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DevOps and AI on AWS: Upgrading Apps with Generative AI
Coursera
Course
Unknown

DevOps and AI on AWS: Upgrading Apps with Generative AI

Amazon Web Services

Explore the integration of DevOps and generative AI on AWS by enhancing apps with Amazon Bedrock's large language models and advanced AI techniques.

Unknown2 weeksEnglish

About 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

What You'll Learn

  • Understand observability and its role in application development
  • Apply AIOps use cases in real-world scenarios
  • Identify key AIOps components including anomaly detection and automated root cause analysis

Prerequisites

  • Basic understanding of DevOps practices
  • Fundamental knowledge of AWS services
  • Familiarity with AI concepts

Instructors

R

Russell Sayers

R

Rafael Lopes

AWS Training & Certification

Topics

Amazon Bedrock
DevOps
Test Case
Amazon Elastic Compute Cloud
LLM Application
Application Lifecycle Management
Responsible AI
Version Control
AI Enablement
Unit Testing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Amazon Bedrock
DevOps
اختبار البرمجيات
Amazon Elastic Compute Cloud
تطبيقات LLM
إدارة دورة حياة التطبيقات
الذكاء الاصطناعي المسؤول
نظام السيطرة على النسخ
AI Enablement
Unit Testing

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