Course Details
Topic 1 Development with AWS Services
Topic 1 Develop code for applications hosted on AWS
- Architectural patterns (for example, event-driven, microservices, monolithic, choreography, orchestration, fanout)
- Idempotency
- Differences between stateful and stateless concepts
- Differences between tightly coupled and loosely coupled components
- Fault-tolerant design patterns (for example, retries with exponential backoff and jitter, dead-letter queues)
- Differences between synchronous and asynchronous patterns
- Creating fault-tolerant and resilient applications in a programming language (for example, Java, C#, Python, JavaScript, TypeScript, Go)
- Creating, extending, and maintaining APIs (for example, response/request transformations, enforcing validation rules, overriding status codes)
- Writing and running unit tests in development environments (for example, using AWS Serverless Application Model [AWS SAM])
- Writing code to use messaging services
- Writing code that interacts with AWS services by using APIs and AWS SDKs
- Handling data streaming by using AWS services
Topic 2 Develop code for AWS Lambda.
- Event source mapping
- Stateless applications
- Unit testing
- Event-driven architecture
- Scalability
- The access of private resources in VPCs from Lambda code
- Configuring Lambda functions by defining environment variables and parameters (for example, memory, concurrency, timeout, runtime, handler, layers, extensions, triggers, destinations)
- Handling the event lifecycle and errors by using code (for example, Lambda Destinations, dead-letter queues)
- Writing and running test code by using AWS services and tools
- Integrating Lambda functions with AWS services
- Tuning Lambda functions for optimal performance
Topic 3 Use data stores in application development.
- Relational and non-relational databases
- Create, read, update, and delete (CRUD) operations
- High-cardinality partition keys for balanced partition access
- Cloud storage options (for example, file, object, databases)
- Database consistency models (for example, strongly consistent, eventually consistent)
- Differences between query and scan operations
- Amazon DynamoDB keys and indexing
- Caching strategies (for example, write-through, read-through, lazy loading, TTL)
- Amazon S3 tiers and lifecycle management
- Differences between ephemeral and persistent data storage patterns
- Serializing and deserializing data to provide persistence to a data store
- Using, managing, and maintaining data stores
- Managing data lifecycles
- Using data caching services
LU 2: Security
Topic 4 Implement authentication and/or authorization for applications and AWS services.
- Identity federation (for example, Security Assertion Markup Language [SAML], OpenID Connect [OIDC], Amazon Cognito)
- Bearer tokens (for example, JSON Web Token [JWT], OAuth, AWS Security Token Service [AWS STS])
- The comparison of user pools and identity pools in Amazon Cognito
- Resource-based policies, service policies, and principal policies
- Role-based access control (RBAC)
- Application authorization that uses ACLs
- The principle of least privilege
- Differences between AWS managed policies and customer-managed policies
- Identity and access management
- Using an identity provider to implement federated access (for example, Amazon Cognito, AWS Identity and Access Management [IAM])
- Securing applications by using bearer tokens
- Configuring programmatic access to AWS
- Making authenticated calls to AWS services
- Assuming an IAM role
- Defining permissions for principals
Topic 5 Implement encryption by using AWS services.
- Encryption at rest and in transit
- Certificate management (for example, AWS Private Certificate Authority)
- Key protection (for example, key rotation)
- Differences between client-side encryption and server-side encryption
- Differences between AWS managed and customer managed AWS Key Management Service (AWS KMS) keys
- Using encryption keys to encrypt or decrypt data
- Generating certificates and SSH keys for development purposes
- Using encryption across account boundaries
- Enabling and disabling key rotation
Topic 6 Manage sensitive data in application code.
- Data classification (for example, personally identifiable information [PII], protected health information [PHI])
- Environment variables
- Secrets management (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)
- Secure credential handling
- Encrypting environment variables that contain sensitive data
- Using secret management services to secure sensitive data
- Sanitizing sensitive data
LU3 Deployment
Topic 7 Prepare application artifacts to be deployed to AWS
- Ways to access application configuration data (for example, AWS AppConfig, Secrets Manager, Parameter Store)
- Lambda deployment packaging, layers, and configuration options
- Git-based version control tools (for example, Git, AWS CodeCommit)
- Container images
- Managing the dependencies of the code module (for example, environment variables, configuration files, container images) within the package
- Organizing files and a directory structure for application deployment
- Using code repositories in deployment environments
- Applying application requirements for resources (for example, memory, cores)
Topic 8 Test applications in development environments
- Features in AWS services that perform application deployment
- Integration testing that uses mock endpoints
- Lambda versions and aliases
- Testing deployed code by using AWS services and tools
- Performing mock integration for APIs and resolving integration dependencies
- Testing applications by using development endpoints (for example, configuring stages in Amazon API Gateway)
- Deploying application stack updates to existing environments (for example, deploying an AWS SAM template to a different staging environment)
Topic 9 Automate deployment testing.
