Developing Serverless Solutions on AWS Course Overview

Developing Serverless Solutions on AWS Course Overview

The Developing Serverless Solutions on AWS course is designed for developers and IT professionals looking to leverage AWS to build and deploy Serverless applications. Through various modules, students will explore best practices for modern serverless application development, delve into Event-driven architectures, and understand the integration of services such as Amazon API Gateway, Amazon EventBridge, AWS Lambda, and Amazon Cognito.

Learners will gain hands-on experience with Serverless deployment frameworks like AWS SAM, and tackle advanced topics like Authentication, Authorization, and Application security. The course provides an in-depth look at Managing application scale and implementing CI/CD pipelines for Serverless architectures. By the end of the course, participants will be equipped with the knowledge to build efficient, secure, and scalable serverless solutions on AWS, utilizing tools and services to maximize their application's potential.

CoursePage_session_icon

Successfully delivered 22 sessions for over 52 professionals

Purchase This Course

2,025

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)

Filter By:

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

Course Prerequisites

To ensure that you can successfully undertake the Developing Serverless Solutions on AWS course, here are the minimum prerequisites:


  • Basic understanding of AWS services, particularly AWS Lambda, Amazon API Gateway, Amazon S3, and Amazon DynamoDB.
  • Familiarity with cloud computing concepts and the core AWS services.
  • Experience with developing in one or more programming languages supported by AWS Lambda (e.g., Node.js, Python, Java, or C#/.NET).
  • Basic knowledge of RESTful APIs and web services.
  • An understanding of the AWS Command Line Interface (CLI) and the AWS Management Console.
  • Knowledge of fundamental coding concepts, such as variables, conditions, loops, and functions.
  • Familiarity with JSON data format and standard HTTP status codes.
  • Some exposure to the concept of Infrastructure as Code (IaC) would be beneficial, though not strictly necessary.

Please note that while these prerequisites are aimed at ensuring participants are adequately prepared for the course material, our instructors are dedicated to helping all students, regardless of their initial skill level, to grasp the course content and achieve their learning goals.


Target Audience for Developing Serverless Solutions on AWS

  1. This AWS serverless solutions course is designed for IT professionals seeking to utilize AWS for modern, serverless application development.


  2. Target Audience and Job Roles:


  • Cloud Developers and Engineers
  • Solutions Architects
  • DevOps Engineers
  • Full Stack Developers interested in serverless architecture
  • IT Project Managers overseeing cloud-based projects
  • Software Engineers transitioning to serverless application development
  • System Integrators working with AWS infrastructure
  • Technical Leads managing serverless application teams
  • Cloud Consultants advising on AWS serverless solutions
  • Application Developers designing event-driven systems
  • Cloud Technical Trainers
  • Software Architects exploring serverless design patterns
  • Innovation Officers seeking to modernize application infrastructure


Learning Objectives - What you will Learn in this Developing Serverless Solutions on AWS?

Introduction to Learning Outcomes:

This course empowers participants to design, develop, and deploy modern serverless applications using AWS services, emphasizing event-driven architecture, security, and scalability.

Learning Objectives and Outcomes:

  • Understand the principles and best practices of building serverless applications on AWS.
  • Design and implement API-driven applications using Amazon API Gateway and AWS Lambda.
  • Differentiate between authentication and authorization, implementing user authentication with Amazon Cognito.
  • Utilize serverless deployment frameworks such as AWS CloudFormation, AWS CDK, Amplify, and AWS SAM.
  • Integrate and manage asynchronous communication in applications using Amazon EventBridge and Amazon SNS.
  • Employ Amazon SQS and Amazon Kinesis Data Streams to enable event-driven workflows with polling event sources.
  • Apply best practices for writing efficient AWS Lambda functions, including error handling and partial failure management.
  • Orchestrate complex workflows using AWS Step Functions and distinguish between Standard and Express Workflows.
  • Implement observability and monitoring strategies using Amazon CloudWatch, AWS X-Ray, and related AWS services.
  • Enforce security best practices in serverless applications, ensuring data protection and applying security at all layers.
  • Manage application scaling effectively, understanding the nuances of Lambda concurrency and event source scaling.
  • Automate deployment pipelines for serverless applications, incorporating continuous integration and continuous deployment (CI/CD) practices.

