Post Graduate Program in Generative AI

In Collaboration With Kennedy University of Baptist ibm_mircosoft

The 12-Month Generative AI Program by Learning Saint is a comprehensive, industry-aligned certification designed to equip learners with deep expertise in Large Language Models (LLMs), Generative AI architectures, prompt engineering, AI agents, multimodal systems, and real-world AI deployment.

This program goes beyond surface-level AI tools and focuses on how generative systems are built, trained, optimized, and integrated into business workflows. Learners graduate with hands-on experience across text, image, audio, video, and agent-based AI systems, making them job-ready for high-impact roles in AI, data science, product, and engineering.

Upskill for Your Dream Job

placed

+

Students Placed

Highest

LPA

Highest Salary

%

Average Salary Hike

+

Hiring Partners

Join The Best Generative AI Program

Learn the real-world application of Generative AI, Large Language Models (LLMs), and AI Agents and build intelligent systems that transform how businesses operate. This career-focused program is ideal for graduates and professionals who want to master Generative AI from fundamentals to deployment. You will gain hands-on experience with modern GenAI tools, real industry use cases, and production-ready AI workflows to prepare for high-demand AI roles.

Winner Icon
Job Assurance

Our Generative AI program is designed with a structured career support and job-assurance pathway, providing eligible learners opportunities to interview with a wide network of partner organizations hiring for Generative AI, AI engineering, and applied AI roles. The program focuses on building real-world skills that align with current industry hiring needs.

Winner Icon
Dedicated Career Services

Learners receive end-to-end career support including resume and portfolio development, LinkedIn and GitHub profile optimization, mock interviews, career mentorship, and one-on-one career counselling. Our dedicated career services team ensures you are prepared to confidently apply for Generative AI and AI-driven roles.

Winner Icon
Real-World GenAI Projects

Implement what you learn through 25+ real-world Generative AI projects and case studies, including LLM-powered chatbots, RAG-based knowledge systems, AI agents, and content automation workflows. All projects are designed by industry experts to ensure practical relevance and job readiness.

Winner Icon
Job-Specific GenAI Curriculum

Learn the practical applications of Generative AI, including Python, LLMs, prompt engineering, vector databases, AI agents, and GenAI deployment, while developing a deep understanding of how modern AI systems are built, optimized, and scaled across industries..

Winner Icon
Live Learning Modules

Our expert faculty delivers a robust Generative AI curriculum through live interactive sessions, hands-on labs, and guided project implementations. The learning modules are designed to help you build confidence in applying Generative AI concepts to real business and enterprise use cases.

Winner Icon
Industry-Led Hackathons & Challenges

Strengthen your portfolio and problem-solving skills by participating in industry-aligned hackathons and Generative AI challenges. These challenges are designed to simulate real-world business problems, helping you gain practical exposure and stand out in interviews and hiring processes.

Shape Thumb
Shape Thumb
Shape Thumb

Trusted By Millions Of Learners Around The World

Why Learning Saint?

Learning Saint is trusted globally for delivering career-focused, mentor-led, and outcome-driven programs in emerging technologies.

What sets Learning Saint apart:

  • Industry-aligned curriculum designed with real hiring needs in mind
  • Expert mentors with hands-on experience in AI, ML, and enterprise systems
  • Project-based learning with real-world datasets and use cases
  • Strong focus on practical implementation, not just theory
  • Career guidance, portfolio building, and interview preparation support
  • Continuous curriculum updates aligned with the fast-evolving AI ecosystem

Learning Saint doesn’t just teach tools — it builds capable AI professionals.

About the Program

The Generative AI Program is structured as a 12-month progressive learning journey, moving from AI fundamentals to advanced generative systems and production-grade deployment.

The program balances:

  • Conceptual foundations
  • Hands-on labs
  • Industry projects
  • Capstone development
  • Specialization tracks

Learners work with modern AI frameworks, cloud platforms, and real business problems to ensure immediate workplace applicability.

