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Key Highlights

  • Learning Format: Blended – Online Instructor-Led + Self-Paced + Virtual Labs
  • Credits: 12 Academic Credits
  • Industry-Endorsed Curriculum aligned with NASSCOM AI Competency Framework and global GenAI benchmarks.
  • 120+ Learning Hours with 60 hours live interactive sessions, 40 hours self-paced, and 20 hours project work.
  • 3 Industry-Grade Projects including an AI-powered chatbot, generative text-to-image model, and business automation tool.
  • Access to GPU-powered AI Labs with tools like OpenAI API, Stable Diffusion, MidJourney, and Hugging Face Transformers.
  • Placement Support with 85% of graduates securing roles in AI Development, Prompt Engineering, and AI Project Management.

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

Project-Based Learning
Academic Load and Credits

12 Academic Credits

Language of Instruction
Who Should Enroll?

Course Curriculum

Modules designed to meet current industry standards.

01

Introduction to Generative AI & LLMs – Foundations, capabilities, and industry use cases.

02

Prompt Engineering & AI Ethics – Crafting prompts, ethical AI usage, bias prevention.

03

Text & Image Generation – Using tools like GPT, DALL·E, Stable Diffusion.

04

AI for Business Automation – Workflow automation using AI APIs.

05

Model Deployment & Scaling – Deploy on AWS, Azure, or GCP.

06

Capstone Project – Real-world generative AI solution for business/creative domain.

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Core Skills
  • Generative AI fundamentals, LLM architecture & training
  • Prompt engineering & fine-tuning AI models
  • AI ethics, bias mitigation, and security compliance
  • Deploying AI models on cloud platforms (AWS, Azure, GCP)
  • Business problem-solving with AI automation
Tools & Frameworks You’ll Master
  • Python, TensorFlow, PyTorch
  • Hugging Face Transformers
  • OpenAI API, LangChain, Stable Diffusion
  • Google Vertex AI, AWS Sagemaker
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Executive Certification in Network Security & Ethical Hacking
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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.

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.

⭐ ⭐ ⭐ ⭐ ⭐
Priya M.Associate Full-Stack
Developer (Banking)
→ Senior QA
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.

⭐ ⭐ ⭐ ⭐ ⭐
Karan S.Manufacturing
Java Developer
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.

⭐ ⭐ ⭐ ⭐ ⭐
Sana R.BCA final-year
student
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.

⭐ ⭐ ⭐ ⭐ ⭐
Vivek T.IT Diploma →
Future Full-Stack
Java Developer

Real People. Real Results​

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

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.

⭐ ⭐ ⭐ ⭐ ⭐
Priya M.Associate Full-Stack Developer (Banking) → Senior QA

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.

⭐ ⭐ ⭐ ⭐ ⭐
Karan S.Manufacturing Java Developer
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.

⭐ ⭐ ⭐ ⭐ ⭐
Sana R.BCA final-year student
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.

⭐ ⭐ ⭐ ⭐ ⭐
Vivek T.IT Diploma → Future Full-Stack Java Developer

Designed for Ambitious Professionals

Roles Offered
  • Tech graduates
  • Data analysts
  • Software engineers
  • Professionals aiming for AI roles
Salary Growth Potential

Average hike of 45% post-completion (as per alumni data)

Top Salary Bracket
Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Tech graduates
  • Data analysts
  • Software engineers
  • Professionals aiming for AI roles
Salary Growth Potential

Average hike of 45% post-completion (as per alumni data)

Top Salary Bracket
Top Hiring Companies

You Asked, We Answered

Do I need prior AI experience?

Basic Python programming knowledge is required; AI experience is not mandatory.

Will I get a certificate?

Yes, you will receive an Industry-Endorsed Certificate co-branded with MSM Grad and industry partners.

Can I do the course while working full-time?

Yes, the blended format is designed for working professionals.

Ready to Deep Dive into the Future of AI?

Seats are limited.
Join the next cohort of advanced AI professionals.

Download Brochure

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