Developing on AWS Training

Build cloud-based applications that are secure and scalable

  • Build cloud applications using AWS SDKs, AWS CLI, and IDEs 
  • Configure AWS Identity & Access Management (IAM)  
  • Clear the exam and become AWS Certified Developers Associate  
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Build Secure and Scalable Cloud Apps

Build cloud-based applications using AWS SDKs and learn to leverage AWS services. The Developing on AWS course will cover a range of topics like access, permissions, AWS Could9, Amazon S3, storage, databases, third party integrations and more. The program includes 3 days of live and interactive trainer led sessions which stress on skilling the participants.

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  • 3 days of live interactive trainer led sessions 

  • Learn from AWS certified professionals 

  • AWS Certified Developer - Associate exam prep 

  • Build and deploy cloud-based applications 

  • Perform CRUD operations on Amazon S3 

  • Leverage AWS SDKs and AWS CLI 

Accredited by

The KnowledgeHut Edge

Trainer-Led Sessions

Interact and engage in live classes with AWS certified instructors with industry experience. 

AWS Approved Curriculum

Empower yourself and stay relevant with the latest courseware updated by AWS according to latest practices. 

Case Studies

Get practical case studies based on real-world experiences. Understand concepts through relatable examples.  

Industry Experts

Learn from the best in the industry. Work with coaches who are experienced professionals in their fields. 

Ready to Apply Skills

Learn concepts and practices in a manner that can be readily applied in real-world situations. 

Learning Review

Get detailed reviews and feedback on your learning and understanding from AWS trainers. 


Prerequisites for Developing on AWS

  • Attended AWS Technical Essentials training  
  • Working knowledge of AWS core services

For more details, please refer to the FAQs  

Who Should Attend the Developing on AWS Course

Software developers

Solution architects

IT professionals using AWS Services

Developing on AWS Schedules

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What You Will Learn

Access Control

Use AWS Identity and Access Management (IAM) permissions to support a development environment. 

Programming Patterns

Learn to use multiple programming patterns in your applications to access AWS services. 

CRUD Operations

Use AWS SDKs to perform CRUD operations on Amazon S3 and Amazon DynamoDB resources. 

Service Integration

Create AWS Lambda functions with other service integrations for your web applications. 


Learn what are the benefits of microservices architectures and serverless applications to design. 

Build Cloud Apps

Build a cloud application using AWS Software Development Kits (AWS SDKs), AWS CLI, and IDEs. 

Transform Your Workforce

Leverage AWS to Build Solutions

Get your team to use AWS tools and services to develop cloud-based applications and solutions. Learn to deploy, manage, and operate scalable, and reliable applications on AWS.

  • Leverage Immersive Learning 
  • Develop secure and scalable cloud apps 
  • Learn key concepts and best practises in AWS 
  • Build microservices architectures and serverless applications   

500+ Clients

Developing on AWS Curriculum


  • Logistics 
  • Student resources 
  • Agenda 
  • Introductions 


  • Discuss the architecture of the application you are going to build during this course 
  • Explore the AWS services needed to build your web application 
  • Discover how to store, manage, and host your web application 


  • Describe how to access AWS services programmatically 
  • List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI 
  • Explain the value of AWS Cloud9 


  • Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment 
  • Demonstrate how to test AWS IAM permissions  
  • Configure your IDEs and SDKs to support a development environment 
  • Demonstrate accessing AWS services using SDKs and AWS Cloud9 

Lab 1: Configure the Developer Environment 

  • Connect to a developer environment 
  • Verify that the IDE and the AWS CLI are installed and configured to use the application profile 
  • Verify that the necessary permissions have been granted to run AWS CLI commands 
  • Assign an AWS IAM policy to a role to delete an Amazon S3 bucket 


  • Describe the basic concepts of Amazon S3 
  • List the options for securing data using Amazon S3 
  • Define SDK dependencies for your code 
  • Explain how to connect to the Amazon S3 service 
  • Describe request and response objects 


  • Perform key bucket and object operations 
  • Explain how to handle multiple and large objects 
  • Create and configure an Amazon S3 bucket to host a static website 
  • Grant temporary access to your objects 
  • Demonstrate performing Amazon S3 operations using SDKs 

Lab 2: Develop Solutions Using Amazon S3 

  • Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI  
  • Create a bucket using waiters and verify service exceptions codes  
  • Build the needed requests to upload an Amazon S3 object with metadata attached 
  • Build requests to download an object from the bucket, process data, and upload the object back to the bucket  
  • Configure a bucket to host the website and sync the source files using the AWS CLI 
  • Add IAM bucket policies to access the S3 website. 


  • Describe the key components of DynamoDB 
  • Explain how to connect to DynamoDB 
  • Describe how to build a request object 
  • Explain how to read a response object 
  • List the most common troubleshooting exceptions 


  • Develop programs to interact with DynamoDB using AWS SDKs 
  • Perform CRUD operations to access tables, indexes, and data 
  • Describe developer best practices when accessing DynamoDB  
  • Review caching options for DynamoDB to improve performance 
  • Perform DynamoDB operations using SDK 

Lab 3: Develop Solutions Using Amazon DynamoDB 

  • Interact with Amazon DynamoDB programmatically using low-level, document, and high-level APIs in your programs 
  • Retrieve items from a table using key attributes, filters, expressions, and paginations  
  • Load a table by reading JSON objects from a file  
  • Search items from a table based on key attributes, filters, expressions, and paginations 
  • Update items by adding new attributes and changing data conditionally 
  • Access DynamoDB data using PartiQL and object-persistence models where applicable 


