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Martyn Kilbryde

In this course, *AWS Lambda Deep Dive*, you’ll learn to get the most out of serverless compute on AWS. First, you’ll explore the fundamentals of the AWS Lambda service, including how it works, use cases, security, and configuration. Next, you’ll discover how to trigger and integrate Lambda with other AWS services, including API Gateway, Amazon SQS, and Amazon RDS. You’ll then learn how scaling works, how to optimize and monitor your functions, and how to troubleshoot issues and utilize metrics. Finally, you’ll learn more advanced topics such as Lambda architecture, networking, patterns ,and more. When you’re finished with this course, you’ll have the skills and knowledge of AWS Lambda needed to take on real-world serverless projects and know how to use Lambda correctly.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines relevant use cases in serverless computing
Helps learners develop and understand professional lambda applications
Taught by Martyn Kilbryde, who is an expert in the field
Teaches several advanced architectural concepts and related technical practices
Suitable for beginners looking to build a foundation in lambda applications

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AWS Lambda Deep Dive with these activities:
Review Networking Concepts
Review the basics of networking, including IP addresses, subnetting, and network protocols.
Browse courses on Networking Concepts
Show steps
  • Read through a networking tutorial or textbook.
  • Complete a few practice exercises on subnetting and IP addressing.
  • Set up a simple home network with a router and a few devices.
Build a Simple Lambda Function
Follow a guided tutorial to create a simple Lambda function that responds to HTTP requests.
Browse courses on Lambda Functions
Show steps
  • Find a tutorial on building a Lambda function.
  • Follow the steps in the tutorial to create the function.
  • Test the function by invoking it with a sample event.
Troubleshoot Lambda Functions
Practice troubleshooting common issues that can occur with Lambda functions.
Browse courses on Lambda Functions
Show steps
  • Read documentation on common Lambda function errors.
  • Create a few test cases that simulate common errors.
  • Debug the test cases and fix the errors.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Serverless Application with Lambda
Design and build a serverless application that uses Lambda functions to process data and respond to events.
Browse courses on Serverless Applications
Show steps
  • Define the requirements for the application.
  • Design the architecture of the application.
  • Create the Lambda functions for the application.
  • Deploy the application to the cloud.
Read 'Serverless Architectures on AWS'
Gain a deeper understanding of serverless architectures and how to use Lambda functions effectively.
Show steps
  • Read the book, taking notes on key concepts.
  • Discuss the book with other students or colleagues.
Mentor a Junior Developer on Lambda Functions
Share your knowledge and experience with a junior developer who is new to Lambda functions.
Browse courses on Mentoring
Show steps
  • Find a junior developer who is interested in learning about Lambda functions.
  • Provide guidance and support to the developer as they learn.

Career center

Learners who complete AWS Lambda Deep Dive will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. They work with clients to understand their business needs and then design a cloud solution that meets those needs. Cloud Architects must have a deep understanding of cloud computing technologies, including AWS Lambda. This course can help Cloud Architects learn how to use AWS Lambda to build serverless applications.
Cloud Engineer
Cloud Engineers build and maintain cloud computing systems. They work with Cloud Architects to design and implement cloud solutions. Cloud Engineers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Cloud Engineers learn how to use AWS Lambda to build serverless applications.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They help to ensure that applications are built and deployed quickly and efficiently. DevOps Engineers must have a deep understanding of cloud computing technologies, including AWS Lambda. This course can help DevOps Engineers learn how to use AWS Lambda to build serverless applications.
Software Engineer - Backend
Backend Software Engineers design and build the back-end systems for applications. They work with Frontend Developers to create user interfaces and with Cloud Architects to design and implement cloud solutions. Backend Software Engineers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Backend Software Engineers learn how to use AWS Lambda to build serverless applications.
Data Engineer
Data Engineers design and build data pipelines. They work with Data Scientists to develop models and with Cloud Architects to design and implement cloud solutions. Data Engineers must have a deep understanding of cloud computing technologies, including AWS Lambda. This course can help Data Engineers learn how to use AWS Lambda to build serverless applications.
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. They work with Data Scientists to develop models and with Cloud Architects to design and implement cloud solutions. Machine Learning Engineers must have a deep understanding of cloud computing technologies, including AWS Lambda. This course can help Machine Learning Engineers learn how to use AWS Lambda to build serverless applications.
Frontend Developer
Frontend Developers design and build the user interfaces for applications. They work with Backend Software Engineers to develop the back-end systems for applications. Frontend Developers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Frontend Developers learn how to use AWS Lambda to build serverless applications.
Data Scientist
Data Scientists develop models to predict future outcomes. They work with Data Engineers to design and build data pipelines and with Cloud Architects to design and implement cloud solutions. Data Scientists must have a deep understanding of cloud computing technologies, including AWS Lambda. This course can help Data Scientists learn how to use AWS Lambda to build serverless applications.
Systems Administrator
Systems Administrators manage and maintain computer systems. They work with Cloud Architects to design and implement cloud solutions. Systems Administrators must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Systems Administrators learn how to use AWS Lambda to build serverless applications.
Security Engineer
Security Engineers design and implement security solutions. They work with Cloud Architects to design and implement cloud solutions. Security Engineers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Security Engineers learn how to use AWS Lambda to build serverless applications.
Network Engineer
Network Engineers design and build computer networks. They work with Cloud Architects to design and implement cloud solutions. Network Engineers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Network Engineers learn how to use AWS Lambda to build serverless applications.
Quality Assurance Engineer
Quality Assurance Engineers test and evaluate software applications. They work with Software Engineers to develop and test applications. Quality Assurance Engineers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course can help Quality Assurance Engineers learn how to use AWS Lambda to build serverless applications.
Technical Writer
Technical Writers document software and hardware products. They work with Software Engineers to develop and test applications. Technical Writers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course may help Technical Writers learn how to use AWS Lambda to build serverless applications.
Product Manager
Product Managers manage and develop software products. They work with Software Engineers to develop and test applications. Product Managers must have a strong understanding of cloud computing technologies, including AWS Lambda. This course may help Product Managers learn how to use AWS Lambda to build serverless applications.
Database Administrator
Database Administrators manage and maintain databases. They work with Software Engineers to develop and deploy applications. Database Administrators must have a strong understanding of cloud computing technologies, including AWS Lambda. This course may help Database Administrators learn how to use AWS Lambda to build serverless applications.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AWS Lambda Deep Dive.
Collection of recipes for solving common problems when working with AWS Lambda. It covers topics such as event handling, performance optimization, and security.
Provides a comprehensive overview of serverless architectures on AWS, including a deep dive into Lambda. It valuable resource for architects and developers who are looking to build and deploy serverless applications.
Provides a comprehensive overview of microservices, including their design, implementation, and operation. It covers topics such as microservice architecture, API design, and service discovery.
Provides a comprehensive overview of designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing, which are essential concepts for building serverless applications.
Provides a comprehensive guide to best practices for building and deploying AWS Lambda functions. It covers topics such as function design, security, performance, and monitoring. It valuable resource for developers who want to build and deploy reliable and efficient Lambda functions.

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