This course will teach you how to deploy and manage large language models (LLMs) in production using AWS services like Amazon Bedrock. By the end of the course, you will know how to:
GenAI and LLMs on AWS
This course is part of Large Language Model Operations (LLMOps) Specialization
Taught in English
Some content may not be translated
Instructors: Noah Gift
Sponsored by Duke University
Course
Recommended experience
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.
Details to know
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March 2024
2 quizzes, 10 assignments
Course
Recommended experience
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There are 4 modules in this course
This module, you will learn how to set up a Rust development environment, utilize the AWS SDK for Rust, and build AWS Lambda functions with Rust.
What's included
20 videos16 readings2 quizzes2 assignments1 discussion prompt2 ungraded labs
CodeWhisperer writes code. You learn to guide it. Large language models crunch data, spit out content. Chain-of-thought prompts make models explain themselves. Craft prompts, shape outputs. Build CLI tools, bash functions. Use CodeWhisperer CLI to automate tasks. Fast, efficient coding with AI.
What's included
7 videos10 readings4 assignments2 ungraded labs
This module, learn Amazon Bedrock capabilities. Apply through model evaluations and customizations.
What's included
6 videos14 readings3 assignments
In this module, you will challenge yourself to apply the concepts covered in the previous module and challenge yourself to apply what you learned in a new context.
What's included
2 videos5 readings1 assignment1 ungraded lab
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