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Large Language Model Operations (LLMOps) Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
5 months
Duration
5 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Through this Large Language Model Operations (LLMOps) Specialization is offered by Coursera - Duke University you'll 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.

Overview

This Large Language Model Operations (LLMOps) Specialization is offered by Coursera in partnership with Duke University. Master the world of Large Language Models through this comprehensive specialization from Coursera and Duke University, a top Data Science and AI program. Dive into topics ranging from generative AI techniques to open source LLM management across various platforms such as Azure, AWS, Databricks, local infrastructure, and beyond. 

Through immersive projects and best practices, gain hands-on experience in designing, deploying, and scaling powerful language models tailored for diverse applications. 

Showcase your newly acquired LLM management skills by tackling real-world challenges and building your own portfolio as a proficient LLMOps professional preparing you for roles such as Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist, or LLMOps Consultant.

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University

Skills you'll gain

  • Azure Databricks
  • Artificial Intelligence (AI)
  • Python Programming
  • AI/ML Inference
  • Azure Cloud Services
  • Machine Learning
  • GenAI
  • llamafile
  • open source
  • LLMs
  • Online Databases
  • Queue Management
  • Data Import/Export
  • Database Management Systems
  • aws
  • Cloud Computing
  • Large Language Models

Programme Structure

Courses included:

  • Operationalizing LLMs on Azure
  • Advanced Data Engineering
  • GenAl and LLMs on AWS
  • Datablicks to local LLMs
  • Open Source LLMOps Solutions

Key information

Duration

  • Part-time
    • 5 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • Beginner programming experience in any language.  Familiarity with Linux, command line interfaces, or cloud services helpful but not required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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