Coursera MOOC / Non-credit 0

LLM Optimization & Evaluation

Name: LLM Optimization & Evaluation
Price: 49 USD
Availability: InStock

About this course

Learn the complete lifecycle of LLM optimization and evaluation through hands-on experience with production-ready techniques. This comprehensive specialization equips you with essential skills to evaluate, optimize, and deploy large language models effectively. You'll learn to engineer features for ML models, implement rigorous statistical testing for LLM performance, diagnose and fix hallucinations through log analysis, optimize both computational costs and database performance, and build robust safety testing frameworks. The program progresses from foundational ML concepts through advanced MLOps practices, covering experiment tracking with tools like DVC and W&B, automated cloud workflows, data pipeline management with Apache Airflow, and product development workflows including requirements documentation and user acceptance testing. Through practical projects, you'll analyze LLM spend reports to reduce operational costs, implement value-stream mapping to streamline ML pipelines, create comprehensive testing suites with mutation testing, and develop operational runbooks for production systems. Whether you're optimizing SQL queries for vector search, conducting A/B tests for model improvements, or building automated monitoring systems, this specialization provides the technical depth and practical experience needed to excel in LLM engineering roles.

63/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

evaluate the performance of LLMs
optimize computational costs in ML models
conduct rigorous statistical testing
implement automated monitoring systems
develop safety testing frameworks
manage data pipelines with Apache Airflow
engineer features for machine learning models

Course objectives

equip learners with practical skills in LLM optimization
provide hands-on experience with real-world techniques
streamline the process of deploying LLMs in production

Machine Learning Artificial Intelligence Deep Learning #machine learning #mlops #model evaluation #llm #cost optimization #feature engineering #apache airflow #experiment tracking #statistical testing #cloud workflows #data pipeline management #automated monitoring #safety testing #database performance

$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.