DevOps and AI on AWS: Upgrading Apps with Generative AI
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DevOps and AI on AWS: Upgrading Apps with Generative AI
This course is part of DevOps and AI on AWS Specialization
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What you'll learn
Understanding observability and its importance in application development
Practical use cases for AIOps in real-world scenarios
Key components of AIOps, including anomaly detection, predictive analysis, automated root cause analysis, and remediation
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There are 2 modules in this course
Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).
We focus on essential DevOps practices, guiding you through the process of coding, building, and testing an application upgraded with generative AI capabilities. You'll learn to integrate these AI features seamlessly into your software development lifecycle, ensuring smooth deployment and maintenance. The course also sharpens crucial developer skills. We highlight how to enable effective source control management, enabling efficient collaboration and version control in your projects. Additionally, you'll master unit testing to ensure the reliability of your applications.By the end of this course, you'll be equipped to modernize applications using generative AI, implement proven DevOps practices, and leverage AWS' AI services. Whether you're a developer expanding your AI expertise or a DevOps professional incorporating AI technologies, this course provides the tools to excel in the evolving landscape of software development and artificial intelligence. Join us to transform your applications and development practices with the power of generative AI on AWS.
This module introduces the TravelGuideAI application, a travel guide application that will be upgraded with generative AI features. It covers the course overview, source code repositories, and the tools and services required for developing generative AI applications, such as Amazon Bedrock, prompt engineering, and Amazon Q Developer.
What's included
10 videos4 readings2 assignments1 app item1 plugin
10 videos•Total 57 minutes
- Welcome to the Course•8 minutes
- Meet the Instructors•2 minutes
- Module 1 Introduction•5 minutes
- Travel Guide Example Application•6 minutes
- Source Code Repositories•7 minutes
- Product Planning•4 minutes
- Generative AI with Amazon Bedrock•7 minutes
- Prompt Engineering•5 minutes
- Web Hosting with Amazon EC2•9 minutes
- Amazon Q Developer•5 minutes
4 readings•Total 36 minutes
- Pre-Course Survey•1 minute
- Course Roadmap•5 minutes
- Source Code Repositories•10 minutes
- Amazon Bedrock and Prompt Engineering•20 minutes
2 assignments•Total 50 minutes
- Module 1 Quiz•20 minutes
- Pre-Assessment•30 minutes
1 app item•Total 60 minutes
- Introducing the TravelGuideAI App•60 minutes
1 plugin•Total 10 minutes
- Pre-Course Survey•10 minutes
This module focuses on integrating generative AI features into the TravelGuideAI application using Amazon Bedrock. It covers branching strategies, upgrading the application, deploying the updated application, and exploring advanced topics like customizing Amazon Bedrock models, responsible AI, and the need for DevOps practices.
What's included
10 videos3 readings2 assignments1 app item1 plugin
10 videos•Total 57 minutes
- Module 2 Introduction•1 minute
- Branching Strategies•7 minutes
- Upgrading the Travel Guide application•5 minutes
- Deploying the Travel Guide application•6 minutes
- Customizing an Amazon Bedrock Model•8 minutes
- Amazon Bedrock Knowledge Bases•10 minutes
- A closer look at Amazon Bedrock•7 minutes
- Responsible AI•6 minutes
- The Need for DevOps•5 minutes
- Course Closing•2 minutes
3 readings•Total 36 minutes
- Amazon Bedrock•20 minutes
- Amazon Bedrock and Responsible AI•15 minutes
- Post-Course Survey•1 minute
2 assignments•Total 80 minutes
- Module 2 Quiz•20 minutes
- Final Assessment•60 minutes
1 app item•Total 60 minutes
- Build and deploy the TravelGuideAI App•60 minutes
1 plugin•Total 10 minutes
- Post-Course Survey•10 minutes
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Reviewed on Jun 13, 2025
It very much technical course not just the theoretical also it has very good 2 hands on lab to understand and implement the course concepts
Reviewed on May 13, 2025
I can understand more about AWS services that they can apply in GenAI projects. This course can help me to work in my project.
Frequently asked questions
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