+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: AWS AI Series - Amazon Q Developer - Your CoPilot 2024 (/Thread-AWS-AI-Series-Amazon-Q-Developer-Your-CoPilot-2024)
AWS AI Series - Amazon Q Developer - Your CoPilot 2024 - OneDDL - 07-28-2024
![[Image: 5efaa6ed6da446d6f1f1f75264b8d1a0.jpeg]](https://i123.fastpic.org/big/2024/0728/a0/5efaa6ed6da446d6f1f1f75264b8d1a0.jpeg)
Free Download AWS AI Series | Amazon Q Developer | Your CoPilot | 2024
Published 7/2024
Created by Karan Gupta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 29m ) | Size: 2 GB
Includes Working on AWS Console, IDE, Slack Integration, CLI | AWS Certified AI Practitioner | Optimise code on clicks
What you'll learn:
Master Amazon Q Developer setup and integration
Develop effective code generation skills using AI
Optimize AWS service utilization with Amazon Q
Enhance debugging and troubleshooting capabilities
Accelerate documentation processes using AI assistance
Implement AI-driven security best practices
Optimize code performance with Amazon Q insights
Improve collaborative development workflows
Customize Amazon Q for specific project needs
Apply AI-assisted coding to real-world scenarios
Deepen AWS ecosystem integration knowledge
Adopt ethical AI practices in software development
Requirements:
No Prior Experience Needed: This course is designed for beginners with no previous experience with AI/ GenAI/ AWS / Amazon Q concepts.
From Basics to Details: We start from the fundamentals of AI/ GenAI/ AWS / Amazon Q, explaining core concepts and terminology in a clear and concise manner.
Step-by-Step Guidance: Each topic is presented in a structured manner, with step-by-step guidance on installation, configuration, and usage of AI/ GenAI/ AWS / Amazon Q.
Hands-On Learning: Hands-on labs and exercises are provided throughout the course to reinforce learning and allow you to practice what you've learned in a real-world environment.
Self-Paced Learning: You can learn at your own pace, pausing, rewinding, and replaying lectures as needed to fully grasp each concept.
Continuous Support: Even after completing the course, you'll have access to resources and support to help you continue your learning journey and apply your newfound skills in real-world scenarios.
Description:
"Master Amazon Q Developer: AI-Powered Coding for AWS Ecosystems"Unlock the full potential of AI-assisted development with our comprehensive Amazon Q Developer course. This cutting-edge program is designed for developers, software engineers, and AWS professionals looking to supercharge their productivity and innovation within the AWS ecosystem.Course Overview: In this hands-on course, you'll dive deep into Amazon Q Developer, learning how to leverage its AI capabilities to streamline your coding process, enhance problem-solving, and accelerate project delivery. From code generation to debugging and optimization, you'll discover how Amazon Q Developer can transform your development workflow.What You'll Learn:Amazon Q Developer Fundamentals:Understanding the AI technology behind Amazon QSetting up and configuring Amazon Q in your development environmentBest practices for integrating Amazon Q into your workflowAI-Assisted Coding:Generating code snippets and entire functions with natural language promptsUtilizing Amazon Q for code completion and suggestionsAdapting Amazon Q's output to match your coding style and project requirementsAWS Service Integration:Leveraging Amazon Q to navigate and implement AWS servicesGenerating AWS CloudFormation templates and Infrastructure as CodeOptimizing AWS resource usage with AI-powered suggestionsDebugging and Troubleshooting:Using Amazon Q to identify and fix code errorsAI-assisted log analysis and error tracingGenerating test cases and improving code coverageDocumentation and Knowledge Management:Automating code documentation with Amazon QCreating and maintaining wikis and internal knowledge basesEnhancing code readability and maintainabilitySecurity and Best Practices:Implementing secure coding practices with Amazon Q's guidanceIdentifying potential vulnerabilities in your codeEnsuring compliance with industry standards and AWS best practicesPerformance Optimization:Using Amazon Q to optimize code performanceIdentifying bottlenecks and suggesting improvementsScaling applications efficiently within the AWS environmentCollaborative Development:Integrating Amazon Q into team workflowsEnhancing code reviews and pair programming sessionsStandardizing coding practices across teamsReal-World Applications: Throughout the course, you'll work on practical, real-world projects that simulate actual development scenarios. You'll learn how to:Rapidly prototype new features and applicationsRefactor and modernize legacy codeImplement complex AWS architectures with easeAutomate routine coding tasks to focus on high-value developmentBy the end of this course, you'll be equipped to:Significantly reduce development time and increase productivityWrite more efficient, secure, and maintainable codeSeamlessly integrate AI assistance into your daily coding practicesLeverage the full power of AWS services in your applicationsStay ahead of the curve in the rapidly evolving field of AI-assisted developmentWhether you're a seasoned AWS developer or new to the ecosystem, this course will empower you to take your coding skills to the next level with Amazon Q Developer. Join us and become a pioneer in the future of AI-augmented software development!"
Who this course is for:
For Beginners: Individuals with little to no experience in AI/ GenAI/ AWS / Amazon Q. Fresh graduates or students looking to kickstart their careers in AI/ GenAI/ AWS / Amazon Q or software development.
Everyone can pick up this course, at their own pace.
For Intermediate Users: Professionals who have some familiarity with AI but want to deepen their understanding and skills. Developers or sysadmins who have worked with AI in basic capacities but seek to expand their knowledge and capabilities.
For Advanced Users: Experienced AI engineers, software architects, or team leads who want to refine their AI skills and stay updated with the latest best practices.
For Career Changers: Individuals transitioning from other IT roles (such as system administration, software development, or quality assurance) to AI / GenAI / Amazon Q
Homepage
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
No Password - Links are Interchangeable