Technical Topic Explanation

Serverless applications

Serverless applications refer to a way of building and running applications without managing servers. These applications run on cloud platforms like AWS, which manage the underlying infrastructure. This means developers can focus on writing code and deploying features without worrying about server maintenance. AWS serverless solutions reduce operational burdens, offer scalability, and can be cost-effective as you only pay for the resources your application consumes. These benefits make developing serverless solutions on AWS attractive for efficiently delivering applications that can dynamically scale based on demand.

Event-driven architectures

Event-driven architectures are a design pattern where applications respond to external or internal events such as user actions, sensor outputs, or message communications. In this system, components perform actions triggered by events instead of following a strict sequential order. AWS serverless solutions are ideal for event-driven architectures as they manage the computing resources needed, allowing developers to focus on code. Developing serverless solutions on AWS enables efficient response handling and resource use, with scalability and cost-effectiveness, such as only paying for the resources used during the event handling, not in idle times.

Amazon API Gateway

Amazon API Gateway is a service that enables developers to create, publish, and manage secure APIs. It acts as a front door to applications, allowing communication between an AWS environment and external apps. This service handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization, and access control, monitoring, and API version management. Amazon API Gateway is ideal for developing serverless solutions on AWS, as it seamlessly integrates with AWS Lambda, enabling scalable, serverless architectures without needing to manage infrastructure.

Amazon EventBridge

Amazon EventBridge is a serverless event bus service that makes it easy to connect applications using data from a variety of sources. It facilitates the building and running of applications that integrate services like AWS Lambda, S3, and DynamoDB, as well as SaaS applications and other AWS services. EventBridge helps in managing, processing, and delivering events across systems, enabling developers to create scalable and maintainable architectures efficiently. By leveraging this AWS serverless solution, professionals can focus more on developing serverless solutions on AWS without worrying about infrastructure management, thus enhancing application responsiveness and performance.

AWS Lambda

AWS Lambda is a part of Amazon Web Services that lets you run code without managing servers, providing a serverless solution. It automatically manages the computing resources, scaling up or down based on the demand, making it efficient for developing serverless solutions on AWS. This allows you to focus on writing code for specific tasks like handling web requests or processing data, without worrying about underlying infrastructure. AWS Lambda is cost-effective, as you only pay for the compute time you consume, making it ideal for applications with variable usage patterns.

Amazon Cognito

Amazon Cognito is a service from AWS that helps developers create secure and scalable user authentication and authorization systems for their applications. It provides a way to easily manage and sign up users without building backend infrastructure from scratch. Amazon Cognito supports social identity providers like Google, Facebook, and Amazon, along with enterprise identity providers via SAML 2.0. This service is part of AWS serverless solutions, enabling developers to focus on building their application’s functionality rather than managing servers. It integrates seamlessly within developing serverless solutions on AWS, enhancing user experience while maintaining security.

Serverless deployment frameworks

Serverless deployment frameworks allow developers to build and run applications without managing servers. Essentially, these frameworks automatically handle the backend infrastructure, scaling up or down as needed. AWS serverless solutions, such as AWS Lambda, facilitate developing serverless solutions on AWS by executing code in response to events and automatically managing the underlying compute resources. This model removes the need to worry about server operations, allowing developers to focus solely on writing code that serves their business requirements. This approach can lead to quicker deployments, reduced operational costs, and more efficient scaling.

Authentication

Authentication is a security process to verify the identity of a user or device trying to access a system. It involves checking if the provided credentials, such as a username and password, match the records in a system's database. Once confirmed, the user is granted access to the requested resources. Authentication is a crucial step in protecting sensitive data and ensuring that access is allowed only to legitimate users. In serverless environments like AWS, it helps manage and secure access efficiently, without the need for dedicated server infrastructure.

Authorization

Authorization in technology refers to the process of granting or denying specific permissions or rights to a user, program, or process. This is fundamental in ensuring secure access to resources within a system, such as files, data, and applications, based on predefined policies and rules. It is a crucial component of security frameworks across various platforms, including developing serverless solutions on AWS. In serverless architectures, such as AWS serverless solutions, managing authorization effectively allows developers to ensure that only the right entities can trigger or manipulate specific functions, helping to maintain the system's integrity and confidentiality.

