LoRA Training Online

12 Lesson

40 Hours

Add to Wishlist

igmGuru offers a comprehensive LoRA (Low-Rank Adaptation) training program designed for learners of all experience levels. The course covers essential concepts in parameter-efficient fine-tuning of large language models, including LoRA fundamentals, low-rank matrix adaptation, QLoRA, AdaLoRA, transformer model fine-tuning, dataset preparation, model evaluation, and deployment. Our LoRA course curriculum is crafted by industry professionals with extensive experience in AI model optimization, NLP, and modern deep learning techniques. Enroll in our LoRA training to gain hands-on experience, work on real-world projects, and learn how to leverage LoRA and related techniques to efficiently fine-tune large language models, optimize model performance, and implement state-of-the-art solutions for NLP tasks.

Enroll Now

Overview

Prerequisites

Basic machine learning and deep learning knowledge
Understanding of transformer models
Linear algebra and calculus fundamentals
Python proficiency
Experience with PyTorch or TensorFlow
Familiarity with NLP and transfer learning
Basic understanding of LoRA concepts

What You Will Learn

Understand the concept of Low-Rank Adaptation (LoRA)
Apply LoRA to fine-tune large language models efficiently
Implement LoRA using PyTorch or Hugging Face
Prepare datasets for LoRA-based fine-tuning
Train and evaluate LoRA-adapted models
Optimize model performance using LoRA
Combine LoRA with other parameter-efficient methods
Learn best practices for LoRA deployment

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to PEFT (Parameter-Efficient Fine-Tuning)

1. What PEFT means

2. Why PEFT is used for large models

3. Different PEFT methods (LoRA, Adapters, Prefix Tuning)

Lesson 2 - LoRA Basics

1. What LoRA is

2. Why LoRA is efficient

3. How LoRA is different from full fine-tuning

Lesson 3 - Transformer Basics

1. Low-rank matrices explained simply

2. How LoRA updates model weights

3. Why LoRA saves memory and compute

Lesson 4 - Using LoRA in PyTorch

1. Setting up environment

2. Adding LoRA layers to a model

3. Running a simple LoRA training script

Lesson 5 - Using LoRA with Hugging Face

1. What the PEFT library is

2. Loading a model with LoRA

3. Fine-tuning a model using LoRA in a few steps

Lesson 6 - Preparing Data for LoRA

1. Cleaning and formatting text data

2. Loading datasets for training

3. Creating batches for LoRA training

Lesson 7 - Training LoRA Models

1. Choosing hyperparameters

2. Running the training process

3. Avoiding common training issues

Lesson 8 - Evaluating Your LoRA Model

1. Checking model accuracy or quality

2. Comparing LoRA vs full fine-tuning

3. Fixing common evaluation problems

Lesson 9 - Advanced LoRA Versions

1. QLoRA: Using quantization to save even more memory

2. AdaLoRA: Adaptive LoRA that adjusts automatically

3. Combining LoRA with other PEFT methods

Lesson 10 - Deploying LoRA Models

1. Exporting and saving LoRA models

2. Running them in real apps

3. Optimizing for speed and memory

Lesson 11 - Projects & Case Studies

1. Real examples of LoRA in NLP

2. Simple hands-on tasks

3. End-to-end project practice

Lesson 12 - Latest Updates & Trends

1. New research on LoRA

2. Multimodal LoRA (text + images + audio)

3. Future use cases and improvements

Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

Drop Us a Query

Fields marked * are mandatory

Name

Phone Number

Comments

Request For Live Demo Class

Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 17 Jun 2026
Weekday Batch 22 Jun 2026
Weekend Batch 20 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

LoRA Certification

We will provide a Course Completion Certificate to all learners who successfully finish the LoRA training program. This certificate validates your knowledge of parameter-efficient fine-tuning, LoRA fundamentals, low-rank matrix adaptation, model optimization, and advanced techniques like QLoRA and AdaLoRA. It demonstrates your ability to apply LoRA to efficiently fine-tune large language models, optimize model performance, and solve real-world NLP tasks. This certificate showcases your proficiency in leveraging state-of-the-art fine-tuning techniques to enhance model efficiency and achieve cutting-edge results in AI-powered applications.

Reviews

Login

Email ID*

Password*

Forgot Password?

LoRA Training Online