- API Gateway stages
- Branches and actions in the continuous integration and continuous delivery (CI/CD) workflow
- Automated software testing (for example, unit testing, mock testing)
- Creating application test events (for example, JSON payloads for testing Lambda, API Gateway, AWS SAM resources)
- Deploying API resources to various environments
- Creating application environments that use approved versions for integration testing (for example, Lambda aliases, container image tags, AWS Amplify branches, AWS Copilot environments)
- Implementing and deploying infrastructure as code (IaC) templates (for example, AWS SAM templates, AWS CloudFormation templates)
- Managing environments in individual AWS services (for example, differentiating between development, test, and production in API Gateway)
Topic 10 Deploy code by using AWS CI/CD services.
- Git-based version control tools (for example, Git, AWS CodeCommit)
- Manual and automated approvals in AWS CodePipeline
- Access application configurations from AWS AppConfig and Secrets Manager
- CI/CD workflows that use AWS services
- Application deployment that uses AWS services and tools (for example, CloudFormation, AWS Cloud Development Kit [AWS CDK], AWS SAM, AWS CodeArtifact, AWS Copilot, Amplify, Lambda)
- Lambda deployment packaging options
- API Gateway stages and custom domains
- Deployment strategies (for example, canary, blue/green, rolling)
- Updating existing IaC templates (for example, AWS SAM templates, CloudFormation templates)
- Managing application environments by using AWS services
- Deploying an application version by using deployment strategies
- Committing code to a repository to invoke build, test, and deployment actions
- Using orchestrated workflows to deploy code to different environments
- Performing application rollbacks by using existing deployment strategies
- Using labels and branches for version and release management
- Using existing runtime configurations to create dynamic deployments (for example, using staging variables from API Gateway in Lambda functions)
LU4 Troubleshooting and Optimization
Topic 11 Assist in a root cause analysis.
- Logging and monitoring systems
- Languages for log queries (for example, Amazon CloudWatch Logs Insights)
- Data visualizations
- Code analysis tools
- Common HTTP error codes
- Common exceptions generated by SDKs
- Service maps in AWS X-Ray
- Debugging code to identify defects
- Interpreting application metrics, logs, and traces
- Querying logs to find relevant data
- Implementing custom metrics (for example, CloudWatch embedded metric format [EMF])
- Reviewing application health by using dashboards and insights
- Troubleshooting deployment failures by using service output logs
Topic 12: Instrument code for observability.
- Distributed tracing
- Differences between logging, monitoring, and observability
- Structured logging
- Application metrics (for example, custom, embedded, built-in)
- Implementing an effective logging strategy to record application behavior and state
- Implementing code that emits custom metrics
- Adding annotations for tracing services
- Implementing notification alerts for specific actions (for example, notifications about quota limits or deployment completions)
- Implementing tracing by using AWS services and tools
Topic 13: Optimize applications by using AWS services and features.
- Caching
- Concurrency
- Messaging services (for example, Amazon Simple Queue Service [Amazon SQS], Amazon Simple Notification Service [Amazon SNS])
- Profiling application performance
- Determining minimum memory and compute power for an application
- Using subscription filter policies to optimize messaging
- Caching content based on request headers
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
- Software Developer
- DevOps Engineer
- Cloud Developer
- Solutions Architect
- Full Stack Developer
- Backend Developer
- Frontend Developer
- Mobile App Developer
- IT Consultant
- Cloud Solutions Architect
- Systems Administrator
- IT Manager
- Technical Support Engineer
- Infrastructure Engineer
- Data Engineer
Trainers
Agus Salim : I am professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus Salam is AWS cloud practitioner certified. I am also ACLP certied trainer.
Quah Chee Yong : Start-up experience in the field of Data Analytics and Digital Assistant/Chatbot. Blockchain Enthusiast. Lead Trainer (ACLP) in the field of AI/Data Science. General Management experience in Sales, Marketing, Business Development, Technical Services, Shipping/Marine & Supply Chain, HSSE/Risk Management and Support Functions Combination of Commercial, Operational and Technical background in MNCs covering the Asia Pacific region Staff/Stakeholders Management in a virtual matrix organizational setup spanning diverse cultures globally. I have obtained AWS certification.