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

(111 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

(111 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 (106 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: Application Programming Interface (API)
Category: GitHub
Category: ChatGPT
Category: Natural Language Processing
Category: Data Ethics

Operationalizing LLMs on Azure

Course 210 hours4.3 (34 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: Containerization
Category: Artificial Intelligence
Category: Query Languages
Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: Natural Language Processing
Category: OpenAI
Category: Semantic Web
Category: Systems Architecture
Category: Software Architecture
Category: Information Architecture
Category: Application Programming Interface (API)
Category: Application Deployment
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cloud Computing
Category: Python Programming
Category: Platform As A Service (PaaS)
Category: Risk Management Framework

Advanced Data Engineering

Course 323 hours4.3 (10 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: Apache Airflow
Category: MySQL
Category: Workflow Management
Category: Data Pipelines
Category: Scalability
Category: Performance Tuning
Category: Operational Databases
Category: Complex Problem Solving
Category: Database Systems
Category: Data Architecture
Category: Performance Analysis
Category: Data Infrastructure
Category: Database 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: Generative AI
Category: AWS SageMaker
Category: Serverless Computing
Category: Cloud Services
Category: Rust (Programming Language)
Category: Cloud Computing
Category: Amazon Elastic Compute Cloud
Category: Data Ethics
Category: MLOps (Machine Learning Operations)
Category: Amazon CloudWatch
Category: Amazon Web Services
Category: Cloud Development
Category: Applied Machine Learning
Category: OpenAI
Category: ChatGPT
Category: Application Programming Interface (API)
Category: Development Environment
Category: Amazon S3
Category: Secure Coding
Category: Continuous Monitoring

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

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

Instructors

Derek Wales
Duke University
5 Courses20,451 learners
Noah Gift
Duke University
40 Courses163,472 learners
Alfredo Deza
Duke University
29 Courses121,713 learners

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Duke University

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