  • Develop a Lambda function using SDKs 
  • Configure triggers and permissions for Lambda functions 
  • Test, deploy, and monitor Lambda functions 

Lab 4: Develop Solutions Using AWS Lambda Functions 

  • Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI  
  • Configure AWS Lambda functions to use the environment variables and to integrate with other services 
  • Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects 
  • Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed 
  • Invoke AWS Lambda functions using the AWS Console and AWS CLI 


  • Describe the key components of API Gateway 
  • Develop API Gateway resources to integrate with AWS services 
  • Configure API request and response calls for your application endpoints 
  • Test API resources and deploy your application API endpoint 
  • Demonstrate creating API Gateway resources to interact with your application APIs 

Lab 5: Develop Solutions Using Amazon API Gateway 

  • Create RESTful API Gateway resources and configure CORS for your application 
  • Integrate API methods with AWS Lambda functions to process application data 
  • Configure mapping templates to transform the pass-through data during method integration 
  • Create a request model for API methods to ensure that the pass-through data format complies with application rules 
  • Deploy the API Gateway to a stage and validate the results using the API endpoint 


  • Describe the challenges with traditional architectures 
  • Describe the microservice architecture and benefits 
  • Explain various approaches for designing microservice applications 
  • Explain steps involved in decoupling monolithic applications 
  • Demonstrate the orchestration of Lambda Functions using AWS Step Functions 


  • Analyze the evolution of security protocols 
  • Explore the authentication process using Amazon Cognito 
  • Manage user access and authorize serverless APIs 
  • Observe best practices for implementing Amazon Cognito 
  • Demonstrate the integration of Amazon Cognito and review JWT tokens 

Lab 6: Capstone – Complete the Application Build 

  • Create a Userpool and an Application Client for your web application using 
  • Add new users and confirm their ability to sign-in using the Amazon Cognito CLI 
  • Configure API Gateway methods to use Amazon Cognito as an authorizer 
  • Verify JWT authentication tokens are generated during API Gateway calls 
  • Develop API Gateway resources rapidly using a Swagger importing strategy 
  • Set up your web application frontend to use Amazon Cognito and API Gateway configurations and verify the entire application functionality 


  • Identify risks associated with traditional software development practices 
  • Understand DevOps methodology 
  • Configure an AWS SAM template to deploy a serverless application 
  • Describe various application deployment strategies 
  • Demonstrate deploying a serverless application using AWS SAM 


  • Differentiate between monitoring and observability 
  • Evaluate why observability is necessary in modern development and key components 
  • Understand CloudWatch’s part in configuring the observability 
  • Demonstrate using CloudWatch Application Insights to monitor applications  
  • Demonstrate using X-Ray to debug your applications  

Lab 7: Observe the Application Using AWS X-Ray 

  • Instrument your application code to use AWS X-Ray capabilities 
  • Enable your application deployment package to generate logs 
  • Understand the key components of an AWS SAM template and deploy your application 
  • Create AWS X-Ray service maps to observe end-to-end processing behavior of your application 
  • Analyze and debug application issues using AWS X-Ray traces and annotations 


  • Course overview 
  • AWS training courses 
  • Certifications 
  • Course feedback 

Frequently Asked Questions


This course is valuable for developers who want to use AWS services to develop secure and scalable cloud applications. You will build a sample application during this course and test all the AWS core services. 

Get acquainted with a range of tools like AWS SDK and AWS CLI. Learn how to use AWS services to build web solutions.

This is an intermediate level training course that teaches you to use AWS services and tools. It will help you to:  

  • Build cloud application using AWS SDKs  
  • Command Line Interface (AWS CLI), and IDEs. 
  • Use AWS Identity and Access Management (IAM) 
  • Learn multiple programming patterns 
  • Perform CRUD operations on Amazon Simple  
  • Learn Storage Services (Amazon S3) and Amazon DynamoDB resources 
  • Build AWS Lambda functions with other service integrations 
  • Learn microservices architectures 
  • Develop API Gateway components 
  • Learn to use Amazon Cognito 
  • Use AWS Serverless Application Model (AWS SAM) 
  • Monitor application build using Amazon X-Ray 

By the end of this course, you will learn to:  

  • Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs  
  • Configure AWS Identity and Access Management (IAM) permissions to support a development environment 
  • Use multiple programming patterns in your applications to access AWS services 
  • Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources 

To be eligible for this course, the candidate should have:  

  • Attended AWS Technical Essentials classroom training or have equivalent experience  
  • Working knowledge of AWS core services 
  • Programming experience in any one of the following languages:
    • Python 
    • .NET 
    • Java 

To attend the AWS Certified Developer - Associate exam the candidate should have:  

  • In-depth knowledge of at least one high-level programming language 
  • Understanding of core AWS services, uses of the services, and basic AWS architecture best practices, including the AWS Shared Responsibility Model, application lifecycle management, and the use of containers in the development process 
  • Proficiency in developing, deploying, and debugging cloud-based applications using AWS and writing code for serverless applications 
  • Ability to identify key features of AWS services and use the AWS service APIs, AWS CLI, and SDKs to write applications 
  • Ability to apply a basic understanding of cloud-native applications to write code 
  • Ability to author, maintain, and debug code modules on AWS 


Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our instructors are approved by AWS to lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning.  

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Power platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience. 

Internet Connectivity (2Mbps Link) and Laptop/PC (Windows/Mac) with 4GB RAM. 

No, you do not need to record the sessions, the sessions will be auto recorded on our LMS, you will be able to refer to them. 

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch. 


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