Duke University
Large Language Model Operations (LLMOps) Specialization

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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

12,088 already enrolled

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Get in-depth knowledge of a subject
4.4

(123 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

(123 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

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: Large Language Modeling
Category: Prompt Engineering
Category: Application Programming Interface (API)
Category: OpenAI
Category: Data Ethics
Category: ChatGPT
Category: Natural Language Processing
Category: GitHub
Category: Artificial Intelligence

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: Application Deployment
Category: OpenAI
Category: Prompt Engineering
Category: Scalability
Category: Software Architecture
Category: GitHub
Category: Artificial Intelligence
Category: Application Programming Interface (API)
Category: MLOps (Machine Learning Operations)
Category: Risk Management Framework
Category: Generative AI
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: MySQL
Category: Data Pipelines
Category: Apache Airflow
Category: Workflow Management
Category: Scalability
Category: Performance Analysis
Category: Dataflow
Category: Operational Databases
Category: Data Infrastructure
Category: Data Transformation
Category: Data Architecture
Category: Performance Tuning
Category: Database Management
Category: Middleware
Category: Database Systems
Category: Data Warehousing
Category: Real Time Data
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: Serverless Computing
Category: AWS SageMaker
Category: Large Language Modeling
Category: Rust (Programming Language)
Category: Cloud Computing
Category: Software Development Tools
Category: Amazon CloudWatch
Category: Amazon Elastic Compute Cloud
Category: Development Environment
Category: Secure Coding
Category: General Data Protection Regulation (GDPR)
Category: Generative AI
Category: Personally Identifiable Information
Category: Amazon Web Services
Category: MLOps (Machine Learning Operations)
Category: Data Ethics
Category: Continuous Monitoring
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: Data Lakes
Category: Large Language Modeling
Category: Databricks
Category: Generative AI
Category: Data Transformation
Category: Analytics
Category: Data Science
Category: Data Ethics
Category: Data Governance
Category: Extract, Transform, Load
Category: Data Analysis
Category: MLOps (Machine Learning Operations)
Category: CI/CD
Category: Apache Spark
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: Natural Language Processing
Category: Large Language Modeling
Category: PyTorch (Machine Learning Library)
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Generative AI
Category: Application Programming Interface (API)
Category: Containerization
Category: Command-Line Interface
Category: Application Deployment
Category: Tensorflow

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Instructors

Derek Wales
Duke University
5 Courses25,036 learners
Noah Gift
Duke University
40 Courses179,970 learners
Alfredo Deza
Duke University
29 Courses137,350 learners

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Duke University

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