By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Databricks to Local LLMs
Databricks to Local LLMs
This course is part of Large Language Model Operations (LLMOps) Specialization
Instructors: Noah Gift
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Gain insight into a topic and learn the fundamentals.
12 reviews
Beginner level
Recommended experience
3 weeks to complete
at 10 hours a week
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
Skills you'll gain
Details to know
Shareable certificate
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Assessments
15 assignments
Taught in English
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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.
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There are 4 modules in this course
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Reviewed on Aug 21, 2024
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
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