LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Created by Paul Iusztin and Maxime Labonne
VideoAssessment
Published: October 22nd, 2024
ISBN-13: 9781836200079
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About this Course
Explore the full process of building, training, and deploying large language models with a focus on practical, production-ready solutions. You'll gain hands-on experience in data engineering, fine-tuning, and deploying LLMs that are scalable and efficient.
Key Features
- Build and refine large language models using real-world data and fine-tuning methods
- Deploy and monitor LLMs for reliable, high-performance production use
- Apply preference alignment and inference optimization to improve model results
What You Will Learn
You will learn by working through a practical example that demonstrates each step, from preparing data to deploying a full LLM system. The approach combines clear explanations with hands-on guidance, helping you apply advanced techniques directly to your own projects.
Who This Course is For
Designed for AI engineers, NLP professionals, and those with a basic understanding of LLMs, Python, and AWS. If you want to deepen your knowledge and confidently build production-grade LLM applications, this course will help you achieve your goals.