Full Stack Web Developer

in this course, you’ll get a taste of some common production environments and tools that you will likely come across in a front end developer role.

You will be building a web tool that allows users to run Natural Language Processing (NLP) on articles or blogs found on other websites

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Overview

The goal of the Full Stack Web Developer program is to equip learners with the unique skills they need to build database-backed APIs and web applications. A graduate of this program will be able to:

This program includes 4 courses and 5 projects. Each project you build will be an opportunity to apply what you’ve learned in the lessons and demonstrate to potential employers that you have practical full-stack development skills.

  • Design and build a database for a software application
  •  Create and deploy a database-backed web API (Application Programming Interface)
  • Secure and manage user authentication and access control for an application backend
  • Deploy a Flask-based web application to the cloud using Docker and Kubernetes 


ESTIMATED TIME

4 Months at 5-10hrs/week


PREREQUISITES

basic HTML, CSS, and JavaScript


FLEXIBLE LEARNING 

Self-paced, so you can learn on the schedule that works best for you


TECHNICAL MENTOR

Our knowledgeable mentors guide your learning

Course 1: SQL and Data Modeling for the Web

Master relational databases with the power of SQL, and leverage Python to incorporate database logic into your programs

Course Project: Design a Venue Booking Database

For your first project, you’ll be building out the data models and database for an artist/venue booking application. The fictitious startup Fy-yur is building a website that facilitates bookings between artists who can play at venues, and venues who want to book artists

This site:

  • Lets venue managers and artists sign up, fill out their information, and list their availability for shows.
  • Lets artists browse venues where they can play, and see what past/upcoming artists have been booked at a venue.
  • Lets a venue manager browse artists that would like to play in their city, and see what past/upcoming venues where the artist has played/will be playing

The goal of this project is to build out the data models for this booking application. A prototype design of the web app will be provided. You’ll use SQLAlchemy and Postgresql to build out the data models upon which this site will rely. You’ll write out both the raw SQL and SQLAlchemy commands to run for powering the backend functionality of the website.

LESSON ONE

Connecting and Interacting with Databases

  • Describe and explain the client-server model
  • Describe and explain the TCP/IP communication protocol
  • Describe and explain the base unit of database work: transactions
  • Install the PostgreSQL database management system
  • Create and manage Postgres databases with the psql client
  • Install the psycopg2 Python+Postgres database driver
  • Create and manage Postgres databases using the psycopg2 Python database driver

LESSON TWO

SQLAlchemy and SQLAlchemy ORM Basics

  • Describe and explain the use cases for an Object Relational Mapping (ORM) library
  • Describe and explain the abstraction layers of SQLAlchemy
  • Connect to and manage a database using composable SQL expressions
  • Define data model objects with Python using SQLAlchemy ORM
  • Connect data models to a lightweight Flask web application
  • Build data models using different types of data

LESSON THREE

SQLAlchemy ORM in Depth

  • Explore and retrieve data using the SQLAlchemy Model query object
  • Create database sessions for executing database transactions
  • Execute database transactions within a connection session
  • Describe and explain the SQLAlchemy object lifecycle
  • Build a lightweight data app using SQLAlchemy
  • Describe and explain the Model-View-Controller (MVC) application architecture
  • Retrieve from data from a webform using Flask
  • Update data models using data migrations
  • Migrate data using Flask-Migrate and Flask-Script
  • Define and code relationships between tables and objects using SQLAlchemy
  • Implement database methods to query relationships between data models

LESSON FOUR

Build a CRUD App with SQLAlchemy ORM -
Part 1

  • Use the CRUD (Create, Read, Update, Delete) model to build a small database backed app
  • Capture user input from a webform to add and modify data to a database
  • Manage data using database sessions in an application controlle

LESSON FIVE

Migrations

  • Modify a data schema using Flask-Migrate and Alembic
  • Write migration scripts to update data schemas using Flask- Script

LESSON SIX

Build a CRUD App with SQLAlchemy ORM - Part 2

  • Update database models using webforms and application routing
  • Delete information from a database using SQLAlchemy
  • Model and control relationships between different types of data objects
  • Implement one-to-many and many-to-many relationships using SQLAlchemy
  • Execute complex database queries on related data models

Course 2: API Development and Documentation

Learn how to use APIs to control and manage web applications, including best practices for API testing and documentation

Course Project: Trivia API

In this project, you will use the skills you’ve developed to build a Trivia API. The API will allow users to:

  • Search for trivia questions and answers via category and difficulty
  • Add new questions
  • Modify the difficulty rating of questions.

The goal of this project is to use APIs to control and manage a web application using existing data models. You’ll be given a set of data models and the application front end. Your task will be to implement the API in Flask to make the Trivia game functional.

