Nanodegree Full Stack Developer

Nanodegree Full Stack Developer

Learners with the unique skills they need to build database-backed APIs and web applications.

About the Nanodegree
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.
ESTIMATED TIME

4 months

8 – 10 hours / week

August 23, 2021

REGISTER BEFORE

What will you learn

The goal of the Full Stack Web Developer Nanodegree 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 design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.
Prerequisites and Requirements

Beginner-level experience in Python. If you do not have this experience, check out our Intro to Programming Nanodegree program or Intro to Computer Science course.
Experience building front-end web sites with HTML, CSS, and Javascript.
Experience using Git for version control. If you do not have this experience, check out our How to Use Git and GitHub course.
You are self-driven and motivated to learn. Participation in this program requires consistently meeting the deadlines, and devoting at least 10 hours per week to your work.
You can communicate fluently and professionally in written and spoken English.
You have access to a computer with a broadband connection, on which you’ll install a professional code/text editor (ie. VSCode or Atom) as well as virtual machines (using VirtualBox and Vagrant).
You are willing to contribute to the success of the program, including collaborating with fellow students, and giving us feedback on how we can improve.

SQL and Data Modeling for the Web

For your first project, you’ll be building out the data models and database for an artist/venue 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.

API Development and Documentation

In this project, you will use the skills you’ve developed to build a Trivia API. You will 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.

Identity Access Management
The goal is to 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.
Server Deployment and Containerization
In this project, you will create a container for your Flask web app using Docker and deploy the container to a Kubernetes cluster using Amazon EKS. By the end of the project, you will have deployed your application live to the world, where it should be accessible by IP address. You’ll use automated testing to prevent bad code from being deployed and monitor your app’s performance using AWS tools.
Mentor Support
  • Support for all your technical questions.
  • Questions answered quickly by our team of technical mentors.
  • Responsibility
  • Your mentor will help you stay on track and achieve your goals.
Program Offers It includes
Real world projects Yes
Project reviews Yes
STUDENT SERVICES
Mentor Tech Support Yes
Student community Yes
CAREER SERVICES
CV support Yes
Freelance Projects Yes

Real World Project

Develop an End-to-End project that will allow you to interact in a real work environment.
Matrícula

La matrícula completa del programa es de $ 10,140. Si paga por adelantado, obtiene un 16% de descuento. Recuerde, si no consigue un trabajo dentro de los 6 meses posteriores a la finalización, recibirá un reembolso completo. Ver los términos de elegibilidad de la garantía de empleo

 
Descuento por adelantado | Pague por adelantado y ahorre un 16% en la matrícula | $5000
Pagado al momento de la inscripción
$ 5000
 
Coste total
$5000
Mes a mes | Paga solo los meses que necesites, hasta 6 meses $ 1,690 / mes Total: hasta $ 10,140
Pagado al momento de la inscripción
Depósito reembolsable de
$ 700
Pagos mensuales durante el curso
$ 0
Pagos mensuales después del curso
$ 383 por 36 meses después de comenzar un nuevo trabajo
 
Coste total
$ 14,500
Plan de matrícula diferida | Pague mensualmente solo después de comenzar un trabajo $ 383 / mes Total: $ 14,500
Pagado al momento de la inscripción
Depósito reembolsable de
$ 700
Pagos mensuales durante el curso
$ 0
Pagos mensuales después del curso
$ 383 por 36 meses después de comenzar un nuevo trabajo
 
Coste total
$ 14,500

Jobs

Results-oriented learning

devnow.org is a partner of Bootcamp AI, a platform with updated job offers.

New

Asynchronous program access

Pay as you go
$
55
Monthly
  • Maximum flexibility to learn at your own pace.
  • Slack Community
  • Access to all sessions
  • Access to all quizzes
  • Access to all projects
  • Access to Laboratories
  • Cancel at any time.
New

+ 50% of your salary for the first month when you get a job

  • If you cannot find a job, we will exempt you from paying 50% of your first salary.
  • You must complete the 4 months of the program
Best rated

4 MONTH ACCESS

Pay in advance and save an additional 15%
$
170
Total
  • 4 months is the average time to complete this program.
  • Save an additional 30% compared to pay-as-you-go.
  • Slack Community
  • Access to all sessions
  • Access to all quizzes
  • Access to all projects
  • Access to Laboratories
  • Cancel at any time.
  • Change to the monthly price later if you need more time.
New

+ 50% of your salary for the first month when you get a job

  • If you cannot find a job, we will exempt you from paying 50% of your first salary.
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Tulio Velásquez
Gerente Arq Tecnología
The mentor has clarity on the material and how the step-by-step for each implementation is explained. The mentor has the knowledge and makes an easy understanding of the course.
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Melani Stefania Ruales
Fellow
I think it has qualified teachers and the topics in the courses are super good. She is a good teacher, who she knows about the topics to be covered. It is also dynamic when teaching the class
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Diana Jaramillo
Fellow
The mentor is experienced. I like that there are labs and that I can review the recorded classes.
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Bryan Xavier Landázuri
Felow
Each class module was interesting and each laboratory that was carried out had its respective guide. It was well explained, I presented many applications of the various topics that were seen during the course

María  Cruz

Mentora

Lead Data Scientist en BAT. Doctora en Control Automático con especialidad en procesamiento de Imágenes. Estancias de investigación en la Universidad de California en EEUU, en la Universidad de Coimbra en Portugal y trabajos de investigación con la Universidad de Yale

Jenny Vega

Mentora

Machine Learning Engineer Rappi Software Engineer con más de 5 años de experiencia en el desarrollo de aplicaciones de big data y machine learning altamente escalables. Con sólidos conocimientos y práctica en lenguajes de programación como Python y Javascript. Arquitecta Asociada de AWS. Autodidacta de nuevas tecnologías y frameworks dentro de machine learning e inteligencia artificial.

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FAQ

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