Master full stack development with front-end, back-end, and cloud skills while learning AI integration. IBM-certified program for career readiness.
Master full stack development with front-end, back-end, and cloud skills while learning AI integration. IBM-certified program for career readiness.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Full Stack Software Developer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
বাংলা, ଓଡ଼ିଆ, اردو, 1 more
What you'll learn
Create dynamic web applications using HTML, CSS, JavaScript, and React
Develop server-side applications with Node.js, Express, and Python
Implement cloud-native solutions using containers and microservices
Build and deploy AI-enhanced applications using Python and Flask
Master database management and API development
Apply DevOps practices using Git, GitHub, and CI/CD pipelines
Skills you'll gain
This course includes:
200 Hours PreRecorded video
15 course assessments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 15 courses in this program
Introduction to Software Engineering
Course 1 · 14 Hours to complete · 6 modules
Introduction to Cloud Computing
Course 2 · 12 Hours to complete · 6 modules
Introduction to HTML, CSS, & JavaScript
Course 3 · 10 Hours to complete · 4 modules
Getting Started with Git and GitHub
Course 4 · 10 Hours to complete · 4 modules
Developing Front-End Apps with React
Course 5 · 14 Hours to complete · 4 modules
Developing Back-End Apps with Node.js and Express
Course 6 · 13 Hours to complete · 4 modules
Python for Data Science, AI & Development
Course 7 · 25 Hours to complete · 5 modules
Developing AI Applications with Python and Flask
Course 8 · 11 Hours to complete · 3 modules
Django Application Development with SQL and Databases
Course 9 · 14 Hours to complete · 5 modules
Introduction to Containers w/ Docker, Kubernetes & OpenShift
Course 10 · 17 Hours to complete · 5 modules
Application Development using Microservices and Serverless
Course 11 · 14 Hours to complete · 6 modules
Full Stack Application Development Capstone Project
Course 12 · 16 Hours to complete · 7 modules
Full Stack Software Developer Assessment
Course 13 · 6 Hours to complete · 2 modules
Generative AI: Elevate your Software Development Career
Course 14 · 17 Hours to complete · 3 modules
Software Developer Career Guide and Interview Preparation
Course 15 · 11 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.