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 FutureX

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

Details to know

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Taught in English

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Specialization - 6 course series

Introduction to Generative AI

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

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

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

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

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: Apache Spark
Category: Data Engineering
Category: Data Management
Category: Databricks
Category: Artificial Intelligence
Category: Generative AI
Category: Data Integration
Category: Big Data
Category: Data Pipelines
Category: Data Architecture
Category: Data Infrastructure
Category: Data Strategy
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Governance
Category: Data Lakes
Category: MLOps (Machine Learning Operations)
Category: Extract, Transform, Load
Category: DevOps
Category: Databases
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: Computer Programming
Category: Cross Platform Development
Category: Application Lifecycle Management
Category: Software Development
Category: C and C++
Category: DevOps
Category: C (Programming Language)
Category: Operating Systems
Category: System Software
Category: Application Deployment
Category: System Programming
Category: Applied Machine Learning
Category: Rust (Programming Language)
Category: Continuous Deployment
Category: Natural Language Processing
Category: Open Source Technology
Category: Python Programming
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: MLOps (Machine Learning Operations)

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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