Grow generative AI expertise with this course focusing on customizing, optimizing, and automating AI solutions using Amazon Bedrock. This course is designed for developers who want to fine-tune their AI applications for peak performance and efficiency.
Amazon Bedrock Customization, Optimization & Automation
Amazon Bedrock Customization, Optimization & Automation
This course is part of AWS Generative AI for Developers Professional Certificate
Instructors: Morgan Willis +2 more
Included with 
Gain insight into a topic and learn the fundamentals.
4.9
(12 reviews)
Intermediate level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Model Fine-tuning
Performance Optimization
Automated Evaluation
Skills you'll gain
- Category: Automation
- Category: AWS SageMaker
- Category: Large Language Modeling
- Category: Prompt Engineering
- Category: Artificial Intelligence
- Category: Amazon Bedrock
- Category: Generative AI
- Category: Performance Testing
- Category: LangChain
- Category: Data Processing
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
July 2025
Assessments
3 assignments
Taught in English
Build your Cloud Computing expertise
This course is part of the AWS Generative AI for Developers Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
This module explores how developers can improve the output of foundation models using customization techniques in Amazon Bedrock. You will learn about fine-tuning with labeled data, continued pretraining with domain-specific content, and model distillation for cost-effective performance. The module also introduces LangChain to enhance AI workflows. You will gain practical knowledge to tailor models to their specific use cases and boost relevance and accuracy.
What's included
5 videos3 readings1 assignment
In this module, you will learn how to improve the efficiency and scalability of generative AI applications using Amazon Bedrock. You will use Bedrock Evaluation Jobs for comparing model responses, and apply prompt caching and routing to optimize performance. The module also covers automation techniques using Bedrock Data Automation and Amazon Q Developer on the command line. By the end, you will be equipped to streamline inference, automate tasks, and make intelligent deployment decisions.
What's included
8 videos6 readings2 assignments1 plugin
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Instructors
Instructor ratings
4.8 (6 ratings)Morgan Willis
Amazon Web Services
32 Courses891,974 learners
Offered by
Amazon Web Services
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