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From Concept to Cloud: Mastering Full-Stack Web Development

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From Concept to Cloud: Mastering Full-Stack Web Development, available at $84.99, has an average rating of 4.45, with 122 lectures, based on 19 reviews, and has 294 subscribers.

You will learn about Learn how to develop a full-stack application with Node, AWS, & Nextjs from every stage starting with planning all the way to deployment Create an application that interacts with its users in real-time by connecting a Twitter with your website using WebSockets Perform almost every possible role an engineer can have during the production lifecycle of an application Develop a website that utilizes server side rendering with Nextjs Utilize the Google maps API with Reactjs to create a fully interactive map Automatically build and deploy code when you push commits using Github Actions Build over 7 different types of AWS resources with code using Terraform Deploy a Nextjs application on AWS using Terraform and AWS Amplify Containerize and test your Node and Nextjs code using docker Build a fully functioning virtual private cloud on AWS with Terraform that will allow you to deploy internet enabled resources Develop API endpoints and WebSocket endpoints using AWS Lambda functions and AWS API Gateway This course is ideal for individuals who are Frontend engineer that wants to learn how to build with Google Maps and Nextjs or Frontend engineer that wants to deploy their Nextjs application to AWS Amplify or Backend engineer that wants to learn how create WebSocket and API endpoints with API Gateway and serverless functions or Backend engineer that wants to learn how stream real time Twitter data with Nodejs and AWS or Cloud engineer that wants to learn how to deploy multiple types of AWS services to AWS with Terraform or DevOps engineer that wants to see how to build pipelines for multiple systems with Github Actions or Engineer that wants to upgrade their portfolio by adding an impressive project or Engineer that wants to learn how to containerize their Nextjs and Nodejs code It is particularly useful for Frontend engineer that wants to learn how to build with Google Maps and Nextjs or Frontend engineer that wants to deploy their Nextjs application to AWS Amplify or Backend engineer that wants to learn how create WebSocket and API endpoints with API Gateway and serverless functions or Backend engineer that wants to learn how stream real time Twitter data with Nodejs and AWS or Cloud engineer that wants to learn how to deploy multiple types of AWS services to AWS with Terraform or DevOps engineer that wants to see how to build pipelines for multiple systems with Github Actions or Engineer that wants to upgrade their portfolio by adding an impressive project or Engineer that wants to learn how to containerize their Nextjs and Nodejs code.

Enroll now: From Concept to Cloud: Mastering Full-Stack Web Development

Summary

Title: From Concept to Cloud: Mastering Full-Stack Web Development

Price: $84.99

Average Rating: 4.45

Number of Lectures: 122

Number of Published Lectures: 122

Number of Curriculum Items: 122

Number of Published Curriculum Objects: 122

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn how to develop a full-stack application with Node, AWS, & Nextjs from every stage starting with planning all the way to deployment
  • Create an application that interacts with its users in real-time by connecting a Twitter with your website using WebSockets
  • Perform almost every possible role an engineer can have during the production lifecycle of an application
  • Develop a website that utilizes server side rendering with Nextjs
  • Utilize the Google maps API with Reactjs to create a fully interactive map
  • Automatically build and deploy code when you push commits using Github Actions
  • Build over 7 different types of AWS resources with code using Terraform
  • Deploy a Nextjs application on AWS using Terraform and AWS Amplify
  • Containerize and test your Node and Nextjs code using docker
  • Build a fully functioning virtual private cloud on AWS with Terraform that will allow you to deploy internet enabled resources
  • Develop API endpoints and WebSocket endpoints using AWS Lambda functions and AWS API Gateway

Who Should Attend

  • Frontend engineer that wants to learn how to build with Google Maps and Nextjs
  • Frontend engineer that wants to deploy their Nextjs application to AWS Amplify
  • Backend engineer that wants to learn how create WebSocket and API endpoints with API Gateway and serverless functions
  • Backend engineer that wants to learn how stream real time Twitter data with Nodejs and AWS
  • Cloud engineer that wants to learn how to deploy multiple types of AWS services to AWS with Terraform
  • DevOps engineer that wants to see how to build pipelines for multiple systems with Github Actions
  • Engineer that wants to upgrade their portfolio by adding an impressive project
  • Engineer that wants to learn how to containerize their Nextjs and Nodejs code

Target Audiences

  • Frontend engineer that wants to learn how to build with Google Maps and Nextjs
  • Frontend engineer that wants to deploy their Nextjs application to AWS Amplify
  • Backend engineer that wants to learn how create WebSocket and API endpoints with API Gateway and serverless functions
  • Backend engineer that wants to learn how stream real time Twitter data with Nodejs and AWS
  • Cloud engineer that wants to learn how to deploy multiple types of AWS services to AWS with Terraform
  • DevOps engineer that wants to see how to build pipelines for multiple systems with Github Actions
  • Engineer that wants to upgrade their portfolio by adding an impressive project
  • Engineer that wants to learn how to containerize their Nextjs and Nodejs code

Ready to build a food truck tracking app over the course of a weekend? This course will give you the skills and knowledge to develop a real-time web application that tracks food truck locations using the Google Maps API and WebSockets. You’ll wear many hats, including DevOps engineer, backend engineer, frontend engineer, and Solutions Architect, allowing you to gain hands-on experience in a variety of roles.

