Large Language Model Operations (LLMOps) Specialization
Master deployment and management of large language models across cloud platforms. Learn hands-on LLM implementation.
Master deployment and management of large language models across cloud platforms. Learn hands-on LLM implementation.
This comprehensive specialization teaches professionals how to effectively deploy, manage, and optimize large language models across various platforms including Azure, AWS, and Databricks. The program covers essential topics from generative AI fundamentals to advanced LLM operations, with a focus on practical implementation. Through over 20 hands-on projects, students learn to build real-world applications, create effective prompts, and develop chatbots using vector databases. The curriculum prepares learners for roles such as Machine Learning Engineer, DevOps Engineer, or LLMOps Consultant.
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What you'll learn
Deploy and manage LLMs across major cloud platforms
Build applications using Azure AI Service and AWS Bedrock
Develop effective prompt engineering strategies
Implement local LLM solutions and open-source tools
Create data pipelines for LLM applications
Design and deploy AI-powered chatbots
Skills you'll gain
This course includes:
179 Hours PreRecorded video
Projects, Coding Assignments
Access on Mobile, Desktop
FullTime access
Shareable certificate
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There are 6 courses in this program
Introduction to Generative AI
Course 1 · 37 Hours to complete · 4 modules
Operationalizing LLMs on Azure
Course 2 · 10 Hours to complete · 4 modules
Advanced Data Engineering
Course 3 · 23 Hours to complete · 4 modules
GenAI and LLMs on AWS
Course 4 · 45 Hours to complete · 4 modules
Databricks to Local LLMs
Course 5 · 27 Hours to complete · 4 modules
Open Source LLMOps Solutions
Course 6 · 35 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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