What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Large Language Model Operations (LLMOps) Specialization
Instructors: Noah Gift
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Basic programming experience.
(19 reviews)
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Beginner level
Basic programming experience.
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.
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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:
Choose the right LLM architecture and model for your application using services. Optimize cost, performance and scalability of LLMs on AWS using auto-scaling groups, spot instances and container orchestration Monitor and log metrics from your LLM to detect issues and continuously improve quality Build reliable and secure pipelines to train, deploy and update models using AWS services Comply with regulations when deploying LLMs in production through techniques like differential privacy and controlled rollouts This course is unique in its focus on real-world operationalization of large language models using AWS. You will work through hands-on labs to put concepts into practice as you learn. Whether you are a machine learning engineer, data scientist or technical leader, you will gain practical skills to run LLMs in production.
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.
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.
7 videos10 readings4 assignments2 ungraded labs
This module, learn Amazon Bedrock capabilities. Apply through model evaluations and customizations.
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.
2 videos5 readings1 assignment1 ungraded lab
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
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