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
GenAI and LLMs on AWS
This course is part of Large Language Model Operations (LLMOps) Specialization
Instructors: Noah Gift
2,702 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.8
(18 reviews)
Beginner level
Recommended experience
45 hours to complete
3 weeks at 15 hours a week
Flexible schedule
Learn at your own pace
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
Details to know
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Assessments
12 assignments
Taught in English
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This course is part of the Large Language Model Operations (LLMOps) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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 readings4 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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4.8
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5
Reviewed on Aug 21, 2024
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
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