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AWS Certified Developer - Associate

Building scalable cloud applications is a core competency in modern software development. Developers who want to use AWS services, automation, and cloud architectures effectively need solid practical skills – and that is exactly what this course delivers.

Key topics

  • Planning, developing, and deploying cloud-native applications to production.
  • Working confidently with core AWS services for compute, databases, and storage.
  • Implementing serverless architectures, API Gateway, and event-driven design.
  • Establishing security concepts, monitoring strategies, and error handling in the cloud.
  • Automating deployments with CI/CD pipelines and infrastructure as code.
  • Managing costs and optimising the performance of cloud applications.

Prerequisite
Participants benefit most from experience in software development and programming logic, along with basic familiarity with cloud or web technologies.

Target group
Technical professionals who develop, automate, or integrate AWS applications – including software developers, DevOps engineers, and cloud architects.

After completing the course, you will be ready to build AWS applications professionally and to prepare systematically for the AWS Developer Associate certification.

Course content
  • Introduction to course objectives and structure
  • Core concepts and terminology
  • Training schedule and course materials
  • Getting started with the AWS development environment
  • Understanding the requirements and architecture of the planned application.
  • Selecting appropriate AWS services for implementation.
  • Applying storage, management, and deployment options effectively.
  • Setting up and using automated access to AWS services.
  • Applying efficient development patterns with AWS SDKs and AWS CLI.
  • Getting to know the benefits and use cases of AWS Cloud9.
  • Applying key IAM components and tools in a development context.
  • Validating and configuring permissions in AWS IAM.
  • Customising SDKs and IDEs for smooth development operations.
  • Accessing AWS services using SDKs and Cloud9.
  • Understanding the basic principles and functionality of Amazon S3.
  • Reviewing data backup options available with Amazon S3.
  • Defining the required SDK components in code.
  • Establishing and configuring a connection to the Amazon S3 service.
  • Working with request and response objects effectively.
  • Executing key actions on buckets and objects in a structured way.
  • Handling large and multiple files efficiently.
  • Setting up and customising an Amazon S3 bucket for static websites.
  • Granting and managing time-limited object access.
  • Implementing Amazon S3 workflows with SDKs in practice.
  • Getting to know the core elements and structure of DynamoDB.
  • Building and configuring a connection to DynamoDB.
  • Structuring and using query objects effectively.
  • Evaluating and interpreting response objects.
  • Recognising and understanding typical error messages.
  • Writing program code for data exchange with DynamoDB via AWS SDKs.
  • Applying CRUD operations on tables, indexes, and stored data.
  • Following best practices for reliable DynamoDB access.
  • Evaluating caching options to improve database performance.
  • Structuring and implementing DynamoDB calls efficiently with SDK.
  • Creating and configuring Lambda functions using appropriate SDKs.
  • Setting up triggers and access rights for Lambda functions.
  • Testing, deploying, and monitoring Lambda functions.
  • Understanding and applying the core functions of API Gateway.
  • Developing and configuring gateway resources for use with AWS services.
  • Adapting API requests and responses to application endpoints.
  • Validating API resources and activating endpoints.
  • Providing gateway resources for API interaction within the application.
  • Identifying the limitations of rigid monolithic architectures.
  • Highlighting the advantages of flexible microservice architectures.
  • Presenting and comparing development strategies for microservices.
  • Outlining approaches for gradually replacing monolithic systems.
  • Implementing automated workflows with AWS Step Functions.
  • Analysing modern security standards for cloud applications.
  • Understanding and setting up authentication with Amazon Cognito.
  • Controlling user permissions and approvals for serverless APIs.
  • Consistently applying best practices with Amazon Cognito.
  • Implementing the Cognito connection and validating JWT tokens.
  • Identifying and assessing the risks of traditional software development processes.
  • Understanding and applying the core principles of DevOps methods.
  • Setting up AWS SAM templates for serverless applications.
  • Getting to know and comparing different deployment strategies.
  • Deploying serverless applications with AWS SAM in a production-ready way.
  • Distinguishing between monitoring and analysis in cloud contexts.
  • Assessing the importance of analysis in modern cloud development.
  • Understanding the role of CloudWatch in setting up analysis functions.
  • Using CloudWatch Application Insights for application monitoring.
  • Applying X-Ray for error diagnosis in cloud applications.
  • Summary of key course content
  • Overview of further AWS training programmes
  • AWS certifications and next learning goals
  • Course feedback and close

Frequently asked questions

  • The certification validates in-depth expertise in building and integrating cloud-based applications on AWS – covering code delivery, security practices, and the use of core AWS services.
  • The exam focuses on areas such as AWS fundamentals, serverless applications, API integration, code deployment, IAM permissions, troubleshooting, and cloud monitoring.
  • Basic knowledge of programming and cloud technologies is helpful. Participants who are new to AWS will benefit from completing a foundational AWS training before attending this course.
  • Python, Java, and JavaScript are most commonly used. The exam does not test detailed syntax knowledge, but familiarity with cloud-specific logic and code examples is important.
  • AWS certification improves job prospects in the cloud sector, demonstrates technical expertise, and is recognised worldwide – particularly in IT departments, software development, and cloud consulting.
  • Common responsibilities include developing cloud-based applications, implementing Lambda functions, API integration, applying security concepts, automating deployments, and working with CI/CD pipelines.
  • Cloud Practitioner is an entry-level certification covering foundational knowledge. Developer Associate goes deeper and targets professionals with a technical or development-related background.

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