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LLM Engineering and RAG in Production

Accelerate your Career

Learn LLM engineering and Retrieval-Augmented Generation (RAG) for production-ready AI apps. Build scalable, efficient, and reliable solutions.

12 Modules
with Certifications
8:00 Hours
of Recorded Content
0.0 Ratings
by 1566 Learners
English
Language
Paid Course
Get this Course @ ₹4,976
1566 enrolled in this course
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LLM Engineering and RAG in Production

A hands-on, industry-focused program that teaches how to fine-tune large language models, design retrieval-augmented generation (RAG) systems, build secure conversational agents, and deploy scalable LLM services. Combines theory (transformers, embeddings, evaluation) with practical modules drawn from the course table such as Fine Tuning Pretrained LLM, Chat with any PDF using LLAMA2, and SQL Query LLM using Google Gemini.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Transformers architecture and attention refresher

No items available.

M2

Observability, logging, and user analytics for LLM apps

No items available.

M3

Cost optimization and model selection strategies.

No items available.

M4

Serving LLMs with FastAPI, streaming responses, and batching

No items available.

M5

LLM safety, hallucination mitigation, and guardrails.

No items available.

M6

Document ingestion pipelines (PDF, HTML, YouTube transcripts).

No items available.

M7

Building RAG pipelines and hybrid search.

No items available.

M8

Retrieval fundamentals; vector stores and FAISS

No items available.

M9

Prompt engineering and evaluation metrics

No items available.

M10

Fine-tuning strategies and parameter-efficient tuning

No items available.

M11

Tokenization, embeddings, and wordpiece vs BPE

No items available.

M12

Final capstone integration and deployment

No items available.

Capstone Project

End-to-End RAG Product Development

Apply your knowledge by building a production-grade Retrieval-Augmented Generation (RAG) system that integrates ingestion, vector storage, LLM orchestration, and monitoring.

Chat with any PDF using RAG
PROJECT

Chat with any PDF

Ingest multi-document PDFs and build a RAG-powered chat interface using LLAMA2.

YouTube Summarizer LLM App
PROJECT

YouTube Summarizer LLM App

Build a pipeline to fetch transcripts, summarize content, and serve results via a web UI.

SQL Query LLM
PROJECT

SQL Query LLM

Implement natural-language-to-SQL conversion using Google Gemini with schema-aware prompts.

End-to-End RAG Product
CAPSTONE

End-to-End RAG Product

Develop a complete RAG system: ingestion, vector store, LLM orchestration, UI, and monitoring.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
PyTorch
Hugging Face Transformers
LangChain
FAISS / Weaviate / Milvus
PostgreSQL / Redis
FastAPI / Streamlit
Docker / Kubernetes
GitHub Actions
Terraform
AWS SageMaker
Google Gemini APIs
LLAMA2
OpenAI-compatible APIs
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Engineer production-ready LLM applications with retrieval-augmented generation pipelines.
Integrate vector databases and embeddings for scalable knowledge retrieval.
Deploy AI systems using Docker, Kubernetes, and cloud-native workflows.
Implement monitoring, evaluation, and bias mitigation strategies for enterprise AI.
Collaborate on AI projects using GitHub Actions, CI/CD pipelines, and Terraform automation.

Course Stats

₹12.5 LPA

Average Salary

₹40 LPA

Highest Salary

92%

Salary Hike

9,200+

Job Vacancies

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
Award 1
VERIFIED STUDENT REVIEWS

What Our Students Say

See how Pantech courses accelerated career transitions across India.

No Reviews Available

Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.

Need immediate counseling?

+91 8925533488/89

HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

Do I need GPU access?

Recommended for fine-tuning; cloud credits and guidance provided.

Prior experience required?

Comfortable with Python and basic ML; prior transformer exposure helpful.

Will code be provided?

Full notebooks, deployment templates, and CI/CD pipelines included.

Is there placement support?

Resume review, interview prep, and hiring partner introductions.

How is model safety covered?

Modules on guardrails, red-teaming prompts, and content filters.

Are vector DBs taught?

FAISS, Milvus, Weaviate and hosted options are covered.

EXPLORE MORE

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