DevOps and AI on AWS: Upgrading Apps with Generative AI

This course is part of DevOps and AI on AWS Specialization

Instructors: Morgan Willis +2 more

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What you'll learn

  •   Understanding observability and its importance in application development
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  •   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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  • Skills you'll gain

  •   Unit Testing
  •   Application Deployment
  •   Prompt Engineering
  •   DevOps
  •   Generative AI
  •   Git (Version Control System)
  •   Large Language Modeling
  •   CI/CD
  •   Amazon Elastic Compute Cloud
  •   Artificial Intelligence
  •   Amazon Web Services
  •   Application Development
  •   Data Ethics
  • There are 2 modules in this course

    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.

    Module 2: Upgrading the Travel Guide Application

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