Course Modules
Module I: Cloud Architecture Patterns and Development
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Differences between monolithic, microservices, and event-driven architectures.
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Implementing event-driven patterns using Amazon EventBridge.
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Resilient third-party integrations (retry logic, circuit breakers).
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Using Artificial Intelligence with Amazon Q Developer for development assistance.
Module II: Serverless Development with AWS Lambda
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Advanced Lambda configuration (memory, concurrency, layers, and environment variables).
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Event lifecycle management, error handling, and Dead-Letter Queues.
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Secure integration of Lambda functions with private resources in a VPC.
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Real-time data processing and transformation.
Module III: Databases and Caching Strategies
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Modeling and optimizing Amazon DynamoDB (Partition keys, indexing, consistency).
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Implementing caching services to improve performance (Amazon ElastiCache).
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Data serialization and data lifecycles.
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Using specialized data stores (e.g., Amazon OpenSearch Service).
Module IV: Application Authentication and Authorization
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Implementing federated access and user pools with Amazon Cognito.
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Permissions and role management with AWS Identity and Access Management (IAM).
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Application-level authorization for fine-grained access control.
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Handling cross-service authentication in microservice architectures.
Module V: Encryption and Sensitive Data Management
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Encryption at rest and in transit using AWS KMS and AWS Private CA.
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Secret management and key rotation with AWS Secrets Manager.
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Application-level data masking and sanitization (PII/PHI).
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Data access patterns for multi-tenant applications.
Module VI: Artifact Preparation and Infrastructure as Code (IaC)
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Directory organization and dependency management for deployments.
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Managing environment-specific configurations using AWS AppConfig.
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Infrastructure deployment using AWS SAM templates and AWS CDK.
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Applying application requirements for compute resources.
Module VII: Automated Testing in Development
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Writing integration tests and mocking APIs for external dependencies.
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Generating automated tests using Amazon Q Developer.
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Testing event-driven applications and stage configurations in API Gateway.
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Creating application test payloads (JSON) for Lambda and SAM resources.
Module VIII: Continuous Deployment (CI/CD) on AWS
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Packaging and version management for cloud-native applications.
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Workflow orchestration with AWS CodeBuild, CodeDeploy, and CodePipeline.
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Configuring safe deployment strategies (Blue/Green, Canary, Rolling).
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Performing rollbacks and managing custom domains in API Gateway.
Module IX: Observability and Code Instrumentation
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Key differences between logging, monitoring, and observability.
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Implementing structured logging for application events and user actions.
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Tracing distributed requests by adding annotations with AWS X-Ray.
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Configuring application health checks, readiness probes, and notification alerts.
Module X: Troubleshooting and Performance Optimization
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Debugging service integration issues in applications.
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Analyzing custom metrics using CloudWatch Embedded Metric Format (EMF).
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Identifying performance bottlenecks by querying application logs.
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Implementing application-level caching and optimizing resource usage.
Current process description
The AWS Certified Developer - Associate (DVA-C02) course is designed for developers who want to learn how to write, deploy, and maintain cloud-native applications on AWS.
Under the Practical Learning Method approach, participants will receive a Cloud Entrance Pack to apply concepts through workshops, laboratories, and projects in real environments. The course uses key modern AWS tools such as Lambda, API Gateway, DynamoDB, AWS CDK/SAM, CI/CD pipelines, and integrates AI for development with Amazon Q Developer. It focuses on building serverless applications, advanced security, observability, and automated cloud software deployment.
At the end of the course, participants will be prepared to perform as an AWS Cloud Developer, Serverless Engineer, or Backend Developer, in addition to being fully equipped to pass the international DVA-C02 certification exam.
Objectives
At the end of the course, participants will be able to:
- Develop, deploy, and debug cloud-native applications on AWS, following cloud architecture best practices
- Integrate applications with core services, including AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon API Gateway
- Implement Generative AI into the development workflow using Amazon Q Developer to accelerate code authoring and testing
- Configure advanced security schemes, managing authentication and authorization with AWS IAM and Amazon Cognito, and securing sensitive data with AWS Secrets Manager
- Optimize performance and scalability, applying caching strategies with Amazon ElastiCache and Amazon CloudFront, alongside compute resource optimization
- Design modern architectures based on microservices and event-driven patterns using AWS Lambda, Step Functions, and Amazon EventBridge
- Automate the application lifecycle through Infrastructure as Code (IaC) with AWS SAM and AWS CDK, while integrating CI/CD pipelines
- Ensure application observability, monitoring and troubleshooting issues using Amazon CloudWatch and AWS X-Ray
- Pass the DVA-C02 certification exam, mastering the official AWS development best practices framework
Prerequisites
Preferred schedule
To participate in this training, attendees must meet the following requirements:
- Having taken the AWS Certified Cloud Practitioner course or demonstrating equivalent experience in AWS
- Experience in programming in any language
- Basic knowledge about software architecture and APIs development
- These requirements ensure that participants can focus on the practical application of advanced concepts during training
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification AWS Certified Developer Associate | 40 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by AWS ACADEMY MEMBER INSTITUTION
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.
Current process description
The AWS Certified Developer - Associate (DVA-C02) course is designed for developers who want to learn how to write, deploy, and maintain cloud-native applications on AWS.
Under the Practical Learning Method approach, participants will receive a Cloud Entrance Pack to apply concepts through workshops, laboratories, and projects in real environments. The course uses key modern AWS tools such as Lambda, API Gateway, DynamoDB, AWS CDK/SAM, CI/CD pipelines, and integrates AI for development with Amazon Q Developer. It focuses on building serverless applications, advanced security, observability, and automated cloud software deployment.
At the end of the course, participants will be prepared to perform as an AWS Cloud Developer, Serverless Engineer, or Backend Developer, in addition to being fully equipped to pass the international DVA-C02 certification exam.
Objectives
At the end of the course, participants will be able to:
- Develop, deploy, and debug cloud-native applications on AWS, following cloud architecture best practices
- Integrate applications with core services, including AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon API Gateway
- Implement Generative AI into the development workflow using Amazon Q Developer to accelerate code authoring and testing
- Configure advanced security schemes, managing authentication and authorization with AWS IAM and Amazon Cognito, and securing sensitive data with AWS Secrets Manager
- Optimize performance and scalability, applying caching strategies with Amazon ElastiCache and Amazon CloudFront, alongside compute resource optimization
- Design modern architectures based on microservices and event-driven patterns using AWS Lambda, Step Functions, and Amazon EventBridge
- Automate the application lifecycle through Infrastructure as Code (IaC) with AWS SAM and AWS CDK, while integrating CI/CD pipelines
- Ensure application observability, monitoring and troubleshooting issues using Amazon CloudWatch and AWS X-Ray
- Pass the DVA-C02 certification exam, mastering the official AWS development best practices framework
Prerequisites
Preferred schedule
To participate in this training, attendees must meet the following requirements:
- Having taken the AWS Certified Cloud Practitioner course or demonstrating equivalent experience in AWS
- Experience in programming in any language
- Basic knowledge about software architecture and APIs development
- These requirements ensure that participants can focus on the practical application of advanced concepts during training
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification AWS Certified Developer Associate | 40 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by AWS ACADEMY MEMBER INSTITUTION
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certificationsAll our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.