Key Highlights
  • 12 months of structured, in-depth learning
  • End-to-end Generative AI lifecycle coverage
  • Multiple specialization and elective options
  • Industry-grade capstone project
  • Portfolio-ready projects and GitHub guidance
  • Career mentoring and role transition support
  • Live mentor-led sessions and recorded resources
  • LLMs, RAG systems, AI agents, and multimodal AI
Course Curriculum
  • Introduction to Artificial Intelligence and Machine Learning
  • Linear Algebra, Probability, and Statistics for AI
  • Python for AI and Data Processing
  • Python for AI and Data Processing
  • Supervised and Unsupervised Learning
  • Neural Networks and Backpropagation
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs), LSTMs, GRUs
  • Recurrent Neural Networks (RNNs), LSTMs, GRUs
  • Deep learning frameworks (TensorFlow & PyTorch)
  • Text preprocessing and embeddings
  • Language models and word representations
  • Attention mechanisms and transformers
  • Text classification, summarization, and sentiment analysis
  • Foundations of Generative AI
  • Transformer architectures in depth
  • Large Language Models (LLMs) – GPT, LLaMA, Claude concepts
  • Prompt engineering and prompt optimization
  • Fine-tuning and parameter-efficient tuning (LoRA, PEFT)
  • Retrieval Augmented Generation (RAG) systems
  • Vector databases and semantic search
  • Multimodal AI (text, image, audio, video)
  • Diffusion models and generative image systems
  • AI agents and autonomous workflows
  • Model serving and APIs
  • Cloud deployment (AWS/GCP/Azure concepts)
  • Monitoring, scaling, and cost optimization
  • Responsible AI, ethics, and governance
  • Security and compliance in AI systems
  • End-to-end Generative AI solution
  • Business problem identification
  • Model development and deployment
  • Documentation and presentation
  • Portfolio and resume integration
Course Images

Who Can Apply for the Course?

  • Software engineers and developers
  • Data analysts and data scientists
  • AI/ML enthusiasts and career switchers
  • IT professionals and system architects
  • Product managers and tech consultants
  • Final-year students and graduates (STEM preferred)

Basic programming knowledge is recommended, but structured onboarding support is provided.

who can apply

What Roles Can a Person Trained in Generative AI Pursue?

Graduates of this program can target roles such as:

Generative AI Engineer

LLM Engineer

Applied AI Scientist

AI Solutions Architect

AI Product Specialist

AI / ML Engineer

Data Scientist (GenAI Focus)

Prompt Engineer / AI Workflow Designer

Tools to Master

tools tools tools tools tools tools tools tools tools

Languages and Tools Covered

tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
tools
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb

Specializations & Electives Overview

Learners can choose specialization tracks based on career goals:

  • Generative AI for Enterprise Applications
  • AI Agents and Autonomous Systems
  • GenAI for Data Science & Analytics
  • Generative AI for Product & UX
  • AI for Healthcare, Finance, and Marketing
  • Multimodal AI Systems
Shape Thumb
Shape Thumb
Shape Thumb

Participate in Weekday Problem-Solving Sessions led by Industry Experts

Engage in problem-solving sessions guided by industry professionals throughout the weekdays.
Enhance problem-solving skills through active participation on platforms like HackerRank and HackerEarth.
Acquire daily insights into new problem-solving techniques and strategies.
Access personalized doubt resolution sessions whenever needed to ensure continual learning and growth.
Shape Thumb
Shape Thumb

Alumni Highlights

  • 200+
    Global Companies
  • $122K PA
    Average CTC
  • $250K PA
    Highest CTC
  • 87%
    Average Salary Hike

Top Generative AI Case Studies at Learning Saint

Building an LLM-Powered Intelligent Chatbot Using RAG

Enterprise Knowledge Assistant: This case study focuses on designing and deploying an intelligent chatbot powered by Large Language Models and Retrieval-Augmented Generation (RAG). Learners work with unstructured enterprise documents to build a system capable of answering contextual queries with high accuracy. The project involves embedding generation, vector database integration, prompt optimization, and response evaluation. The goal is to simulate real-world enterprise knowledge assistants used in customer support, HR, and internal operations.

Generative AI–Based Document Summarization and Insight Extraction

Automated Document Intelligence: This case study involves building a Generative AI system that processes large volumes of documents and generates concise summaries and actionable insights. Learners apply transformer-based models to analyze reports, legal documents, and business files. The objective is to automate document understanding, improve information retrieval, and demonstrate how GenAI systems are used for decision support in real-world business environments.

Designing Autonomous AI Agents for Workflow Automation

Designing Autonomous AI Agents for Workflow Automation This case study focuses on creating autonomous AI agents capable of performing multi-step tasks such as data retrieval, reasoning, decision-making, and execution. Learners explore agent frameworks, tool calling, memory management, and task orchestration. The goal is to understand how AI agents are applied in modern enterprises for process automation, productivity enhancement, and intelligent decision support systems.

