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via Udemy |
Go to Course: https://www.udemy.com/course/build-and-deploy-lambda-functions-aws-with-python-and-boto3/
Certainly! Here is a comprehensive review and recommendation for the Coursera course on AWS Lambda: --- **Course Review: Mastering Serverless with AWS Lambda on Coursera** This course offers an in-depth, hands-on dive into AWS Lambda, one of the most rapidly expanding services within the Amazon Web Services ecosystem. It is ideally suited for developers eager to explore serverless computing by developing, deploying, and managing Lambda functions across multiple programming languages including Python, Node.js, and Java. **Course Content & Structure:** From the outset, the course emphasizes practical learning—guiding you through setting up your development environment on both Windows and MacOS. It covers crucial prerequisites such as installing Python, Boto3, Java, Maven, and configuring AWS accounts, IAM policies, and roles. This thorough setup phase ensures learners are well-prepared before diving into code development. The course then systematically introduces core concepts: - Creating IAM policies and roles to grant Lambda functions necessary permissions. - Developing and packaging Lambda functions in Python, Node.js, and Java. - Deploying and testing functions directly on AWS. - Using tools like Eclipse and AWS Toolkit for Java development. - Managing and updating your Lambda functions, including versioning, aliasing, environment variables, and CRUD operations. One of the standout features is the step-by-step implementation approach—building from scratch, uploading code packages, and verifying on the AWS console. The instruction to develop utility classes for packaging code demonstrates best practices for deployment automation. **Strengths:** - **Comprehensive Coverage:** The course covers not only how to create Lambda functions but also how to integrate them with other AWS services like S3 and CloudWatch. - **Multi-language Focus:** Offering insights into Python, Node.js, and Java broadens appeal and applicability. - **Hands-On Projects:** Practical exercises ensure learners can confidently implement serverless functions. - **Clear Instructions for Environment Setup:** Separate guides for Windows and MacOS facilitate smoother onboarding. - **Advanced Management:** The course delves into managing functions with aliasing, versioning, environment variables, and source code updates. **Recommendations:** This course is highly recommended for developers and cloud practitioners wanting a practical, well-structured introduction to AWS Lambda. It is particularly useful for those who prefer learning by doing, thanks to its hands-on approach. Prior basic knowledge of AWS or programming in the mentioned languages will enhance the learning experience, but the clear instructions make it accessible for motivated beginners. **Final Verdict:** If you're looking to master serverless development using AWS Lambda and want a course that provides real-world implementation skills across multiple programming languages, this course on Coursera is an excellent choice. Enroll today to start deploying scalable, cost-effective serverless applications with confidence! --- Would you like me to assist you with anything else related to this course?
AWS Lambda is one of the fastest growing services of AWS! Join me in this course to learn how you can develop and deploy Python, Node.js or Java Lambda functions using Python and Boto3; manage your serverless functions easily! This course is part of a series of courses on AWS solutions with Python and Boto3 and now it's time to implement serverless functions! AWS Lambda is a cornerstone service for serverless architectures on AWS. You do not manage infrastructure like CPU, memory, OS or patches you name it! All you have to do and worry about is your implementation and code! Let's take a closer look at what we're going to cover in this course step-by-step. In this course, we will start off with what we'll build throughout the course and what you need to have on your computer to follow along with me. Don't worry; I'll explain everything you need very clearly and I'll show you what you need to install and setup on your computer to work with AWS Lambda. There will be two different sections for Windows and MacOS users. These sections are basically identical and show how you can prepare your computer environment to be ready to work with AWS Lambda! I'll show you how to install Python, Boto3 and configure your environments for these tools. I'll also show you how you can create your own AWS account step-by-step and you'll be ready to work AWS in no time! When we're done with preparing our environment to work AWS with Python and Boto3, we'll start implementing our solutions for AWS. First thing we'll do is to create an IAM Access Policy for our Lambda Functions to access and communicate with other AWS resources like S3, CloudWatch and so on. Once we have it created, we'll also create an IAM Role for our Lambda Function to execute and run on AWS on our behalf. And as for the most crucial part of this process, we'll attach the IAM Policy to IAM Role so we will be complete on permissions and roles to run our Lambda Functions! Next step is to develop a Python Lambda function from scratch! We'll develop a Python function with a proper handler and start implementing the way to develop it to AWS. For that purpose - since AWS is looking for bytes of the source code for Lambda functions - we'll develop a Utility class where we'll implement the way to package our Lambda Function first as zip file. Once we do that, we'll then read the bytes of the file and pass that information to our deployer method. Apart from source code, we will also provide our Lambda function a runtime, name and so on. Once we successfully deploy our Python Lambda function, we'll check it out on AWS console and verify that its configured as we expect it to be. Next up is the implementation and deployment of a Node.js Lambda function! We'll follow the same steps again to implement and create our own Node.js Lambda function and deploy it using our genericly-implemented solution for deployment. Once we've done that, we'll again go to AWS console and verify our Lambda function. Java Lambda functions are up next! We'll launch Eclipse IDE - which is basically the easiest way to create and work with Java Lambda functions - and install AWS Toolkit first. Once we have it, we will create our very first Java Lambda function and then we'll package it as an executable JAR file using Maven. Next thing to do is to deploy our Java Lambda function and once we do that, we'll go to AWS console and verify it. Now is time to invoke our Lambda functions and you will see how easy it is to do so! We'll call our function and parse the response from AWS! Next up is to manage our Lambda function in various ways and that includes Aliasing, Versioning, using Environment Variables, Updating the Source Code and much more! We'll also learn all the basic CRUD operations we can do against Lambda functions and you'll again see how easy those are too! Let's not lose any more time and jump right into developing and deploying Lambda functions to AWS Lambda!