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Mastering Generative AI: Fine-Tuning Transformers
This course is part of Generative AI Engineering.
Course Cost
₹ 4,168
Intermediate
Skill Level
2 Weeks
Self-paced lessons
This intermediate-level course addresses the exploding demand for technical generative AI skills, specifically focusing on the highly sought-after ability to fine-tune transformer models. Designed for AI engineers and specialists looking to enhance their career prospects, the course provides comprehensive training in adapting pre-trained language models for specific applications. Students will explore the differences between PyTorch and Hugging Face frameworks while gaining practical experience using pre-trained transformers for various language tasks. The curriculum covers advanced techniques including parameter-efficient fine-tuning (PEFT), low-rank adaptation (LoRA), quantized low-rank adaptation (QLoRA), and model quantization with natural language processing. Through extensive hands-on labs, participants will develop practical skills in loading models, running inference, training with Hugging Face, pre-training large language models, and implementing fine-tuning techniques with PyTorch adapters. The course emphasizes job-ready skills that employers actively seek, enabling graduates to effectively customize transformer models for diverse generative AI applications and significantly enhance their value in the rapidly growing AI job market.
English
What you'll learn
Understand the differences between PyTorch and Hugging Face frameworks for transformer model development
Load pre-trained transformer models and run inference using Hugging Face
Implement fine-tuning techniques for transformer models using PyTorch
Apply parameter-efficient fine-tuning (PEFT) methods to customize large language models
Master low-rank adaptation (LoRA) implementation with both Hugging Face and PyTorch
Utilize quantized low-rank adaptation (QLoRA) for resource-efficient model customization
Apply model quantization techniques for optimizing transformer model deployment
Create adapters in PyTorch for efficient model fine-tuning
Skills you'll gain
This course includes:
PreRecorded video
Graded quizzes,6 labs,Practice quizzes
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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PROVIDED BY
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Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Engineering
Payment options
Financial Aid
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Faculties
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Frequently asked Questions
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