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AI-Powered DevOps and Data Engineering on AWS · LearnSpace
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courseraПрограммирование

AI-Powered DevOps and Data Engineering on AWS

Курс от Packt
Средний≈ 3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course introduces Amazon Q Developer, a powerful AI assistant designed to accelerate software development. It helps developers automate repetitive tasks, generate code, and streamline workflows, all of which significantly improve productivity. By integrating generative AI into your development processes, you can quickly create optimized solutions for real-world challenges. The course equips learners with the skills to leverage AI to enhance coding efficiency, from generating code snippets to improving software security. You'll also learn how to seamlessly integrate AI into your IDE and AWS services, creating a smoother development experience. What sets this course apart is its combination of theoretical understanding and practical applications. Real-world case studies and examples demonstrate how generative AI can be used to overcome common coding challenges, from basic code generation to advanced security scanning. Developers, data engineers, and technical professionals with basic coding knowledge will benefit from this course. If you're looking to improve your workflow and productivity with AI, this course is for you. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Навыки, которые вы освоите

Extract, Transform, LoadAWS CloudFormationBuilding CodesGenerative AI AgentsVulnerability ScanningSecure CodingArtificial IntelligenceAWS SageMakerAI IntegrationsGenerative AIApplication SecurityAI literacyDevOpsIT AutomationDevops ToolsAI SecurityResponsible AIAI WorkflowsAI EnablementAmazon Web Services

Программа курса

4 модулей · 22 учебных материалов

01Simplifying Scanning and Fixing Security Vulnerabilities in Code3 материалов

Lesson 1

Simplifying Scanning and Fixing Security Vulnerabilities in Code - Overview VideoВидеоSimplifying Scanning and Fixing Security Vulnerabilities in Code - The ReadingЧтениеSecuring Code Through Automated ScanningЗадание
02Accelerate Data Engineering on AWS8 материалов

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

AI-Powered DevOps and Data Engineering on AWS
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский

Часть программы вашего университета

Lesson 1

Accelerate Data Engineering on AWS - Overview VideoВидео
IntroductionЧтение
Requirement 3Чтение
Code Assistance Integration with Amazon EMRЧтение
Requirement 6Чтение
Code Assistance Integration with Amazon SageMakerЧтение
Requirement 5Чтение
AWS Data Engineering and AI Code AssistanceЗадание
03Accelerate Building Solutions on AWS5 материалов

Lesson 1

Accelerate Building Solutions on AWS - Overview VideoВидеоIntroductionЧтениеSelecting the Optimal Amazon EC2 InstanceЧтениеTroubleshooting Console Errors with Amazon QЧтениеLeveraging Amazon Q for AWS Troubleshooting and OptimizationЗадание
04Accelerate the DevOps Process on AWS6 материалов

Lesson 1

Accelerate the DevOps Process on AWS - Overview VideoВидеоIntroductionЧтениеAmazon Q’s Feature Development Capability in Amazon CodeCatalystЧтениеAssigning Issues to Amazon QЧтениеReviewing and Revising Code ChangesЧтениеDevOps Process Optimization on AWSЗадание