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 Pontificia Universidad Católica del Perú

8,353 already enrolled

Get in-depth knowledge of a subject
4.5

(97 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
4.5

(97 reviews)

Beginner level

Recommended experience

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

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Specialization - 6 course series

Introduction to Generative AI

Course 137 hours4.5 (88 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: Artificial Intelligence
Category: Generative AI
Category: OpenAI
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: ChatGPT
Category: Software Development
Category: Cloud Solutions
Category: Application Programming Interface (API)
Category: Application Lifecycle Management
Category: Natural Language Processing
Category: Cloud Development
Category: Data Governance
Category: Application Development
Category: Application Deployment
Category: Cloud Applications
Category: GitHub
Category: Continuous Deployment
Category: DevOps
Category: Data Ethics
Category: Cloud Computing

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: OpenAI
Category: Generative AI
Category: Artificial Intelligence
Category: Application Lifecycle Management
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Continuous Deployment
Category: Cloud Infrastructure
Category: Public Cloud
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cloud Platforms
Category: Cloud Applications
Category: Cloud Services
Category: Microsoft Azure
Category: DevOps
Category: Cloud Development
Category: Cloud Management
Category: Cloud API
Category: Semantic Web
Category: Cloud Computing

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: Data Pipelines
Category: Database Management Systems
Category: Data Engineering
Category: Apache Airflow
Category: Data Management
Category: Database Systems
Category: Big Data
Category: Query Languages
Category: MySQL
Category: Database Development
Category: Data Processing
Category: Data Architecture
Category: SQL
Category: Relational Databases
Category: Data Integration
Category: Database Architecture and Administration
Category: Database Management
Category: Information Management
Category: Databases
Category: Scalability

GenAI and LLMs on AWS

Course 445 hours4.8 (18 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 Infrastructure
Category: Amazon Web Services
Category: MLOps (Machine Learning Operations)
Category: Cloud Services
Category: Cloud Computing
Category: Generative AI
Category: Cloud Platforms
Category: AWS SageMaker
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Rust (Programming Language)
Category: Cloud Management
Category: Scripting
Category: Cloud Solutions
Category: Cloud Applications
Category: Natural Language Processing
Category: Serverless Computing
Category: Multi-Cloud
Category: Public Cloud
Category: Cloud Development

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 Management
Category: Data Engineering
Category: Apache Spark
Category: Databricks
Category: Generative AI
Category: Artificial Intelligence
Category: Data Pipelines
Category: Big Data
Category: Data Integration
Category: Data Architecture
Category: Databases
Category: Data Infrastructure
Category: Data Strategy
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: DevOps
Category: Data Ethics
Category: MLOps (Machine Learning Operations)
Category: Data Governance
Category: Extract, Transform, Load
Category: Data Lakes

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: Artificial Intelligence
Category: C and C++
Category: Cross Platform Development
Category: Computer Programming
Category: Application Lifecycle Management
Category: Software Development
Category: Python Programming
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: System Programming
Category: Operating Systems
Category: Rust (Programming Language)
Category: DevOps
Category: Applied Machine Learning
Category: C (Programming Language)
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Continuous Deployment
Category: Natural Language Processing
Category: System Software
Category: Open Source Technology

Instructors

Derek Wales
Duke University
5 Courses17,480 learners
Noah Gift
Duke University
40 Courses152,016 learners
Alfredo Deza
Duke University
29 Courses111,803 learners

Offered by

Duke University

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