Developing on AWS Training

Learning Objectives: In this module, participants will grasp the fundamental concepts of Amazon S3, gaining a solid understanding of its core functionalities. They will explore various options for securing data within Amazon S3, ensuring a comprehensive knowledge of data protection mechanisms. Additionally, the module will cover essential SDK dependencies for code development, enabling participants to seamlessly integrate Amazon S3 into their applications. Practical insights will be provided on connecting to the Amazon S3 service, and participants will delve into the intricacies of request and response objects, enhancing their proficiency in utilizing Amazon S3 effectively.

Topics:

• 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

Learning Objectives: Participants will master key bucket and object operations in Amazon S3, gaining proficiency in handling both multiple and large objects. The focus extends to creating and configuring an Amazon S3 bucket for hosting static websites, along with the implementation of temporary access controls. The module further emphasizes demonstrating Amazon S3 operations through practical applications of SDKs. Lab 2 reinforces these concepts by guiding participants to interact programmatically with Amazon S3 using AWS SDKs and the AWS CLI. Through hands-on exercises, participants will create, upload, download, process, and configure buckets, ensuring a comprehensive understanding of the real-world application of Amazon S3 functionalities.

Topics:

• 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.

Learning Objectives: In this module, participants will delve into the fundamental aspects of DynamoDB, comprehending its key components. The focus extends to practical insights on connecting to DynamoDB and constructing request objects for effective interaction. Participants will gain proficiency in deciphering response objects, ensuring a thorough understanding of data retrieval. Additionally, the module covers the identification and resolution of common troubleshooting exceptions, equipping participants with essential skills for managing DynamoDB effectively in real-world scenarios.

Topics:

• 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

Learning Objectives: In this module, participants will advance their DynamoDB proficiency by developing programs that interact with the service using AWS SDKs. The focus extends to performing CRUD operations, providing hands-on experience in accessing tables, indexes, and data. The module highlights developer best practices when working with DynamoDB and explores caching options for optimizing performance. Practical insights are offered on performing DynamoDB operations using SDKs. Lab 3 reinforces these concepts through interactive exercises, guiding participants to interact programmatically with DynamoDB using low-level, document, and high-level APIs. Participants will master item retrieval, table loading, item searching, updates, and data access using PartiQL and object-persistence models.

Topics:

• 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

Learning Objectives: In this module, participants will focus on developing proficiency in AWS Lambda functions. The learning objectives encompass creating Lambda functions using SDKs, configuring triggers, and establishing necessary permissions. Participants will gain hands-on experience in testing, deploying, and monitoring Lambda functions. Lab 4 complements these objectives, guiding participants through the creation of AWS Lambda functions and their programmatic interaction using AWS SDKs and CLI. The lab includes configuring Lambda functions with environment variables, integration with other services, and the generation of pre-signed URLs for Amazon S3. Furthermore, participants will deploy Lambda functions through their Integrated Development Environments (IDEs), testing their functionality via the AWS Console and CLI.

Topics:

• 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

Learning Objectives: In this module, participants will gain a comprehensive understanding of Amazon API Gateway by exploring its key components. Learning objectives include developing API Gateway resources that seamlessly integrate with AWS services, configuring request and response calls for application endpoints, and testing and deploying application API endpoints. The module emphasizes hands-on experience in creating API Gateway resources for effective interaction with application APIs. Lab 5 reinforces these concepts through practical exercises, guiding participants to create RESTful API Gateway resources, configure CORS for applications, integrate API methods with AWS Lambda functions, and deploy the API Gateway to a stage. The lab ensures participants are proficient in configuring mapping templates, creating request models, and validating results using the API endpoint.

Topics:

• 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

Learning Objectives: In this module, participants will explore the challenges associated with traditional architectures and gain an understanding of the transformative microservices architecture, along with its benefits. Learning objectives include explaining different approaches to designing microservice applications and detailing the steps involved in decoupling monolithic applications. The module places a strong emphasis on practical application, demonstrating the orchestration of Lambda Functions using AWS Step Functions. Participants will leave with a solid comprehension of the shift from traditional to microservices architectures and the practical skills needed to implement this transformative approach.

Topics:

• 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

Learning Objectives: In this module, participants will delve into the evolution of security protocols, with a specific focus on the authentication process using Amazon Cognito. Learning objectives include mastering the management of user access and the authorization of serverless APIs, along with observing best practices for implementing Amazon Cognito. The module emphasizes practical application by demonstrating the integration of Amazon Cognito and reviewing JSON Web Tokens (JWT). Lab 6, the Capstone, culminates in completing the application build. Participants will create a Userpool and an Application Client, add users, and confirm sign-in capabilities using the Amazon Cognito CLI. They will configure API Gateway methods to utilize Amazon Cognito as an authorizer, verify JWT authentication tokens, and swiftly develop API Gateway resources using a Swagger importing strategy. The lab ensures participants are adept at setting up web application frontends, incorporating Amazon Cognito and API Gateway configurations, and verifying the overall functionality of the application.

Topics:

• 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

Learning Objectives: In this module, participants will first identify and comprehend risks associated with traditional software development practices, paving the way for a comprehensive understanding of the transformative DevOps methodology. Learning objectives include configuring an AWS SAM template to effectively deploy a serverless application and delving into various application deployment strategies. The module emphasizes practical application, guiding participants through the hands-on demonstration of deploying a serverless application using AWS SAM. Participants will leave with a clear grasp of DevOps principles and the practical skills needed to deploy serverless applications efficiently.

Topics:

• 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

Learning Objectives: In this module, participants will gain a nuanced understanding of monitoring versus observability and its crucial role in modern development. Learning objectives encompass evaluating the necessity of observability, understanding key components, and exploring CloudWatch's role in configuring observability. The module further demonstrates using CloudWatch Application Insights to monitor applications and utilizing X-Ray for effective application debugging. Lab 7, "Observe the Application Using AWS X-Ray," reinforces these concepts through hands-on exercises. Participants will instrument their application code for AWS X-Ray capabilities, enable log generation in deployment packages, and deploy applications using AWS SAM templates. The lab guides participants in creating AWS X-Ray service maps to observe end-to-end processing behavior and analyzing and debugging application issues through AWS X-Ray traces and annotations. Participants will leave with practical skills to enhance observability in their applications.

Topics:

• 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

Learning Objectives: This module will comprise of a course recap, providing further insights into the goals of the training. The discussion will extend to various AWS training courses available, covering a spectrum of topics and certifications. Participants will gain an understanding of the certification paths offered and the significance of AWS certifications in validating their expertise. The module will conclude with a feedback session, allowing participants to provide valuable input for continuous improvement and ensuring the training meets their expectations and needs.

Topics:

• Course recap
• AWS training courses
• Certifications
• Course feedback