Networks, Natural Language Processing, Computer Vision, Cloud Platforms, and Emerging AI Technologies.
Students will gain expertise in AI and machine learning algorithms, deep learning model development, data analytics, NLP, computer vision, Python programming, and deploying AI solutions on cloud platforms, making them industry-ready for AI-focused roles.
Graduates can work as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Researcher, or AI Product Developer in AI startups, IT companies, and multinational organizations.
Salary ranges from ₹5–10 LPA for freshers and ₹12–30 LPA+ for experienced professionals, depending on skills, certifications, and industry demand.
Yes. Many institutes provide flexible MCA programs, including online, part-time, or weekend courses, allowing professionals to upskill in AI and machine learning without leaving their jobs.
Absolutely. With the growing demand for AI and machine learning professionals, this MCA program offers high-paying, in-demand careers and global opportunities in AI software development, research, and intelligent system design.
The MCA in Artificial Intelligence opens doors to careers in AI development, machine learning, data science, NLP, computer vision, and AI-based product development. Graduates can work in startups, IT firms, research labs, and multinational companies worldwide, with excellent growth potential in AI and emerging technologies.

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