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AWS Certified Developer Associate Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

AWS Certified Developer Associate Training Course Overview

Unlock your potential with the AWS Certified Developer Associate training from Multisoft Systems. This course offers deep insights into AWS services, hands-on experience, and comprehensive preparation for the certification exam to boost your career in cloud development.

The AWS Certified Developer Associate training by Multisoft Systems is an immersive course designed for developers seeking to deepen their understanding of the Amazon Web Services (AWS) platform. This course meticulously covers the key concepts, services, and tools that developers need to master to build and manage applications on AWS. Participants will learn about AWS core services such as EC2, S3, DynamoDB, and Lambda, among others, with a strong emphasis on API usage, SDKs, and command line tool mastery. In addition to technical skills, the course delves into best practices for security and architecture that align with AWS's well-architected framework, ensuring applications are scalable, secure, and efficient. Practical, hands-on labs provide participants with the opportunity to apply their learning in real-world scenarios, enhancing their problem-solving and deployment capabilities.

Designed to prepare attendees for the AWS Certified Developer - Associate exam, this course also focuses on strategies for tackling exam questions, ensuring participants are well-prepared to achieve certification. With experienced instructors and a comprehensive curriculum, Multisoft Systems' AWS Developer training is an invaluable resource for developers aiming to leverage AWS technologies in their projects and careers.

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AWS Certified Developer Associate Training Course curriculum

Curriculum Designed by Experts

Download Curriculum DOWNLOAD CURRICULUM

Unlock your potential with the AWS Certified Developer Associate training from Multisoft Systems. This course offers deep insights into AWS services, hands-on experience, and comprehensive preparation for the certification exam to boost your career in cloud development.

The AWS Certified Developer Associate training by Multisoft Systems is an immersive course designed for developers seeking to deepen their understanding of the Amazon Web Services (AWS) platform. This course meticulously covers the key concepts, services, and tools that developers need to master to build and manage applications on AWS. Participants will learn about AWS core services such as EC2, S3, DynamoDB, and Lambda, among others, with a strong emphasis on API usage, SDKs, and command line tool mastery. In addition to technical skills, the course delves into best practices for security and architecture that align with AWS's well-architected framework, ensuring applications are scalable, secure, and efficient. Practical, hands-on labs provide participants with the opportunity to apply their learning in real-world scenarios, enhancing their problem-solving and deployment capabilities.

Designed to prepare attendees for the AWS Certified Developer - Associate exam, this course also focuses on strategies for tackling exam questions, ensuring participants are well-prepared to achieve certification. With experienced instructors and a comprehensive curriculum, Multisoft Systems' AWS Developer training is an invaluable resource for developers aiming to leverage AWS technologies in their projects and careers.

  • Gain a thorough understanding of essential AWS services including EC2, S3, DynamoDB, Lambda, and more.
  • Learn to integrate AWS services into applications using AWS SDKs for various programming languages and APIs.
  • Understand and implement security measures and best practices to protect applications and data on AWS.
  • Learn to design scalable, reliable, and efficient systems on AWS according to the AWS well-architected framework.
  • Apply knowledge through hands-on labs and real-world scenarios to build, deploy, and debug applications on AWS.

Course Prerequisite

  • Familiarity with at least one high-level programming language (e.g., Java, Python, C#).
  • Basic understanding of AWS services such as EC2, S3, and IAM is beneficial.

Course Target Audience

  • Software Developers
  • Cloud Engineers
  • System Administrators
  • IT Professionals
  • Technical Project Managers
  • Recent Graduates

Course Content

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

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

3: Use data stores in application development Knowledge of:

  • 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

Download Curriculum DOWNLOAD CURRICULUM

1. 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

2. Identity and access management

  • 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

3: 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

Download Curriculum DOWNLOAD CURRICULUM

1: 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

2: Test applications in development environments

  • Features in AWS services that perform application deployment
  • Integration testing that uses mock endpoints
  • Lambda versions and aliases

3: 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)

4: 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)

Download Curriculum DOWNLOAD CURRICULUM

1: 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

2: Instrument code for observability

  • Distributed tracing
  • Differences between logging, monitoring, and observability
  • Structured logging
  • Application metrics (for example, custom, embedded, built-in)

3: 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])

Download Curriculum DOWNLOAD CURRICULUM

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

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

3: Use data stores in application development Knowledge of:

  • 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

Download Curriculum DOWNLOAD CURRICULUM

1. 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

2. Identity and access management

  • 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

3: 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

Download Curriculum DOWNLOAD CURRICULUM

1: 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

2: Test applications in development environments

  • Features in AWS services that perform application deployment
  • Integration testing that uses mock endpoints
  • Lambda versions and aliases

3: 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)

4: 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)

Download Curriculum DOWNLOAD CURRICULUM

1: 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

2: Instrument code for observability

  • Distributed tracing
  • Differences between logging, monitoring, and observability
  • Structured logging
  • Application metrics (for example, custom, embedded, built-in)

3: 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])

Download Curriculum DOWNLOAD CURRICULUM
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AWS Certified Developer Associate Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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AWS Certified Developer Associate Corporate Training

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Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

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  • Course ID & Course Name
  • Certificate with Date of Issuance
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AWS Certified Developer Associate Training FAQ's

While prior experience is beneficial, it is not mandatory. However, familiarity with basic programming and cloud concepts is recommended.

Yes, the course includes numerous hands-on labs and practical exercises that allow participants to apply what they've learned in real-world scenarios.

Participants will receive course slides, practice exercises, and additional reading material to support their learning and exam preparation.

Yes, Multisoft Systems offers online training option to accommodate learners from different locations.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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