Certification Program in Generative Artificial Intelligence
This 6-month advanced program equips learners with cutting-edge skills in Generative AI, focusing on Large Language Models (LLMs), AI-powered content generation, prompt engineering, and real-world applications across industries. Designed in collaboration with industry leaders, the program blends theory with intensive hands-on projects, enabling learners to design, deploy, and scale AI-driven solutions.
Cohort Info
- Program Duration: 6 Months (24 Weeks)
- Next Cohort Launch: 1st October 2025
- Application Deadline: 15th September 2025
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
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







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Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
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.
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.
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.
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.
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.
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.
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.
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
- Tech graduates
- Data analysts
- Software engineers
- Professionals aiming for AI roles
Average hike of 45% post-completion (as per alumni data)
Designed for Ambitious Professionals
- Tech graduates
- Data analysts
- Software engineers
- Professionals aiming for AI roles
Average hike of 45% post-completion (as per alumni data)