Fine-Tuning Techniques for AI Models
Fine-Tuning Techniques for AI Models
This course is part of Transfer Learning and Fine-Tuning for AI Models Specialization
Instructor: Edureka
Access provided by IE University
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Prepare high-quality datasets for fine-tuning using data cleaning, tokenization, label engineering, and task formulation.
Apply supervised fine-tuning techniques to optimize pretrained AI models for domain-specific tasks and applications.
Analyze model performance using evaluation metrics, error analysis, and validation techniques to improve model quality.
Evaluate fine-tuning strategies, including LoRA and PEFT, to select efficient approaches for different AI use cases.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
July 2026
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This course is part of the Transfer Learning and Fine-Tuning for AI Models Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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