Amazon Bedrock Customization, Optimization & Automation

Amazon Bedrock Customization, Optimization & Automation

This course is part of AWS Generative AI and AI Agents with Amazon Bedrock Professional Certificate

Instructors: Russell Sayers +2 more

2,814 already enrolled

Included with

2 modules

Gain insight into a topic and learn the fundamentals.

32 reviews

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

32 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: Model Optimization
Category: LLM Application
Category: Token Optimization
Category: Data Processing
Category: Model Training
Category: Transfer Learning
Category: Artificial Intelligence
Category: Fine-tuning
Category: Model Evaluation

Tools you'll learn

Category: AI Workflows
Category: Amazon Bedrock
Category: Prompt Engineering
Category: LangChain
Category: Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

Build your Cloud Computing expertise

This course is part of the AWS Generative AI and AI Agents with Amazon Bedrock 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
Earn a shareable career certificate from Amazon Web Services

There are 2 modules in this course

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.

You'll begin by exploring model customization techniques, including fine-tuning and continued pre-training. Learn how to adapt foundation models to your specific use cases, enhancing their performance on domain-specific tasks. The course then dives into advanced optimization strategies. You'll work with Bedrock Evaluation Jobs to assess and compare model performance, implement prompt caching for improved response times, and utilize prompt routing for efficient model selection. In the automation section, you'll discover how to streamline AI workflows using Bedrock Data Automation. This tool will enable you to process and transform large datasets. Throughout the course, you'll work in hands-on labs and real-world scenarios, applying these advanced techniques to solve complex AI challenges. By the conclusion of the course, you'll be designing, implementing, and maintaining AI solutions, stretching the limits of what's possible with generative AI on AWS. Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.

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

8 videosTotal 48 minutes

Amazon Bedrock Evaluation Jobs7 minutes
Prompt Caching5 minutes
Prompt Routing5 minutes
Bedrock Data Automation7 minutes
Demo Amazon Q Developer CloudWatch Logs Analysis6 minutes
Demo Amazon Q CLI6 minutes
Tech Talk: Amazon Bedrock for Generative AI Wrap-up Part 16 minutes
Tech Talk: Amazon Bedrock for Generative AI Wrap-up Part 26 minutes

6 readingsTotal 151 minutes

Exercise: Prompt Caching with Amazon Bedrock60 minutes
Model Assessment and Efficiency10 minutes
Automation with Amazon Bedrock10 minutes
Exercise: Amazon Bedrock Data Automation60 minutes
Glossary Course 310 minutes
Post-Course Survey1 minute

2 assignmentsTotal 40 minutes

Module 2 Quiz10 minutes
Final Assessment30 minutes

1 pluginTotal 15 minutes

Post-Course Survey15 minutes

Earn a career certificate

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Instructors

Instructor ratings

(16 ratings)

Russell Sayers

Amazon Web Services

21 Courses136,615 learners

Offered by

Amazon Web Services

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.