LESSON ONE

Introduction to APIs

  • Describe and explain the definition and use cases of APIs (Application Programming Interface)
  • Describe and explain how APIs are used to connect application front ends to server backends

LESSON TWO

HTTP and Flask Basics

  • Describe and explain the Hypertext Transfer Protocol (HTTP)
  • Describe and explain the components of an HTTP request
  • Describe and explain the different HTTP methods (verbs)
  • Describe and explain HTTP status codes
  • Request information from a server using cURL and HTTP requests
  • Install the Python Flask micro application framework
  • Set up and Configure a Flask application
  • Set up and Configure a Flask application
  • Create a Flask endpoint (route)

LESSON THREE

Endpoints and Payloads

  • Structure and Organize API Endpoints
  • Describe and explain Cross-Origin Resource Sharing (CORS)
  • Manage CORS requests using HTTP headers
  • Parse request path and body from an HTTP request
  • Implement HTTP POST, PATCH and DELETE methods using Flask
  • Handle application errors using Flask

LESSON FOUR

Working With Browser Events:

  • Describe and explain the purpose and benefits of API testing
  • Test a REST API using Flask and unittest
  • Develop an application iteratively and safely using Test Driven
  • Development (TDD)

Course 3: Identity Access Management

Implement authentication and authorization in Flask and understand how to design against key security principle. You will also gain experience with role-based control design patterns, securing a REST API, and applying software system risk and compliance principles.

Course Project: Identity Access Management

In the third project of the program, you will build the backend for a coffee shop application. You’ll add user accounts and authentication to your application and use role-based access management strategies to control different types of user behavior in the app. The application must:

  • Display graphics representing the ratio of ingredients in each drink.
  • Allow public users to view drink names and graphics.
  • Allow the shop baristas to see the recipe information.
  • Allow the shop managers to create new drinks and edit existing drinks.

This project will give you a hands-on chance to practice and
demonstrate your new skills, such as:

  • Implementing authentication and authorization in Flask
  • Designing against key security principles
  • Implementing role-based control design patterns
  • Securing a REST API
  • Applying software system risk and compliance principles

LESSON ONE

Foundations

  • Describe and explain the use cases and differences between
    authorization and authentication
  • Describe the problem of security and the risks of unsecured
    or improperly secured application systems
  • Describe different types of security attack
  • Inspect requests and responses for an application using
    Postman

LESSON TWO

Authentication:

  • Describe common methods for application authentication
  • Explain why passwords are not the ideal method for
    authentication
  • Implement an application authentication layer with Auth0
  • Secure API communications using JSON Web Tokens (JWT)

Course 4: Server Deployment and Containerization

Develop an understanding of containerized environments, use Docker to share and store containers, and deploy a Docker container to AWS Elastic Kubernetes Service using the CI/CD pipeline.

Develop an understanding of how to use build tools, such as Webpack, for automating build tasks. Create CSS variables with Sass and configure Webpack to use Sass controlled stylesheets. Learn how to cache server data
and website functionality using Service Worker.

Course Project: Front End Web Developer Nanodegree Program Capstone

In the final project, you’ll combine all of the skills you’ve developed throughout the Nanodegree program to build an online travel app.
You’ll work with data sources from multiple APIs to create a dynamic travel weather planning application that helps people plan trips by generating weather forecasts for the places they’re visiting. You’ll pull together all of the JavaScript, HTML, CSS, and build tool skills and knowledge you’ve gained to create this application. The design is up to you, and you’ll have the flexibility to include and combine other APIs (even your own!) to build this final project.

LESSON ONE

Containers:

  • Describe and explain the benefits and use cases for containerized environments
  • Define a container environment using a Dockerfile
  • Download and launch a Docker container
  • Store and share a docker container

LESSON TWO

AWS and Kubernetes

  • Introduce AWS and commonly used services, S3, EC2, and IAM.
  • Create AWS resources using both AWS console and AWS and AWS command-line interface (CLI).
  • Describe and explain container orchestration, how it works, and the general use case
  • Describe and explain how Kubernetes manages container clusters.
  • Creating an EKS Cluster using AWS console and Eksctl (CLI)
  • Manage Kubernetes clusters using the Kubectl (CLI)

LESSON THREE

Deployment using CI/CD

  • Deploy an application to the EKS cluster
  • Use Cloudformation to create AWS resources using a YAML
    script.
  • Implement an end-to-end Continuous Integration (CI) and Continuous Delivery (CD) pipeline using
    AWS CodePipeline and AWS CodeBuild services.

LESSON FOUR

Final Touches:

  • Control variable and function scope with JavaScript IIFEs (Immediately Invoked Function Expressions)
  • Optimize an application build pipeline with Webpack
  • Cache server data and websites functionality using Service Worker

Contact Us

Get all your remaining questions answered             

12pm - 7pm

Phone

+13094397936

email

info@magiccrss.com

Address

100 Valley Hill Rd Apt C8, Riverdale, 30274

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