Shape Thumb
Shape Thumb

By the End of This Program, You’ll Achieve

Strong conceptual understanding of Generative AI systems, including Large Language Models (LLMs), transformers, and foundation models across text, image, and multimodal data.
Proficiency in extracting insights and generating intelligent outputs from structured, semi-structured, and unstructured data using advanced Generative AI techniques.
Expertise in prompt engineering, prompt optimization, and fine-tuning strategies to maximize the performance and reliability of generative models.
Hands-on capability to build and deploy LLM-powered applications, including chatbots, copilots, knowledge assistants, and AI-driven automation tools.
In-depth understanding of Retrieval-Augmented Generation (RAG) and the integration of vector databases for scalable and context-aware AI systems..
Ability to design autonomous AI agents capable of reasoning, decision-making, tool usage, and multi-step workflow execution.
Strong knowledge of AI ethics, governance, and responsible AI practices, ensuring safe, compliant, and explainable AI solutions.
Practical experience in deploying, monitoring, and optimizing Generative AI models using cloud platforms and MLOps best practices.
Confidence to work with enterprise-scale Generative AI use cases, including content generation, document intelligence, conversational AI, and business process automation.
A portfolio of real-world Generative AI projects and a capstone solution, demonstrating job-ready skills aligned with current industry demands.
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb

Generative AI Batch Profile

batch_profile

Career Support and Mentorship

Receive personalized feedback on weekly Generative AI assignments and case studies, guided by industry professionals and subject matter experts specializing in LLMs, AI agents, and applied GenAI systems.
Participate in multiple mock interviews focused on Generative AI roles, conducted by experienced AI engineers, applied scientists, and senior practitioners from startups and enterprise AI teams.
Gain lifelong access to the Learning Saint Learning Portal, including updated GenAI content, tools, frameworks, and continuous learning resources aligned with industry advancements.
Benefit from ongoing career support through the Learning Saint Alumni Network, including peer learning, mentorship opportunities, job alerts, and professional networking in AI-focused roles.
Work on 20+ guided industry-aligned Generative AI projects and case studies, led by domain experts and designed to simulate real-world business challenges involving LLMs, RAG systems, and AI automation.
Receive dedicated placement and career transition support, including resume optimization, GitHub and portfolio reviews, interview preparation, and role-mapping for Generative AI, AI engineering, and applied AI positions.
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb
Let’s Learn Together

The Learning Saint Advantage

Individualised Support and Direction
  • 1:1 Free Unlimited Doubt clearing sessions
  • 1:1 Student support
  • Challenges during hackathons to hone your talents
  • E-portfolio to display your skills
  • 1:1 Personality development classes
Get Ready with Domain Experts
  • Learn from top Data Scientist Educators from the Country through a Live Online classroom.
  • 24X7 Support from Teaching Assistants for Help in Assignments, Discussions, and Doubts Resolutions.
Industry Leaders for Professional Grooming
  • Know what’s Happening inside the industry, and What’s really required to make it through by engaging with Data Scientist
  • Accompany them with sessions on Hiring, Day-to-Day Life of a Data Scientists etc.
Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb

Get Every General Answers From Here

The Generative AI program is a 12-month structured learning program designed to take learners from foundational AI concepts to advanced Generative AI systems. The duration allows sufficient time for conceptual understanding, hands-on projects, specialization electives, and a comprehensive capstone project.
This program is ideal for software developers, data analysts, data scientists, IT professionals, AI enthusiasts, career switchers, and final-year graduates. While prior programming experience is recommended, the program includes foundational modules to support learners transitioning into Generative AI roles.
You will learn Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, multimodal AI, model fine-tuning, deployment, and MLOps concepts. The program focuses on building, deploying, and scaling real-world Generative AI applications used in industry today.
Yes. The program includes 25+ hands-on projects and industry-aligned case studies, such as LLM-powered chatbots, document intelligence systems, AI agents, and GenAI automation workflows. These projects are designed to help learners build a strong, job-ready portfolio.
Learning Saint offers dedicated career support, including resume and portfolio building, GitHub and LinkedIn optimization, mock interviews, career mentorship, and placement assistance. Learners also gain access to the Learning Saint Alumni Network and ongoing career guidance.
The program includes a structured career support and job-assistance framework. Job opportunities depend on individual performance, project outcomes, interview readiness, and market conditions. Learning Saint focuses on making learners job-ready through skills, projects, and interview preparation.
You will work with Python, OpenAI APIs, Hugging Face, LangChain, LlamaIndex, vector databases (such as FAISS and Pinecone), TensorFlow, PyTorch, FastAPI, and cloud deployment tools. The curriculum is regularly updated to reflect current industry standards.
The program includes a blended learning model with live instructor-led sessions, interactive labs, recorded content, and guided projects. This ensures flexibility while maintaining structured mentorship and accountability.
Yes. Upon successful completion of the program and capstone project, learners receive a Professional Certificate in Generative AI from Learning Saint, which can be added to resumes, LinkedIn profiles, and professional portfolios.
Learning Saint’s program stands out due to its depth, 12-month duration, real-world focus, mentor-led instruction, strong project portfolio, and career-oriented approach. The curriculum emphasizes practical implementation, not just theory, ensuring learners are prepared for real Generative AI roles.
Shape Thumb
Shape Thumb

