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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Get in-depth knowledge of a subject
4.4

(116 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

(116 reviews)

Beginner level

Recommended experience

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

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Taught in English

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Specialization - 6 course series

Introduction to Generative AI

Course 137 hours4.5 (111 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: OpenAI
Category: Artificial Intelligence
Category: ChatGPT
Category: GitHub
Category: Data Ethics
Category: Natural Language Processing

Operationalizing LLMs on Azure

Course 210 hours4.3 (35 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: Artificial Intelligence
Category: Containerization
Category: Application Deployment
Category: Risk Management Framework
Category: Natural Language Processing
Category: Cloud Computing
Category: Python Programming
Category: Information Architecture
Category: Application Programming Interface (API)
Category: Generative AI
Category: Query Languages
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: MLOps (Machine Learning Operations)
Category: Software Architecture
Category: Platform As A Service (PaaS)
Category: Systems Architecture
Category: Semantic Web
Category: OpenAI

Advanced Data Engineering

Course 323 hours4.3 (11 ratings)

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: MySQL
Category: Apache Airflow
Category: Workflow Management
Category: Data Pipelines
Category: Scalability
Category: Data Architecture
Category: Performance Analysis
Category: Data Infrastructure
Category: Database Systems
Category: Database Management
Category: Complex Problem Solving
Category: Performance Tuning
Category: Operational Databases

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

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

Open Source LLMOps Solutions

Course 635 hours4.7 (10 ratings)

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: Application Deployment
Category: PyTorch (Machine Learning Library)
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Web Development Tools
Category: Applied Machine Learning
Category: Cloud Development
Category: MLOps (Machine Learning Operations)
Category: Tensorflow
Category: Generative AI
Category: Containerization

Instructors

Derek Wales
Duke University
5 Courses21,979 learners
Noah Gift
Duke University
40 Courses169,121 learners
Alfredo Deza
Duke University
29 Courses126,842 learners

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Duke University

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