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Databricks to Local LLMs 

  • Offered byCoursera
  • Public/Government Institute

Databricks to Local LLMs
 at 
Coursera 
Overview

Duration

27 hours

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Databricks to Local LLMs
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Databricks to Local LLMs
 at 
Coursera 
Highlights

  • Earn a certificate after completion of the course
  • Assignment and projects for practice
  • Financial aid available
Details Icon

Databricks to Local LLMs
 at 
Coursera 
Course details

Skills you will learn
What are the course deliverables?
  • Artificial Intelligence (AI)
  • Data Science
  • Machine Learning
  • Large Language Models
  • Databricks
More about this course
  • 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
 at 
Coursera 
Curriculum

Databricks Lakehouse Platform Fundamentals

Meet your Course Instructor:Noah Gift

Introduction to the Databricks Lakehouse Platform

Overview of the Databricks Architecture

Creating and Managing Clusters

Configuring Cluster Runtimes

Terminating Clusters

Restarting Clusters

Filtering the Clusters List

All-Purpose vs Job Clusters

Setup IntelliJ for Databricks with Go

Installing and using Databricks CLI

Installing and using Databricks for RStudio

Introduction to Notebooks

Executing Notebooks

Sharing Notebooks

Multi-Language Support

Databricks Repos Overview

Efficient Data Transformation with Spark SQL

Using Catalog Explorer

Creating Tables from Files

Querying External Data Sources

Inspecting Tables

Reliable Data Pipelines with Delta Lake

ACID Transactions

Z-Ordering Optimization

Lesson Key Terms

What is a Lakehouse Platform?

Managing Clusters

External Lab: Databricks Lakehouse Platform

Reflection: Lesson 1: Databricks Lakehouse Platform

Key Terms

RStudio on Databricks

Setting Up IntelliJ for Databricks

Lesson Reflection

Lesson Key Terms

Data Skipping with Delta Lake

Tutorial: COPY INTO with Spark SQL

Lesson Reflection

Quiz: Databricks Lakehouse Platform

Quiz Data Transformation with Apache Spark

Quiz: Data Management with Delta Lake

Final Quiz-Databricks Lakehouse Platform Fundamentals

Course Structure and Discussion Etiquette

Hello Jupyter Julia

Getting Started with RStudio

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Databricks to Local LLMs
 at 
Coursera 

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