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Noah Gift, Alfredo Deza, and Derek Wales

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.

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What's inside

Five courses

Operationalizing LLMs on Azure

(0 hours)
This course is designed for individuals at both an intermediate and beginner level, including data scientists, AI enthusiasts, and professionals seeking to harness the power of Azure for Large Language Models (LLMs). Tailored for those with foundational programming experience and familiarity with Azure basics, this comprehensive program takes you through a four-week journey.

Advanced Data Engineering

(0 hours)
In this advanced course, you will gain practical expertise in scaling data engineering systems using cutting-edge tools and techniques. This course will equip you to handle larger, more complex datasets efficiently.

GenAI and LLMs on AWS

(0 hours)
This course teaches how to deploy and manage large language models (LLMs) in production using AWS services. By the end, you will know how to:

Databricks to Local LLMs

(1 hours)
By the end of this course, a learner will master Databricks for data engineering and analytics for data science workflows. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.

Open Source LLMOps Solutions

(0 hours)
Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applications using a code-first approach.

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