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

(106 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

(106 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 (99 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: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: OpenAI
Category: Natural Language Processing
Category: Data Ethics
Category: GitHub

Operationalizing LLMs on Azure

Course 210 hours4.3 (33 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: Platform As A Service (PaaS)
Category: Generative AI
Category: Query Languages
Category: Python Programming
Category: Systems Architecture
Category: Risk Management Framework
Category: Application Deployment
Category: Application Programming Interface (API)
Category: OpenAI
Category: Semantic Web
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cloud Computing
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Software Architecture
Category: Information Architecture

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: Workflow Management
Category: Scalability
Category: Data Pipelines
Category: Data Infrastructure
Category: Performance Analysis
Category: Database Systems
Category: Complex Problem Solving
Category: Database Management
Category: Performance Tuning
Category: Data Architecture
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: Cloud Services
Category: Serverless Computing
Category: AWS SageMaker
Category: Rust (Programming Language)
Category: Generative AI
Category: Secure Coding
Category: Application Programming Interface (API)
Category: Applied Machine Learning
Category: Development Environment
Category: Amazon Web Services
Category: Continuous Monitoring
Category: Amazon S3
Category: Amazon Elastic Compute Cloud
Category: Cloud Development
Category: ChatGPT
Category: Amazon CloudWatch
Category: OpenAI
Category: Data Ethics
Category: MLOps (Machine Learning Operations)

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

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

Instructors

Derek Wales
Duke University
5 Courses19,305 learners
Noah Gift
Duke University
40 Courses159,016 learners
Alfredo Deza
Duke University
29 Courses118,035 learners

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Duke University

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