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 PKO BP

8,577 already enrolled

Get in-depth knowledge of a subject
4.4

(99 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

(99 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 (91 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: OpenAI
Category: Generative AI
Category: Artificial Intelligence
Category: ChatGPT
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Ethics
Category: Application Deployment
Category: Cloud Development
Category: Application Lifecycle Management
Category: Cloud Solutions
Category: DevOps
Category: Cloud Computing
Category: Software Development
Category: Cloud Applications
Category: Natural Language Processing
Category: Continuous Deployment
Category: GitHub
Category: Application Programming Interface (API)
Category: Application Development
Category: Data Governance

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

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

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

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

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

Instructors

Derek Wales
Duke University
5 Courses18,042 learners
Noah Gift
Duke University
40 Courses154,308 learners
Alfredo Deza
Duke University
29 Courses113,874 learners

Offered by

Duke University

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