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Databricks to Local LLMs
Noah Gift,
Alfredo Deza,
and
Derek Wales
Noah Gift,
Alfredo Deza,
and
Derek Wales
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/1tapvx/databricks
What's inside
Syllabus
Databricks Lakehouse Platform Fundamentals
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.
Read more
Syllabus
Databricks Lakehouse Platform Fundamentals
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.
Read more
Data Transformation and Pipelines
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.
Responsible Generative AI
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.
Local LLMOps
This week, you will learn mitigation strategies, evaluate task performance, and operationalize workflows by identifying risks in notebooks and deploying an LLM application.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers Responsible Generative AI, which is standard in industry
Taught by Noah Gift, Alfredo Deza, Derek Wales, who are recognized for their work in the topic that the course teaches
Explores Local LLMOps, which is highly relevant in an academic setting
Explores Data Transformation and Pipelines, which is highly relevant to industry
Examines Databricks Lakehouse Platform Fundamentals, which is standard in industry
Save this course
Save Databricks to Local LLMs to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
Databricks to Local LLMs.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Databricks to Local LLMs will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks for data science workflows. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Data Analyst
Data Analyst
Data Analysts use data to make informed decisions. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will learn how to describe the Databricks architecture, create clusters, use notebooks for analysis, and share notebooks. The course will also cover responsible generative AI, which is an important consideration for data analysts who are working with sensitive data.
Data Engineer
Data Engineer
Data Engineers maintain and transform large and complex sets of data. This course will help you to understand the fundamentals of the Databricks Lakehouse Platform, which is a popular platform for data engineering. You will learn how to read and transform data, create Delta Lake pipelines, and work with complex data types. The course will also cover responsible generative AI, which is an important consideration for data engineers who are working with sensitive data.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks for data science workflows. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and improve marketing campaigns. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Product Manager
Product Manager
Product Managers develop and manage products. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Sales Analyst
Sales Analyst
Sales Analysts use data to improve sales performance. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Data Management Analyst
Data Management Analyst
Data Management Analysts design and implement data management systems. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Business Analyst
Business Analyst
Business Analysts use data to improve business processes. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of organizations. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you to learn how to use Databricks to perform data engineering and data analytics tasks. You will also learn how to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
For more career information including salaries, visit:
OpenCourser.com/course/1tapvx/databricks
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Databricks to Local LLMs.
Explores the ethical challenges of AI, including the problem of AI alignment. It valuable resource for anyone who wants to learn more about the ethical implications of AI.
Save
Explores the potential risks and benefits of superintelligence. It valuable resource for anyone who wants to learn more about the future of AI.
Save
Explores the history and future of AI, including the potential of AI to solve some of the world's biggest problems. It valuable resource for anyone who wants to learn more about the potential of AI.
Save
Comprehensive textbook on deep learning. It covers everything from the basics of deep learning to the latest advances in the field. It valuable resource for anyone who wants to learn more about deep learning.
Comprehensive textbook on reinforcement learning. It covers everything from the basics of reinforcement learning to the latest advances in the field. It valuable resource for anyone who wants to learn more about reinforcement learning.
Save
Explores the potential future of humanity, including the role of AI in shaping our future. It valuable resource for anyone who wants to learn more about the future of humanity.
Save
Explores the potential impact of AI on society, including the challenges and opportunities that AI presents. It valuable resource for anyone who wants to learn more about the impact of AI on society.
Explores the ethical and social implications of AI, including the potential impact of AI on our jobs, our privacy, and our democracy. It valuable resource for anyone who wants to learn more about the ethical and social implications of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1tapvx/databricks
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Effort
5 hours a work a week of study for a total of 20 hours
Level
Introductory
Via
Coursera
Institution
Duke University
Instructors
Noah Gift
Alfredo Deza
Derek Wales
Language
English
Transcripts
Español
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Português
Deutsch
Italiano
中文
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This course belongs to a
collection
called
Large Language Model Operations (LLMOps). It's comprised of five courses:
- Databricks to Local LLMs (viewing)
- Open Source LLMOps Solutions
- Operationalizing LLMs on Azure
- GenAI and LLMs on AWS
- Advanced Data Engineering
Good to know
Covers Responsible Generative AI, which is standard in industry
Taught by Noah Gift, Alfredo Deza, Derek Wales, who are recognized for their work in the topic that the course teaches
Explores Local LLMOps, which is highly relevant in an academic setting
Explores Data Transformation and Pipelines, which is highly relevant to industry
Examines Databricks Lakehouse Platform Fundamentals, which is standard in industry
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