Name: Generative AI Course Online - MSM Grad
Author: Bijaylaxmi

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

Key Highlights

Learning Format: Blended – Online Instructor-Led + Self-Paced + Virtual Labs
Credits: 3 Academic Credits
Industry-Endorsed Curriculum aligned with NASSCOM AI Competency Framework and global GenAI benchmarks.
90 Learning Hours with 30 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.

Why should you take this course?

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

Need to know more?

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

Need to know more?

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

Real People. Real Results

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

30% Salary Hike

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

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

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

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

40% Salary Hike

25% Salary Hike

Designed for Ambitious Professionals

Roles Offered

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

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.

Certification Program in Generative Artificial Intelligence

Duration

Cohort Starts on

Application Deadline