AWS Certified Developer Boot Camp

Program Structure

Master AWS Development Best Practices in Singapore
Dive into expert-led sessions that teach the latest AWS development best practices tailored for professionals in Singapore’s cloud ecosystem.

Comprehensive Understanding of AWS Services and Deployment Models
Unlock the potential of AWS services by mastering deployment models and learning how to maximize efficiency in real-world scenarios.

Develop Scalable Cloud Applications
Learn to design and build scalable, resilient, and cost-effective cloud applications that meet the high standards of Singapore’s competitive tech industry.

Hands-On Experience with Interactive Workshops
Gain practical skills through immersive workshops. Work on live AWS environments, tackle real-world projects, and build confidence to excel in Singapore’s rapidly evolving cloud landscape.

Achieve success with DreamsPlus’ AWS Boot Camp in Singapore and become a certified developer ready to thrive in the region’s dynamic cloud ecosystem!

Domain 1: Development with AWS Services

Task Statement 1: Develop code for applications hosted on AWS.

• Architectural patterns, such as microservices, event-driven, monolithic, orchestration, choreography, and fanout
• Distinctions between stateful and stateless ideas; idempotency
•  Distinctions between components that are weakly and securely connected
•  Fault-tolerant design patterns (such as dead-letter queues and retries with exponential backoff and jitter).
•  How synchronous and asynchronous patterns differ from one another

Task Statement 2: Develop code for AWS Lambda.

•   Event-driven design
•   Scalability
•   Stateless apps,
•   Unit testing,
•    Event source mapping,
•    Lambda code access to private resources within VPCs

Task Statement 3: Use data stores in application development.

• Cloud storage solutions (file, object, database, etc.);
• High-cardinality partition keys for balanced partition access; • Relational and non-relational databases;
• CRUD (create, read, update, and delete) operations
• Models of database consistency (e.g., eventually consistent, strongly consistent)
•  Distinctions between scan and query operations
  The distinctions between ephemeral and persistent data storage structures; Amazon DynamoDB keys and indexing; caching techniques (such as write-through, read-through, lazy loading, and TTL); Amazon S3 tiers and lifecycle management;

Domain 2: Security

Task Statement 1: Implement authentication and/or authorization for applications and AWS services.

• Identity federation (e.g., JSON Web Token [JWT], OAuth, AWS Security Token Service [AWS STS], Security Assertion Markup Language [SAML], OpenID Connect [OIDC], Amazon Cognito)
• A comparison between Amazon Cognito’s user and identity pools
•  Principal policies, service policies, and resource-based policies
• The principles of least privilege, role-based access control (RBAC), application authorisation using ACLs, and the distinctions between customer-managed and AWS-managed policies
•  Management of identity and access

Task Statement 2: Implement encryption by using AWS services.

• Disparities between client-side and server-side encryption;
• Encryption at rest and in transit;
• Certificate management (e.g., AWS Private Certificate Authority);
• Key protection (e.g., key rotation);
• AWS managed and customer managed AWS Key Management Service (AWS KMS) keys

Task Statement 3: Manage sensitive data in application code.

• Classification of data (protected health information [PHI], personally identifiable information [PII], etc.)
•  Variables related to the environment
• Secrets management (using AWS Systems Manager Parameter Store and AWS Secrets Manager, for instance)
•  Safe management of credentials

Domain 3: Deployment

Task Statement 1: Prepare application artifacts to be deployed to AWS.

• Methods for obtaining application configuration data (such as AWS AppConfig, Secrets Manager, and Parameter Store);
• Packaging, layers, and configuration choices for Lambda deployment
• Git-based version control systems (like AWS CodeCommit and Git).
•  Pictures in containers

Task Statement 2: Test applications in development environments.

• Lambda versions and aliases;
• Integration testing with mock endpoints;
• AWS services features that carry out application deployment

Task Statement 3: Automate deployment testing.

•    Stages of the API Gateway;
•    Branches and actions in the workflow of continuous integration and delivery (CI/CD);
•   Automated software testing (e.g., unit and mock testing)

Task Statement 4: Deploy code by using AWS CI/CD services.

•   Git-based version control systems (like AWS Code Commit and Git). The following are some examples of AWS services and tools that are used in application deployment:
•   CloudFormation, AWS Cloud Development Kit [AWS CDK], AWS SAM, AWS Code Artifact, AWS Copilot, Amplify, Lambda;
•    Lambda deployment packaging options;

•    API Gateway stages and custom domains;
•    Deployment strategies (Canada, blue/green, rolling), etc. Manual and automated approvals in AWS CodePipeline
•    Access application configurations from AWS App Config and Secrets Manager;
•    CI/CD workflows

Domain 4: Troubleshooting and Optimization

Task Statement 1: Assist in a root cause analysis.

• Code analysis tools;
• Common HTTP error codes;
• Common exceptions created by SDKs;
• Data visualisations;
• Languages for log searches (e.g., Amazon CloudWatch Logs Insights);
• Logging and monitoring systems;
• Service maps in AWS X-Ray

Task Statement 2: Instrument code for observability.

• Structured logging; distributed tracing;
• Distinctions between observability, monitoring, and logging;  
• Application metrics (such as custom, embedded, and built-in).

Task Statement 3: Optimize applications by using AWS services and features.

• Messaging services (like Amazon Simple Queue Service [Amazon SQS] and Amazon Simple Notification Service [Amazon SNS])
• Caching
• Concurrency