Course Details

PG Certificate in Applied Generative Engineering & LLM Applications

PG Certificate in Applied Generative Engineering & LLM Applications

Course Overview:
Generative AI is moving rapidly from experimentation to production, creating demand for professionals who can build reliable, scalable and secure AI systems. This program goes beyond prompts and prototypes to teach the complete engineering journey—from LLMs and RAG to agents, deployment, evaluation, security and LLMOps.
With 24 weeks of live, hands-on learning, you’ll work with enterprise technologies, build production-oriented AI applications and finish with a deployable capstone. The program is designed to help you develop practical engineering capabilities aligned with the rapidly evolving demands of Applied AI, LLM and Agentic AI roles.

Our Students Rate This Course

4.5
Trainer

upGrad

Program Fee

Rs 90,000 + GST

Available Seats

Few Seats Left

Schedule

6 Months | Sep 30, 2026 - Mar 27, 2027 | online

Only Few Seats Left

Curriculum

Module 1

Module 1

Python, ML & AI Foundations

Refresh the foundational Python, notebook and data skills required for the program, while getting hands-on with enterprise-grade AI development tools and environments. 

Module 2

Module 2

Python, AI Engineering Environment & LLM Foundations

Establish the programming, systems and conceptual foundation required to build, test and integrate LLM-powered applications. 

Module 3

Module 3

Prompt Engineering, Structured Outputs & LLM Evaluation

Design reliable prompts and structured LLM interactions, and evaluate outputs for correctness, relevance, consistency and safety. 

Module 4

Module 4

Data Preparation, Embeddings & Vector Search

Build robust knowledge-preparation pipelines that make enterprise and domain data searchable and useful for LLM applications. 

Module 5

Module 5

Retrieval-Augmented Generation (RAG) Systems

Design, implement and evaluate end-to-end RAG systems that generate grounded, traceable and context-aware responses. 

Module 6

Module 6

LLM Application Engineering & API Development

Build production-oriented LLM applications with scalable API integrations, efficient request handling and reliable user interactions. 

Module 7

Module 7

Agentic AI Design Patterns & Tool Use

Create tool-using AI agents that can reason over tasks, execute multistep workflows and operate within defined guardrails.

Module 8

Module 8

Multi-Agent Systems & Enterprise Workflows

Architect multi-agent systems for complex workflows while balancing autonomy, orchestration, reliability and human oversight. 

Module 9

Module 9

LLMOps, Deployment, Observability & Security

Deploy and operate LLM and agentic systems with the observability, security, governance and reliability needed for real-world use. 

Module 10

Module 10

Responsible AI, Governance & Domain Adaptation

Assess the ethical, governance and business implications of LLM deployments and adapt solutions responsibly to organisational contexts. 

Module 11

Module 11

Capstone — Production-Grade LLM or Agentic AI Solution

Apply the complete engineering stack to design and build a deployable LLM, RAG or agentic AI solution addressing a real business problem. 

Who Can Apply for the Course?

  • ML Engineers & Generative AI Engineers
  • Data Engineers & Data Scientists
  • Technical Product Engineers & Solution Architects
  • Software Engineers & Backend Developers
  • Technical Product & AI Leaders
  • Implementation Consultant / Professionals
Who can apply

About Program

At iHUB DivyaSampark, we are driven by the belief that young, innovative minds have immense potential to transform the world. Our core mission is to develop highly knowledgeable human resources with top-order, industry-relevant skills.
Whether you are looking for a career transition, a significant salary hike, or to master specialized knowledge, our programs provide the mentorship and practical exposure needed to achieve successful career outcomes and help you secure roles with our network of 300+ hiring partners.

Key Highlights

Production-Focused Curriculum - Covering the complete journey from LLM foundations to building and deploying production-grade AI systems.
AWS-Integrated Learning - with a guided AWS path across Bedrock, OpenSearch, Lambda, API Gateway and SageMaker.
Evaluation & Reliability - with a structured approach to measuring LLM, RAG and AI agent performance.
24 Weeks of Live Learning - with 140+ hours of live online sessions led by industry practitioners.
Production-Grade Capstone - to build and deploy an end-to-end AI system as a portfolio-ready artefact.
Dual Completion Credentials - from iHUB DivyaSampark, IIT Roorkee and upGrad x AWS.

Our Alumni Work At

Hiring Partners

What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I'm Interested in This Program