“Before enrolling in the Generative AI program at Learning Saint, I had experience in software development but very limited exposure to large language models and real-world AI systems. This 12-month program completely changed my understanding of how Generative AI actually works in production environments. The curriculum is extremely well-structured, starting from core AI concepts and gradually moving into LLMs, RAG systems, and AI agents. What stood out the most was the hands-on approach—every concept was backed by practical labs and real use cases. The mentors were knowledgeable, patient, and industry-focused. Today, I confidently work on GenAI-based automation projects at my organization, and this program played a major role in that transition.”

Michael R.
Austin, Texas (Software Engineer)

“I was looking for a program that went beyond surface-level AI tools, and Learning Saint’s Generative AI program delivered exactly that. As a data analyst working in the US tech ecosystem, I needed deep clarity on how models like GPT, transformers, and retrieval-based systems are built and deployed. The course content is detailed, updated, and aligned with what companies are actually using today. I appreciated the strong focus on Python, model fine-tuning, and deployment workflows. The capstone project helped me build a portfolio-worthy solution that I now showcase in interviews. This program significantly strengthened my technical confidence and expanded my career opportunities in AI-driven roles.”

Sarah L.
San Jose, California (Data Analyst)

“As a product manager, I wanted to understand Generative AI from a technical and business perspective, and this program exceeded my expectations. Learning Saint does a great job of explaining complex AI concepts in a structured and practical way. The modules on LLM architecture, prompt engineering, and AI agents were especially valuable for my role. I now collaborate more effectively with engineering teams and make informed decisions on AI product strategy. The case studies were realistic and mirrored challenges faced by US-based companies. This program helped me bridge the gap between product vision and technical execution, which is critical in today’s AI-driven market.”

Daniel H.
New York, New York (Product Manager – AI Platforms)

“I transitioned into AI from a general IT background, and the Learning Saint Generative AI program provided the right balance of fundamentals and advanced concepts. The first few months helped me build strong foundations in Python, machine learning, and deep learning, while the later stages focused heavily on Generative AI and LLM-based applications. The mentors were supportive and always encouraged problem-solving rather than rote learning. The program demanded effort, but it was worth it. By the end, I had built multiple GenAI projects and gained clarity on my career direction. For anyone in the US looking to seriously enter the AI field, this program offers a solid, career-focused pathway.”

Emily T.
Chicago, Illinois (Career Switcher – IT to AI)

“What impressed me most about Learning Saint’s Generative AI program was its real-world relevance. As someone already working in cloud and infrastructure, I wanted to learn how GenAI systems are deployed, monitored, and scaled. The MLOps and deployment modules were extremely practical and aligned with enterprise practices in the US market. Topics like vector databases, RAG pipelines, and API-based model serving were explained clearly with hands-on implementations. The instructors emphasized responsible AI and cost optimization, which are critical in production environments. This program didn’t just teach me tools—it taught me how to think like a Generative AI engineer.”

James W.
Seattle, Washington (Cloud & AI Engineer)
Testimonials

Students Feedback

At Learning Saint, student success is at the heart of everything we do. Our programs are designed to be practical, industry-relevant, and fully outcome-driven—and our learners see the difference. Every day, thousands of students trust us to guide their career journey, and their experiences reflect the quality, support, and transformation we aim to deliver.

People Love To Learn With Us
90%

Students Complete Course Successfully

9/10

Users reported better learning outcomes.

Shape Thumb
Shape Thumb
Shape Thumb
Shape Thumb
WhatsApp