Duke University

Databricks to Local LLMs

This course is part of Large Language Model Operations (LLMOps) Specialization

Taught in English

Some content may not be translated

Noah Gift
Alfredo Deza
Derek Wales

Instructors: Noah Gift

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

27 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Use Databricks for data engineering and ML workloads

  • Create and design ML pipelines

  • Use Llamafile and other local LLMs like Mixtral

Details to know

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Recently updated!

February 2024

Assessments

15 quizzes

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

27 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Large Language Model Operations (LLMOps) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

This week, you will learn how to describe the Databricks architecture, create clusters, use notebooks for analysis, and share notebooks by completing hands-on labs and knowledge checks on these topics.

What's included

25 videos13 readings4 quizzes1 discussion prompt2 ungraded labs

This week, you will learn how to read and transform data, create Delta Lake pipelines, and work with complex data types by implementing ETL solutions and passing code samples reviews.

What's included

23 videos9 readings4 quizzes3 ungraded labs

This week you will learn foundations of generative AI and responsible deployment strategies to benefit from the latest advancements while maintaining safety, accuracy, and oversight. By directly applying concepts through hands-on labs and peer discussions, you will gain practical experience putting AI into production.

What's included

13 videos14 readings4 quizzes3 ungraded labs

This week, you will learn mitigation strategies, evaluate task performance, and operationalize workflows by identifying risks in notebooks and deploying an LLM application.

What's included

13 videos10 readings3 quizzes

Instructors

Noah Gift
Duke University
40 Courses91,977 learners

Offered by

Duke University

Recommended if you're interested in Machine Learning

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