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

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4.4

(134 reviews)

Beginner level

Recommended experience

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

(134 reviews)

Beginner level

Recommended experience

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

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Specialization - 6 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: Generative AI
Category: Prompt Engineering
Category: Large Language Modeling
Category: Application Deployment
Category: OpenAI
Category: Open Source Technology
Category: Machine Learning
Category: Natural Language Processing
Category: Data Ethics
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Artificial Intelligence
Category: Python Programming

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: Large Language Modeling
Category: Prompt Engineering
Category: Application Deployment
Category: OpenAI
Category: Risk Management Framework
Category: Python Programming
Category: Application Programming Interface (API)
Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: GitHub
Category: Semantic Web
Advanced Data Engineering

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: Database Management Systems
Category: Data Pipelines
Category: Flask (Web Framework)
Category: Scalability
Category: Data Import/Export
Category: Big Data
Category: Data Warehousing
Category: Databases
Category: Database Systems
Category: NoSQL
Category: Data Processing
GenAI and LLMs on AWS

GenAI and LLMs on AWS

Course 446 hours

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: Prompt Engineering
Category: Rust (Programming Language)
Category: Serverless Computing
Category: Cloud Computing
Category: Command-Line Interface
Category: Large Language Modeling
Category: Development Environment
Category: Integration Testing
Category: Debugging
Category: Generative AI
Category: Application Deployment
Category: Amazon Web Services
Databricks to Local LLMs

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: Generative AI
Category: Large Language Modeling
Category: Data Transformation
Category: Databricks
Category: Data Lakes
Category: Data Ethics
Category: Extract, Transform, Load
Category: Apache Spark
Category: MLOps (Machine Learning Operations)
Category: Jupyter
Category: Data Science
Category: Exploratory Data Analysis
Category: Machine Learning
Category: Prompt Engineering
Open Source LLMOps Solutions

Open Source LLMOps Solutions

Course 636 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: Cross Platform Development
Category: Natural Language Processing
Category: Large Language Modeling
Category: Machine Learning
Category: Artificial Neural Networks
Category: Generative AI
Category: PyTorch (Machine Learning Library)
Category: Application Deployment
Category: Rust (Programming Language)
Category: Application Programming Interface (API)
Category: Browser Compatibility
Category: Tensorflow

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Instructors

Derek Wales
Duke University
5 Courses26,703 learners
Noah Gift
Duke University
40 Courses185,291 learners
Alfredo Deza
Duke University
29 Courses142,576 learners

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Duke University

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