Cloud Developer

Name: Cloud Developer Nanodegree Program
Rating: 4.4 (480 reviews)

Elevate your tech skills with our innovative program focused on Cloud Computing, Microservices, and Serverless Technologies. Master the fundamentals of AWS, learn to build and deploy scalable, full-stack applications on the cloud, and grasp the principles of modern cloud architecture. Delve into microservices, understanding architecture patterns, service replication, and independent scaling. Harness the power of serverless technologies, creating REST APIs and implementing security best practices. Our hands-on exercises offer practical experience, equipping you to design, build, and deploy complex applications. Stay ahead in the digital era with our comprehensive tech program.

Nanodegree Program

Intermediate
60 hours
4.4 (480)
Updated: Jun 15, 2026

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Hands-on projects with expert feedback
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Program Certificates

Skills you'll learn

42 skills

Microservices architecture design
Microservices debugging
CI/CD
Cloud observability
Docker

Prerequisites

10 prerequisites

Prior to enrolling, you should have the following knowledge:

HTML
Command line interface basics
Basic web development
Basic React
Basic JavaScript

You will also need to be able to communicate fluently and professionally in written and spoken English.

Program Outline

6 courses
27 lessons
4 projects

Course 1: Welcome to the Nanodegree Program!

Course 2: AWS Cloud Fundamentals

Course 3: Full Stack Apps on AWS

Course 4: Monolith to Microservices at Scale

Microservices are becoming the default mode of developing and deploying applications at scale. Microservices architecture makes it easier to scale an application to a large system and is a great enabler for continuous integration and delivery. The microservices architecture allows independent scaling, independent releases and deployments, and independent development so that each service has its own codebase. In this course, we will cover the best practices on how to develop and deploy microservices. You will learn topics such as different microservice architecture patterns, independent scaling, resiliency, service replication, service registration, and discovery. By the end of this course, you should be able to design and build an application using a microservice architecture.

21 hours

Introduction to Microservices
Using microservices is both a technical and business decision. In this lesson you will learn about the use cases that caused microservices to become popular.
Microservices Design Principles and Best Practices
When applied correctly, microservice architecture can deliver great business value. In this lesson, we will compare microservices and monoliths and discuss best practices for refactoring.
Containers Using Docker
Applications are often deployed in containers. In this lesson we'll learn why we use containers and how to use Docker to build our applications to be deployed as containers
Automating the Application Development Lifecycle
In this lesson, we'll learn about why the industry embraces Continuous Integration and Continuous Deployment and how Docker helps streamline the process
Orchestration with Kubernetes
Kubernetes is a powerful tool that is often used to deploy containers. In this lesson we’ll learn about why we would consider using Kubernetes and to deploy our applications
Best Practices/Design Patterns for Kubernetes in Production
In this lesson we'll learn some of the best practices for running your application in Kubernetes including logging, scale, and security
Refactor Monolith to Microservices and Deploy
In this project, you will take an existing application named Udagram and refactor it into a microservice architecture with lean services and deploy it using Kubernetes.

Program Instructors

5 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Michał Kapiczyński

Senior Software Engineer

Ivan Mushketyk

Software Engineer, Stripe

Justin Lee

Data Platform Engineer

Gabriel Ruttner

Instructor

Kesha Williams

AI Systems Architect

Michał Kapiczyński

Senior Software Engineer

Ivan Mushketyk

Software Engineer, Stripe

Justin Lee

Data Platform Engineer

Gabriel Ruttner

Instructor

Kesha Williams

AI Systems Architect

Reviews

Average Rating: 4.4 (480 Reviews)

the object detection project need to be updated !

Marco G

Jun 2, 2026

It's a very intense and advance program is highly recommended for the professionals who want to build a career as a perception engineer. It contains all the aspects of self-driving car specialization: computer vision, sensor fusion, localization, planning and control. Additional chapters for career services and interview preparation will help you to start applying for the autonomous driving vacancies really fast after the graduation.
It's a very intense and advance program is highly recommended for the professionals who want to build a career as a perception engineer. It contains all the aspects of self-driving car specialization: computer vision, sensor fusion, localization, planning and control. Additional chapters for career services and interview preparation will help you to start applying for the autonomous driving vacancies really fast after the graduation.

Oleksandr

Oct 22, 2024

Exceptional program that equips you with the skills needed for the future of autonomous vehicles. Challenging projects, great instructors, and a supportive community make it a top choice for anyone passionate about self-driving technology

vivek chavan

Sep 9, 2023

carla simulator failed all the time !!!! wait for several weeks, no way to solve it

Tianhui Y.

Apr 10, 2023

This program provide the overall picture of Self Driving Car System. It allowed me to systematically learn the system.

Hiroki S.

Apr 4, 2023