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.
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.
Instructors: Derek Wales
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What you'll learn
Skills you'll gain
What’s included
Add to your LinkedIn profile
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
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
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
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
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
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
What you'll learn
Run local large language models
Fine-tune LLMs
Use open-source generative AI
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,