  • Frontend engineer, you’ll craft an intuitive user interface using Nextjs, leveraging the power of the Google Maps API while seamlessly integrating with the backend services you’ll create.

  • Backend engineer, you’ll be responsible for building the API and WebSockets in Nodejs and deploying them on AWS, ensuring robust and efficient communication between the frontend and backend components.

  • Solutions Architect, you’ll design and construct the entire infrastructure on AWS, utilizing cutting-edge tools such as DynamoDB, Lambda, API Gateway, SQS, ECS, and more to create a robust and scalable system.

  • DevOps engineer, you’ll set up an efficient pipeline for your codebase using GitHub actions, streamlining development and deployment processes and increasing productivity.

By the end of this course, you’ll have developed a functional and exciting food truck tracking application that integrates multiple technologies, making you a versatile and in-demand developer.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Who is this course for?

Lecture 3: Defining requirements for our application

Lecture 4: Designing our system

Lecture 5: Final result preview!

Chapter 2: Setting up basic tools and AWS

Lecture 1: Goals

Lecture 2: Installing Visual Studio Code

Lecture 3: Installing Docker

Lecture 4: Downloading Node & Yarn

Lecture 5: Create an AWS account

Lecture 6: Setting up Multi-Factor Authentication (MFA) with AWS

Lecture 7: Setup AWS access key

Lecture 8: Downloading AWS CLI

Lecture 9: Downloading and storing your AWS access keys

Lecture 10: Setting up OpenID Connection for Github on AWS

Lecture 11: Creating a role for our OpenID Connection

Chapter 3: Database

Lecture 1: Goals

Lecture 2: Setting up a Github repository

Lecture 3: Initialize Node project and configure Typescript

Lecture 4: Define data types

Lecture 5: Aside: Adding a folder to .gitignore file

Lecture 6: Initializing seed data

Lecture 7: Create a DynamoDB table

Lecture 8: Describe a DynamoDB table

Lecture 9: Delete a DynamoDB table

Lecture 10: Insert a record to a DynamoDB table

Lecture 11: Seed all data into a DynamoDB table

Chapter 4: Network

Lecture 1: Goals

Lecture 2: Setting up a Github repository

Lecture 3: Setting up a .gitignore file

Lecture 4: Creating an S3 bucket for Terraform state

Lecture 5: Adding Github actions secrets to Github

Lecture 6: Setting up Github actions

Lecture 7: Terraform starting point

Lecture 8: Terraform variables

Lecture 9: Attach the first policy to your OpenID Connect role

Lecture 10: Attach all policies to your OpenID Connect role

Lecture 11: Terraform VPC

Lecture 12: Terraform Subnets

Lecture 13: Terraform Internet Gateway, Nat Gateway, & Elastic IP

Lecture 14: Terraform Route Tables

Lecture 15: Decomission resources

Chapter 5: Twitter Service

Lecture 1: Goals

Lecture 2: Getting a Twitter API key

Lecture 3: Setting up a Github repository

Lecture 4: Initialize Node project and configure Typescript

Lecture 5: Setting up Github actions

Lecture 6: Define data types

Lecture 7: Describe a DynamoDB table

Lecture 8: Scan a DynamoDB table

Lecture 9: Get all scan results from a DynamoDB table

Lecture 10: Insert a tweet onto an array field in DynamoDB

Lecture 11: Send a message to SQS

Lecture 12: Set Twitter stream rules

Lecture 13: Get Twitter stream rules

Lecture 14: Delete all Twitter stream rules

Lecture 15: Parse a tweet from the Twitter stream

Lecture 16: Connect to a Twitter stream

Lecture 17: Stream vendors

Lecture 18: Health check

Lecture 19: Putting it all together

Lecture 20: Dockerfile

Lecture 21: Terraform starting point

Lecture 22: Terraform variables

Lecture 23: Create ECS secrets file

Lecture 24: Terraform Identity Access Management

Lecture 25: Terraform Loadbalancer

Lecture 26: Terraform ECS

Lecture 27: Terraform SQS

Lecture 28: Testing it all together

Chapter 6: API & Websockets

Lecture 1: Goals

Lecture 2: Setting up a Github repository

Lecture 3: Initialize Node project and configure Typescript

Lecture 4: Setting up Github actions

Lecture 5: Create a connection table in DynamoDB

Lecture 6: Add connection

Lecture 7: Remove connection

Lecture 8: Remove a message from SQS

Lecture 9: Broadcast message with Websockets

Lecture 10: Connect Lambda function

Lecture 11: Connect Lambda function Dockerfile

Lecture 12: Disconnect Lambda function

Lecture 13: Disconnect Lambda function Dockerfile

Lecture 14: Send vendor Lambda function

Lecture 15: Send vendor Lambda function Dockerfile

Lecture 16: Get vendors Lambda function

Lecture 17: Get vendors Lambda function Dockerfile

Lecture 18: Terraform Identity Access Management

Lecture 19: Terraform Lambda

Lecture 20: Terraform API Gateway

Lecture 21: Testing our WebSockets on AWS

Chapter 7: UI

Lecture 1: Goals

Lecture 2: Personal Access Token

Instructors

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  • 4 stars: 4 votes
  • 5 stars: 14 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


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