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Key Highlights

  • Learning Mode: Blended – Online Instructor-Led + Self-Paced + Virtual Labs
  • Credits: 12 Academic Credits
  • Comprehensive AI Coverage – From ML fundamentals to advanced AI deployment.
  • 110 + Hours of Training, including 60 hours live, 40 hours self-paced, and 10 hours project mentoring.
  • 3 Real-World Projects across NLP, computer vision, and predictive analytics.
  • Access to AI Development Labs with Python, TensorFlow, PyTorch, and cloud ML tools.
  • Placement-Driven Learning with 80% alumni securing roles in AI engineering and data science.

Course Highlights

  • Program Duration: 10 Months
  • Number of Projects: 6 Applied Projects + 1 Capstone
  • Live Sessions: 160 Hours (Instructor-Led)
  • Self-Paced Learning: 80 Hours of structured assignments
  • Credit Load: 18 Academic Credits
  • Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
  • Language of Instruction: English

About Program

Course Curriculum

Modules designed to meet current industry standards.

01

Foundations of AI & ML – Concepts, history, and industry applications.

02

Data Engineering for AI – Cleaning, preprocessing, and feature selection.

03

Machine Learning Models – Supervised, unsupervised, and ensemble methods.

04

Natural Language Processing – Sentiment analysis, topic modeling, chatbot development.

05

Computer Vision Applications – Image classification, object detection, face recognition.

06

Capstone Project – AI system solving a real-world business or social problem.

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

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Executive Certification in Network Security & Ethical Hacking
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Executive Certification in Network Security & Ethical Hacking
more

Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Priya M.

Associate Full-Stack Developer Senior QA

I wanted to be in charge of features from start to finish after years of working in manual and automated testing. It was feasible with sprint work because of the 10-month cadence and the 90-hour live sessions. Clean Java basics were promoted by mentors first, followed by REST and Spring Boot. I wired a simple Jenkins pipeline and used React + Spring Boot + MySQL to rebuild a small internal tool. Just clearer ownership and fewer regressions, nothing spectacular. HR screening was aided by the NASSCOM-validated curriculum; the talking was done by the capstone and repository.

40% Salary Hike

Karan S.

Manufacturing Java Developer

I was on a monolith from JSP/Servlets. At last, the sequence—Core Java → Hibernate → Spring Boot → CI/CD—fit into a contemporary workflow. Code reviews compelled me to abandon “quick fixes” in favor of appropriate layers and tests, and the Oracle/MySQL and environment configuration labs were useful. I separated out a service, containerized it, and set up a basic build using Maven + Jenkins, but we didn’t completely revamp our platform in a single day. Handovers are more transparent and deployments are more tranquil.

25% Salary Hike

Sana R.

BCA final-year student

Tutorial projects weren’t enough for me. I could create a CRUD application by the middle of the program using MongoDB for storage, Spring Boot APIs on the back, and React on the front. Git hygiene, meaningful commits, and a README that can be run by another person were important to the faculty. In addition to UI, my capstone demo concentrated on design decisions. Interviews now focus on trade-offs I made—validation, pagination, and auth—rather than just buzzwords, though I’m still learning.

25% Salary Hike

Vivek T.

IT Diploma → Future Full-Stack Java Developer

The combination of 70 hours of self-paced work I could complete after shifts and brief, targeted live classes made the blended format important.” After learning the fundamentals of HTML, CSS, and JS, I moved a small project from JSP/Servlets to Spring Boot and added basic tests and a continuous integration step. I can describe the entire pipeline and have deployed a demo to a cloud free tier. I left with a portfolio that I can continue to grow, but no promises of a job were made.

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Priya M.

Associate Full-Stack Developer Senior QA

I wanted to be in charge of features from start to finish after years of working in manual and automated testing. It was feasible with sprint work because of the 10-month cadence and the 90-hour live sessions. Clean Java basics were promoted by mentors first, followed by REST and Spring Boot. I wired a simple Jenkins pipeline and used React + Spring Boot + MySQL to rebuild a small internal tool. Just clearer ownership and fewer regressions, nothing spectacular. HR screening was aided by the NASSCOM-validated curriculum; the talking was done by the capstone and repository.

40% Salary Hike

Karan S.

Manufacturing Java Developer

I was on a monolith from JSP/Servlets. At last, the sequence—Core Java → Hibernate → Spring Boot → CI/CD—fit into a contemporary workflow. Code reviews compelled me to abandon “quick fixes” in favor of appropriate layers and tests, and the Oracle/MySQL and environment configuration labs were useful. I separated out a service, containerized it, and set up a basic build using Maven + Jenkins, but we didn’t completely revamp our platform in a single day. Handovers are more transparent and deployments are more tranquil.

25% Salary Hike

Sana R.

BCA final-year student

Tutorial projects weren’t enough for me. I could create a CRUD application by the middle of the program using MongoDB for storage, Spring Boot APIs on the back, and React on the front. Git hygiene, meaningful commits, and a README that can be run by another person were important to the faculty. In addition to UI, my capstone demo concentrated on design decisions. Interviews now focus on trade-offs I made—validation, pagination, and auth—rather than just buzzwords, though I’m still learning.

25% Salary Hike

Vivek T.

IT Diploma → Future Full-Stack Java Developer

The combination of 70 hours of self-paced work I could complete after shifts and brief, targeted live classes made the blended format important.” After learning the fundamentals of HTML, CSS, and JS, I moved a small project from JSP/Servlets to Spring Boot and added basic tests and a continuous integration step. I can describe the entire pipeline and have deployed a demo to a cloud free tier. I left with a portfolio that I can continue to grow, but no promises of a job were made.

Designed for Ambitious Professionals

Roles Offered
  • Data Engineer
  • Big Data Analyst
  • ETL Developer
  • Cloud Data Engineer
  • Data Platform Administrator
Salary Growth Potential

40% Average Hike
Post Course Completion

Top Salary Bracket

Entry Level: ₹8–12 LPA

Mid Level: ₹15–24 LPA

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Data Engineer
  • Big Data Analyst
  • ETL Developer
  • Cloud Data Engineer
  • Data Platform Administrator
Salary Growth Potential

40% Average Hike
Post Course Completion

Top Salary Bracket

Entry Level: ₹8–12 LPA

Mid Level: ₹15–24 LPA

Top Hiring Companies

You Asked, We Answered

Ready to Deep Dive into the Future of AI?

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Join the next cohort of advanced AI professionals.

Download Brochure

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