AWS Certified Developer Associate (DVA-C03)

• Full-length practice exam with 400+ questions

• 115+ video lectures, 24+ hours of training videos for all exam objectives

• A cloud sandbox and over 118+ hands-on labs

• 5 full-length mock exams with exhaustive explanations

• Section tests — objective/topic-wise quiz for extra confidence

• This Course Valid Upto 2 Years from the date of purchase

AWS developers need practical skills to build secure, reliable, and efficient cloud applications. This certification validates the ability to use AWS services and development tools throughout the application lifecycle.

By preparing for DVA-C03, learners can:

• Develop and optimize applications using AWS services, APIs, SDKs, and the AWS CLI.

• Use AI-assisted development tools to support coding, testing, debugging, and code optimization.

• Integrate managed AI services into applications.

• Apply security practices to application code, credentials, encryption, and sensitive data.

• Test applications and use CI/CD workflows to deploy application updates.

• Troubleshoot application issues and improve performance, reliability, and resource utilization.

• Strengthen their skills for cloud development, backend engineering, and AWS-focused software development roles.

AWS recommends that candidates have:

• One or more years of hands-on experience developing and maintaining applications using AWS services.

• Proficiency in at least one high-level programming language.

• An understanding of application lifecycle management.

• Basic knowledge of cloud-focused application development.

• Experience using application development tools, including AI-assisted development tools.

• Familiarity with AI-assisted development workflows.

• Experience developing and securing applications using AWS service APIs, SDKs, and the AWS CLI.

• Knowledge of deploying applications through CI/CD workflows.

• Familiarity with integrating managed AI services into applications.

There are no mandatory prerequisite certifications for the AWS Certified Developer – Associate exam. 

However, learners should ideally have programming experience and practical familiarity with AWS application development. Understanding AWS SDKs, service APIs, application security, testing, deployment, logging, monitoring, and troubleshooting will help candidates prepare effectively.

Domain 1: Development with AWS Services — 30%

This domain evaluates the ability to develop and optimize applications using AWS services and development tools.

Key topics include:

• Developing applications with AWS SDKs, APIs, and the AWS CLI.

• Working with AWS compute, storage, database, and application integration services.

• Developing cloud-based application functionality.

• Using AI-assisted development tools to support application development.

• Integrating managed AI services into applications.

• Working with data stores and application data access patterns.

• Implementing application logic and service integrations.

• Optimizing application functionality and resource usage.

Domain 2: Security — 26%

This domain evaluates the ability to secure application code, credentials, and data when developing applications on AWS.

Key topics include:

• Implementing application-level security controls.

• Managing application credentials and secrets securely.

• Applying encryption to protect sensitive data.

• Using AWS identity and access capabilities to support secure application access.

• Applying appropriate permissions when applications access AWS services.

• Protecting data in transit and at rest.

• Securing application integrations with AWS services.

• Applying security practices when integrating managed AI services.

Domain 3: Testing and Deployment — 22%

This domain evaluates the ability to test applications and deploy application changes using AWS development and delivery tools.

Key topics include:

• Testing application functionality and behavior.

• Identifying defects before deployment.

• Using AWS development and testing tools.

• Packaging and deploying applications on AWS.

• Using CI/CD workflows to support application releases.

• Validating application changes and deployment outcomes.

• Applying testing and release practices to improve software quality.

Domain 4: Troubleshooting and Optimization — 22%

This domain evaluates the ability to identify application issues and improve application performance, reliability, and efficiency.

Key topics include:

• Diagnosing application errors and failures.

• Using logs, metrics, and monitoring data to investigate issues.

• Troubleshooting application interactions with AWS services.

• Identifying performance bottlenecks.

• Optimizing application behavior and resource utilization.

• Improving application observability.

• Investigating issues related to data access, service integration, and deployment.

• Using development tools and AI-assisted workflows to support debugging and optimization.

After completing this course, learners should be able to:

• Develop applications using AWS services, SDKs, APIs, and the AWS CLI.

• Build and optimize cloud-based application functionality.

• Use AI-assisted development tools in coding, testing, debugging, and optimization workflows.

• Integrate managed AI services into applications.

• Apply security controls to application code, credentials, and sensitive data.

• Use AWS services to store, retrieve, and process application data.

• Test applications and validate changes before release.

• Package and deploy applications through CI/CD workflows.

• Troubleshoot application errors and service integration issues.

• Use logging, metrics, and monitoring to investigate application behavior.

• Identify opportunities to improve application performance and resource utilization.

• Apply secure and reliable development practices throughout the application lifecycle.

This course is suitable for:

• Software developers building applications on AWS.

• Backend developers integrating AWS services into applications.

• Full-stack developers working with cloud-based application components.

• Cloud application developers.

• DevOps practitioners involved in application deployment and release workflows.

• Developers adopting AI-assisted coding and testing tools.

• IT professionals seeking to validate their AWS application development skills.

• Candidates preparing for the AWS Certified Developer – Associate DVA-C03 exam.

Earning the AWS Certified Developer – Associate certification can support career development in roles such as:

• AWS Cloud Developer

• Software Developer

• Cloud Application Developer

• Backend Developer

• Full-Stack Developer

• AWS Developer

• Application Engineer

• Cloud Software Engineer

• DevOps Engineer

• Cloud Integration Developer

• Exam Preparation: Practice the concepts and skills covered in the DVA-C03 exam domains.

• AWS Application Development: Strengthen knowledge of developing and optimizing applications using AWS services.

• AI-Assisted Development: Understand how AI tools can support coding, testing, debugging, and optimization.

• Application Security: Reinforce secure handling of credentials, encryption, permissions, and sensitive data.

• Testing and Deployment: Prepare for questions about application testing, packaging, and CI/CD workflows.

• Troubleshooting Skills: Improve the ability to diagnose application problems using logs, metrics, and monitoring.

• Performance Optimization: Learn to identify and address application inefficiencies.

• Career Development: Validate AWS development skills relevant to cloud application and software engineering roles.

• AWS application development

• AWS SDKs and service APIs

• AWS CLI

• Cloud-based application development

• Application integration

• AWS compute services

• AWS storage and database services

• AI-assisted development

• Managed AI service integration

• Application security

• Credential and secret management

• Encryption and sensitive data protection

• Application testing

• Application packaging and deployment

• CI/CD workflows

• Application troubleshooting

• Logging and monitoring

• Observability

• Performance optimization

• Resource utilization optimization

• Application lifecycle management