Current

Intermediate

Fine-Tuning and Optimizing Large Language Models

Coursera · DeepLearning.AI · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

3 weeks, 5 hours/week

Classes

28

Master advanced techniques for fine-tuning and optimizing large language models for specific domains and tasks. Learn efficiency techniques, parameter reduction, and performance optimization.

What you'll get

Implement supervised fine-tuning on custom datasets

Apply LoRA and parameter-efficient fine-tuning methods

Optimize model inference speed and memory usage

Use reinforcement learning from human feedback (RLHF)

Evaluate and benchmark fine-tuned models

Fit

Best for

Leaders

Analysts

Researchers

Decision-makers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Understanding of LLM fundamentals, Python proficiency

Pricing

Free to audit, $49 for certificate

Certification

Certificate

fine-tuning

llm

optimization

parameter-efficiency

rlhf

deep-learning

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