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.

Derek Wales
Noah Gift
Alfredo Deza

Instructors: Derek Wales

Sponsored by Coursera Learning Team

9,133 already enrolled

Get in-depth knowledge of a subject
4.4

(100 reviews)

Beginner level

Recommended experience

5 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(100 reviews)

Beginner level

Recommended experience

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

Details to know

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Taught in English

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Specialization - 6 course series

Introduction to Generative AI

Course 137 hours4.4 (92 ratings)

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: Generative AI
Category: Application Programming Interface (API)
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: OpenAI
Category: Artificial Intelligence
Category: Data Ethics
Category: GitHub
Category: Natural Language Processing

Operationalizing LLMs on Azure

Course 210 hours4.3 (29 ratings)

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: Microsoft Azure
Category: Cloud Services
Category: Containerization
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Natural Language Processing
Category: OpenAI
Category: Cloud Computing
Category: Risk Management Framework
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Information Architecture
Category: Platform As A Service (PaaS)
Category: Software Architecture
Category: Generative AI
Category: Systems Architecture
Category: Semantic Web
Category: Query Languages
Category: Application Programming Interface (API)
Category: Python Programming

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: Apache Airflow
Category: MySQL
Category: Workflow Management
Category: Scalability
Category: Data Pipelines
Category: Complex Problem Solving
Category: Data Architecture
Category: Database Management
Category: Data Infrastructure
Category: Performance Analysis
Category: Real Time Data
Category: Database Systems

GenAI and LLMs on AWS

Course 445 hours4.8 (19 ratings)

What you'll learn

  • Learn to use AWS to build solutions with Generative AI.

  • Learn the basics of AWS cloud computing to enable you to be proficient with machine learning on AWS.

  • Develop machine learning solutions using AWS services like Amazon Bedrock.

Skills you'll gain

Category: Cloud Services
Category: Serverless Computing
Category: Cloud Computing
Category: Rust (Programming Language)
Category: Generative AI
Category: AWS SageMaker
Category: Applied Machine Learning
Category: OpenAI
Category: Amazon Web Services
Category: Development Environment
Category: Cloud Development
Category: ChatGPT
Category: Application Programming Interface (API)
Category: Data Ethics
Category: MLOps (Machine Learning Operations)
Category: Secure Coding
Category: Amazon S3
Category: Amazon Elastic Compute Cloud
Category: Amazon CloudWatch
Category: Continuous Monitoring

Databricks to Local LLMs

Course 527 hours

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

Category: Data Pipelines
Category: Data Processing
Category: Databricks
Category: Artificial Intelligence
Category: Generative AI
Category: CI/CD
Category: MLOps (Machine Learning Operations)
Category: Risk Modeling
Category: Data Ethics
Category: Extract, Transform, Load
Category: Data Lakes
Category: Data Transformation
Category: Data Analysis
Category: Data Science
Category: Apache Spark
Category: Data Governance

Open Source LLMOps Solutions

Course 635 hours

What you'll learn

  • Run local large language models

  • Fine-tune LLMs

  • Use open-source generative AI

Skills you'll gain

Category: Open Source Technology
Category: Natural Language Processing
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Containerization
Category: PyTorch (Machine Learning Library)
Category: Performance Tuning
Category: Cloud Development
Category: MLOps (Machine Learning Operations)
Category: Tensorflow
Category: Application Deployment
Category: Generative AI
Category: Applied Machine Learning

Instructors

Derek Wales
Duke University
5 Courses18,820 learners
Noah Gift
Duke University
40 Courses157,168 learners
Alfredo Deza
Duke University
29 Courses116,578 learners

Offered by

Duke University

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