Current
Intermediate
Evaluation and Customization of LLMs
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
3 hours self-paced
Classes
14
Learn to evaluate, fine-tune, and customize large language models for domain-specific applications using NVIDIA tools.
What you'll get
Evaluate LLM performance with benchmarks
Fine-tune LLMs for domain-specific tasks
Apply RLHF and alignment techniques
Customize model behavior with prompting strategies
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python and familiarity with LLMs
Pricing
$90
Certification
Certificate
Growth Leverage: Completing this course can propel career advancement into roles such as AI/ML Engineer, Data Scientist, or NLP Specialist, opening pathways to certifications in NVIDIA AI and deep learning, and enabling participation in specialized projects that leverage optimized LLMs across various industries.
Skills Value: The skills acquired allow practitioners to fine-tune LLMs for specific needs, addressing high-demand problems in sectors like healthcare and finance, justifying salary premiums of 10-20% for roles such as Machine Learning Engineer, where expertise in LLM customization is sought after.
LLM
Fine-tuning
RLHF
Model Evaluation
NVIDIA