Application security

Application security involves measures taken to prevent threats and vulnerabilities in software applications. This practice aims to build secure applications by integrating protective features and tools during development phases. Key approaches include testing, updating, and applying security patches. These preventive measures ensure that applications are resilient against attacks, protecting both the data and business operations. This is crucial in today's digital world where the software interfaces with multiple services, including cloud-based serverless architectures like AWS, which can be targets for security breaches if not properly safeguarded.

Managing application scale

Managing application scale involves adjusting the capacity of an application to meet changes in its demand. In cloud computing, particularly with AWS serverless solutions, this process is simplified as the infrastructure automatically scales up or down based on the application's requirements. Serverless computing is a cloud-computing model where AWS manages the servers and runs your applications seamlessly, making it ideal for businesses to handle varying loads without dealing with the complexities of server operations. This ability to scale effectively ensures performance stability and optimal resource usage, reducing costs and improving user experience.

CI/CD pipelines

CI/CD pipelines are a series of steps that software developers use to deliver code changes more reliably and frequently. CI (Continuous Integration) focuses on blending source code updates from all developers on a team into a shared repository frequently, where automatic tests can be run. CD (Continuous Deployment) extends this by automatically releasing the validated code into a production environment, ensuring the application is updated seamlessly. These practices are fundamental in developing serverless solutions on AWS, where applications are built and run without managing servers, enabling quicker changes and efficient deployment processes.

Serverless architectures

Serverless architectures remove the need to manage servers for software applications. Instead, developers can build and run applications without worrying about the underlying infrastructure. AWS Serverless solutions provide a platform where the cloud handles server management and scaling dynamically. This allows developers to focus primarily on code and innovation. Developing serverless solutions on AWS reduces cost as you pay only for the computing time used. This model enhances productivity and efficiency, making it ideal for businesses looking to optimize operations and reduce overhead related to physical servers and data center maintenance.

Target Audience for Developing Serverless Solutions on AWS

  1. This AWS serverless solutions course is designed for IT professionals seeking to utilize AWS for modern, serverless application development.


  2. Target Audience and Job Roles:


  • Cloud Developers and Engineers
  • Solutions Architects
  • DevOps Engineers
  • Full Stack Developers interested in serverless architecture
  • IT Project Managers overseeing cloud-based projects
  • Software Engineers transitioning to serverless application development
  • System Integrators working with AWS infrastructure
  • Technical Leads managing serverless application teams
  • Cloud Consultants advising on AWS serverless solutions
  • Application Developers designing event-driven systems
  • Cloud Technical Trainers
  • Software Architects exploring serverless design patterns
  • Innovation Officers seeking to modernize application infrastructure


Learning Objectives - What you will Learn in this Developing Serverless Solutions on AWS?

Introduction to Learning Outcomes:

This course empowers participants to design, develop, and deploy modern serverless applications using AWS services, emphasizing event-driven architecture, security, and scalability.

Learning Objectives and Outcomes:

  • Understand the principles and best practices of building serverless applications on AWS.
  • Design and implement API-driven applications using Amazon API Gateway and AWS Lambda.
  • Differentiate between authentication and authorization, implementing user authentication with Amazon Cognito.
  • Utilize serverless deployment frameworks such as AWS CloudFormation, AWS CDK, Amplify, and AWS SAM.
  • Integrate and manage asynchronous communication in applications using Amazon EventBridge and Amazon SNS.
  • Employ Amazon SQS and Amazon Kinesis Data Streams to enable event-driven workflows with polling event sources.
  • Apply best practices for writing efficient AWS Lambda functions, including error handling and partial failure management.
  • Orchestrate complex workflows using AWS Step Functions and distinguish between Standard and Express Workflows.
  • Implement observability and monitoring strategies using Amazon CloudWatch, AWS X-Ray, and related AWS services.
  • Enforce security best practices in serverless applications, ensuring data protection and applying security at all layers.
  • Manage application scaling effectively, understanding the nuances of Lambda concurrency and event source scaling.
  • Automate deployment pipelines for serverless applications, incorporating continuous integration and continuous deployment (CI/CD) practices.