Short CourseBeginner1 Hour 21 Minutes

LLMOps

Instructors: Erwin Huizenga

Google Cloud
  • Beginner
  • 1 Hour 21 Minutes
  • 6 Video Lessons
  • 4 Code Examples

What you'll learn

  • Adapt an open source pipeline that applies supervised fine-tuning on an LLM to better answer user questions.

  • Learn best practices, including versioning your data and your models, and pre-process large datasets inside a data warehouse.

  • Learn responsible AI by outputting safety scores on sub-categories of harmful content.

About this course

In this course, you’ll go through the LLMOps pipeline of pre-processing training data for supervised instruction tuning, and adapt a supervised tuning pipeline to train and deploy a custom LLM. This is useful in creating an LLM workflow for your specific application. For example, creating a question-answer chatbot tailored to answer Python coding questions, which you’ll do in this course.

Through the course, you’ll go through key steps of creating the LLMOps pipeline:

  • Retrieve and transform training data for supervised fine-tuning of an LLM.
  • Version your data and tuned models to track your tuning experiments. 
  • Configure an open-source supervised tuning pipeline and then execute that pipeline to train and then deploy a tuned LLM.
  • Output and study safety scores to responsibly monitor and filter your LLM application’s behavior.
  • Try out the tuned and deployed LLM yourself in the classroom!
  • Tools you’ll practice with include BigQuery data warehouse, the open-source Kubeflow Pipelines, and Google Cloud. 

Who should join?

Anyone who wants to learn to tune an LLM, and learn to work with and build an LLMOps pipeline.

Course Outline

6 Lessons・4 Code Examples
  • Introduction

    Video4 mins

  • The Fundamentals

    Video11 mins

  • Data Preparation

    Video with code examples21 mins

  • Automation and Orchestration with Pipelines

    Video with code examples21 mins

  • Prediction, Prompts, Safety

    Video with code examples21 mins

  • Conclusion

    Video1 min

  • Next Step

    Code examples1 min

Instructor

Erwin Huizenga

Erwin Huizenga

Developer Advocate for Generative AI on Google Cloud

Course access is free for a limited time during the DeepLearning.AI learning platform beta!

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