intermediateFree
LLMOps
by Erwin Huizenga · DeepLearning.AI
4.4(2,500 reviews)
40K+ enrolled1 hourUpdated 2024-06
What You'll Learn
Understand the fundamentals and key concepts of MLOps
Apply MLOps techniques to solve real-world problems
Understand the fundamentals and key concepts of LLMs
Apply LLMs techniques to solve real-world problems
Understand the fundamentals and key concepts of fine-tuning
Apply fine-tuning techniques to solve real-world problems
About This Course
Build LLM pipelines covering data preparation, fine-tuning, evaluation, and deployment using Google Cloud infrastructure.
Curriculum
Module 1: MLOps & LLMs6 lessons
- Introduction to MLOps
- MLOps in Practice
- Hands-on Exercise: MLOps
- Introduction to LLMs
- LLMs in Practice
- Hands-on Exercise: LLMs
Module 2: Fine-tuning & Model deployment6 lessons
- Introduction to fine-tuning
- Fine-tuning in Practice
- Hands-on Exercise: Fine-tuning
- Introduction to model deployment
- Model deployment in Practice
- Hands-on Exercise: Model deployment
Module 3: Google Cloud3 lessons
- Introduction to Google Cloud
- Google Cloud in Practice
- Hands-on Exercise: Google Cloud
Instructor
Erwin Huizenga
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Erwin Huizenga
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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