Duke University
Large Language Model Operations (LLMOps) Specialization
Duke University

Large Language Model Operations (LLMOps) Specialization

Master Large Language Model Operations. Develop expertise in deploying, managing, and optimizing large language models across various platforms including Azure, AWS, Databricks, local infrastructure, and open source solutions through hands-on projects.

Taught in English

Some content may not be translated

Derek Wales
Noah Gift
Alfredo Deza

Instructors: Derek Wales

Included with Coursera Plus

Specialization - 4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

5 months at 10 hours a week
Flexible schedule
Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

February 2024

Specialization - 4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

5 months at 10 hours a week
Flexible schedule
Learn at your own pace

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University
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Specialization - 4 course series

What you'll learn

  • Learn to utilize Generative AI for automation.

  • Develop Generative AI software solutions.

  • Build solutions with Prompt Engineering to enhance Generative AI output.

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Python Programming
Category: Machine Learning
Category: GenAI
Category: LLMs

What you'll learn

  • Gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs).

  • Develop advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment.

  • Acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG)

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Python Programming
Category: AI/ML Inference
Category: Azure Cloud Services

Advanced Data Engineering

Course 323 hours

What you'll learn

  • Create and manage data pipelines and their lifecycle

  • Connect and work with message queues to manage data processing

  • Use vector, graph, and key/value databases for data storage at scale

Skills you'll gain

Category: Online Databases
Category: Queue Management
Category: Data Import/Export
Category: Database Management Systems

Databricks to Local LLMs

Course 427 hours

What you'll learn

  • Databricks

    ML pipelines

    llamafile and other local LLMs like Mixtral

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Data Science
Category: Machine Learning
Category: Large Language Models
Category: Databricks

Instructors

Derek Wales
Duke University
3 Courses772 learners

Offered by

Duke University

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