Full Stack Developer Professional Certificate

What you will learn:
Describe the core concepts of cloud computing, cloud models and architectures, components of cloud computing, and list the major cloud service providers.
Apply essential cloud application development concepts and languages including HTML5, CSS3, and JavaScript, to create your first cloud-based applications.
Explain Cloud Native and apply DevOps practices with a CI/CD toolchain on IBM Cloud, and Git to continuously develop and update Cloud applications.
Develop full-stack native cloud applications using Node.js framework for server-side and React for front-end. Extend your applications with third-party packages, REST APIs and AI services such as IBM Watson.
Define containerization technology and state the significance of containers to Cloud Native. Build Docker images, and orchestrate & scale applications using the Kubernetes ecosystem.
Recall the fundamentals of Python, one of the most popular and beginner friendly programming languages and employ various Python programming constructs to create a Cloud application.
Discuss the differences between relational and NoSQL databases. Compose SQL queries to insert, select, update, delete and join data in a database. Explain Object Relational Model (ORM) and employ Django ORM to develop a database powered application.
Describe and apply best practices in secure cloud computing, by adding authentication and encryption to your application.
Summarize the essentials of Microservices, Serverless Computing, and their importance for Cloud Native development. Compose an application using several microservices and deploy it on a private, public or hybrid cloud with OpenShift.
Demonstrate your proficiency in applying various Cloud Native tools and technologies to develop, deploy, run, and update applications on a cloud platform.

Filter Courses within "Full Stack Developer Professional Certificate" (Click to filter)
Developing Cloud Native Applications (edX) EdX
IBM

Developing Cloud Native Applications (edX)

Dive into the world of Cloud Native Computing with our expert-led course. From understanding fundamental concepts to implementing advanced techniques, you'll learn how to develop applications that are scalable, resilient, and efficient using DevOps practices, RESTful APIs, JSON handling, and more. Start leveraging cloud services like AI-powered APIs and NoSQL databases to enrich your application today.

Self Paced
Self-Paced
Full Stack Application Development Project (edX) EdX
IBM

Full Stack Application Development Project (edX)

Embark on an exciting journey to develop a complete web application from scratch with our Full Stack Application Development Project course. Gain hands-on experience in front-end and back-end technologies as you create and deploy a functional, real-world application using Django, Python, Node.js, and more. Perfect for those looking to enhance their full stack development skills.

Self Paced
Self-Paced
Python Basics for Data Science (edX) EdX
IBM

Python Basics for Data Science (edX)

Embark on a journey to learn Python basics tailored specifically for aspiring data scientists. This introductory course offers a comprehensive guide to Python programming, equipping you with the skills needed to start analyzing data effectively. Through engaging content and practical lab exercises, you'll build your first Python scripts and gain confidence in applying Python for data science tasks.

Self Paced
Self-Paced
Introduction to Containers, Kubernetes and OpenShift (edX) EdX
IBM

Introduction to Containers, Kubernetes and OpenShift (edX)

Dive into the world of containers with our Introduction to Containers, Kubernetes, and OpenShift course. Whether you're new to tech or looking to expand your skills, this course offers a structured learning path that covers essential concepts and provides hands-on practice in the cloud environment. Master containerization, understand Docker, Kubernetes, OpenShift, and Istio, and become proficient in deploying, scaling, and managing applications efficiently.

Self Paced
Self-Paced
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