LoRA Training Online

SKU: 3046
12 Lesson
|
40 Hours
Learn how to fine-tune large language models efficiently with igmGuru’s online LoRA Training. This course introduces the core concepts of Low-Rank Adaptation and guides you through dataset preparation, training setup, model customization, and performance evaluation. With practical, easy-to-follow lessons, you’ll understand how to adapt AI models for specific needs while reducing computational costs and training time. Enroll today in our LoRA course to build useful skills and gain confidence in applying LoRA to real-world AI projects.

About LoRA Online Course

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

Course Curriculum

1. What PEFT means
2. Why PEFT is used for large models
3. Different PEFT methods (LoRA, Adapters, Prefix Tuning)
1. What LoRA is
2. Why LoRA is efficient
3. How LoRA is different from full fine-tuning
1. Low-rank matrices explained simply
2. How LoRA updates model weights
3. Why LoRA saves memory and compute
1. Setting up environment
2. Adding LoRA layers to a model
3. Running a simple LoRA training script
1. What the PEFT library is
2. Loading a model with LoRA
3. Fine-tuning a model using LoRA in a few steps
1. Cleaning and formatting text data
2. Loading datasets for training
3. Creating batches for LoRA training
1. Choosing hyperparameters
2. Running the training process
3. Avoiding common training issues
1. Checking model accuracy or quality
2. Comparing LoRA vs full fine-tuning
3. Fixing common evaluation problems
1. QLoRA: Using quantization to save even more memory
2. AdaLoRA: Adaptive LoRA that adjusts automatically
3. Combining LoRA with other PEFT methods
1. Exporting and saving LoRA models
2. Running them in real apps
3. Optimizing for speed and memory
1. Real examples of LoRA in NLP
2. Simple hands-on tasks
3. End-to-end project practice
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)
Drop Us a Query
Fields marked * are mandatory

Request For Live Demo Class

LoRA Online Training Fees and Batch Details

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 09 Oct 2026
  • Weekday Batch 12 Oct 2026
  • Weekend Batch 10 Oct 2026

Corporate Training

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

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
BECHTEL
Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

Want to know Today's Offer

X

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.

LoRA Certification

Reviews


Login
Don't have an account?
Sign Up

Our Alumni works at

HCL
FAI
YOKAGAWA
Tech Mahindra
SOCIETE GENERALE
SAMSUNG
EMIDS
DHL
FedEx
PayPal
BOSCH
asian paints
MICRO FOCUS
hgs
eClerx
Nasdaq
Persistent
CSS CORP
×

Your Shopping Cart


Your shopping cart is empty.