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Kodestree

LoRA Training Online

36 Lessons
|
40 hours

kodestree 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.

LoRA Training Online
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About 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

Course Curriculum

Course Content

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

  • What PEFT means
  • Why PEFT is used for large models
  • Different PEFT methods (LoRA, Adapters, Prefix Tuning)

Lesson 2 – LoRA Basics

Lesson 3 – Transformer Basics

Lesson 4 – Using LoRA in PyTorch

Lesson 5 – Using LoRA with Hugging Face

Lesson 6 – Preparing Data for LoRA

Lesson 7 – Training LoRA Models

Lesson 8 – Evaluating Your LoRA Model

Lesson 9 – Advanced LoRA Versions

Lesson 10 – Deploying LoRA Models

Lesson 11 – Projects & Case Studies

Lesson 12 – Latest Updates & Trends

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Self Paced Learning
47,940.00
✓ Refund Policy
  • Duration: 40 hrs
  • 36 Lessons & Practical Labs
  • Lifetime Full Access & Free Upgrades
  • Downloadable Study Materials & Code Labs
  • Recognized Certification of Completion
  • 24x7 Online Support & Learner Forum
One to One Training
Contact Us
  • 100% Customized Delivery & Curriculum
  • Flexible Schedule as per Learner Convenience
  • Top Tier Industry-Experienced Instructors
  • Tailored Hands-On Project Mentoring
  • Dedicated Interview & Career Guidance
  • 24x7 Dedicated Priority Support

Placement Partners

Hettich
Bechtel
Emirates
Mitsubishi
Indian Navy
Tech Mahindra
AU Small Finance Bank
Capgemini
United Nations
Yash Technologies

Want to know Today's Offer

LoRA Training Online Certification Exam

Upon completing the LoRA Training Online, you will receive a globally recognized certification that validates your expertise in professional skills and industry best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The Technology certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

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LoRA Training Online

Frequently Asked Questions

The LoRA Training Online is designed to provide comprehensive, in-depth training in LoRA Training. 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 The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in LoRA Training and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using LoRA Training tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into relevant industry roles.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

LEARNER SUCCESS

What Learners Say

Real feedback from professionals who transformed their careers with our training

4.8/5
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1,200+ Learner Reviews
Learner Reviews
Ankit Sharma Priya Menon Rahul Verma Sneha Kapoor +
10,000+
Learners Trained
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95% Satisfaction
Satisfaction Rate

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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