DevOps and AI on AWS: CI/CD for Generative AI Applications

DevOps and AI on AWS: CI/CD for Generative AI Applications

This course is part of DevOps and AI on AWS Specialization

Instructors: Russell Sayers

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3 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Implement DevOps practices including automated builds, testing, and continuous integration pipelines.
Design and execute automatic deployments using Amazon CodeDeploy in a CI/CD pipeline.
Demonstrate how DevOps and AIOps practices improve continuous releases, time to market, and reduce human error in app development and operations.
Apply AI-enhanced monitoring and observability techniques using Amazon CloudWatch Anomaly Detection and AWS X-Ray Insights.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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This course is part of the DevOps and AI on AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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 3 modules in this course

In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments.

With dedicated modules for Automatic deployments, Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error.

This module introduces the fundamentals of DevOps and its role in modern software development. It covers key principles such as Continuous Integration (CI), Infrastructure as Code (IaC), and automation, providing a foundation for managing infrastructure efficiently. You will explore how DevOps integrates with generative AI workflows, addressing unique challenges like AI model testing and deployment.

What's included

11 videos8 readings2 assignments1 app item2 plugins

11 videos Total 67 minutes

Introduction to the Course 3 minutes
Introduction to DevOps 6 minutes
Module 1 Introduction 1 minute
The Role of IaC in DevOps 7 minutes
The Code Phase 6 minutes
GenAI Considerations for DevOps 4 minutes
The Build 10 minutes
The Test 7 minutes
Testing Generative AI Applications 6 minutes
Adding Tests to Continuous Integration 7 minutes
Continuous Integration 9 minutes

8 readings Total 52 minutes

Welcome to the course 5 minutes
Pre-Course Survey 1 minute
Course Roadmap 5 minutes
DevOps and IaC 10 minutes
GenAI considerations for DevOps 10 minutes
Code build tools and services 10 minutes
Continuous Integration 10 minutes
Mid-Course Survey 1 minute

2 assignments Total 30 minutes

Module 1 Quiz 10 minutes
Pre-Assessment 20 minutes

1 app item Total 60 minutes

Set Up CI/CD Pipeline 60 minutes

2 plugins Total 25 minutes

Pre-Course Survey 10 minutes
Mid-Course Survey 15 minutes

This module focuses on deployment strategies and automation in a DevOps pipeline. Learners gain hands-on insights into AWS CodeDeploy, AWS CloudFormation, and AWS CDK, understanding how to automate infrastructure provisioning and application releases. The module also explores best practices for reducing downtime, troubleshooting deployments, and ensuring smooth model rollouts in generative AI applications.

What's included

12 videos4 readings1 assignment1 app item

12 videos Total 72 minutes

Module 2 Introduction 3 minutes
Deployment Strategies for Amazon EC2 8 minutes
Understanding the AppSpec file 4 minutes
Using AWS CodeDeploy in a Pipeline 4 minutes
Troubleshooting Deployment Details and Errors 5 minutes
CI/CD Pipelines for Infrastructure Components 4 minutes
Introduction to AWS CloudFormation 6 minutes
Reviewing an AWS CloudFormation Template 8 minutes
AWS CloudFormation: How to Handle and Prevent Errors 6 minutes
Troubleshooting AWS CloudFormation 5 minutes
Using the AWS Cloud Development Kit 8 minutes
Deploying Our Application Stack Using the AWS CDK 11 minutes

4 readings Total 45 minutes

Deployment Strategies for Serverless 10 minutes
AWS CloudFormation Extended Features 15 minutes
Troubleshooting AWS CloudFormation 10 minutes
AWS Cloud Development Kit 10 minutes

1 assignment Total 10 minutes

Module 2 Quiz 10 minutes

1 app item Total 60 minutes

Deploy Application Infrastructure Using CDK With a CI/CD Pipeline 60 minutes

This module explores the importance of monitoring, observability, and operational management in DevOps workflows. Learners discover how to use Amazon CloudWatch, AWS CloudTrail, AWS X-Ray, and AWS Systems Manager to track application performance, detect issues, and ensure infrastructure stability. Special focus is given to observability in generative AI applications, highlighting metrics, logging, and automated response strategies to maintain system reliability.