Full Stack Application Development Capstone Project
Build a complete web application using React, Django, Node.js and deploy it using CI/CD and Kubernetes.
Build a complete web application using React, Django, Node.js and deploy it using CI/CD and Kubernetes.
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, اردو, Azərbaycanca, 1 more
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What you'll learn
Build a full-stack web application using modern technologies
Implement user authentication and dynamic pages
Develop backend services with MongoDB integration
Deploy applications using containers and Kubernetes
Establish CI/CD pipelines for automated deployment
Skills you'll gain
This course includes:
2.1 Hours PreRecorded video
5 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 7 modules in this course
This comprehensive capstone project integrates front-end and back-end development skills to build a complete car dealership web application. Students implement user authentication, dynamic pages, and RESTful services using React, Django, Node.js, and MongoDB. The curriculum covers containerization with Docker, serverless deployment on IBM Code Engine, and Kubernetes orchestration. Through hands-on labs and real-world scenarios, learners develop and deploy a full-stack application following DevOps principles and CI/CD practices.
Application - Static Pages
Module 1 · 1 Hours to complete
Application - User Management
Module 2 · 1 Hours to complete
Back End Services
Module 3 · 5 Hours to complete
Application - Dynamic Pages
Module 4 · 1 Hours to complete
CI/CD, Containerize & Deploy to Kubernetes
Module 5 · 2 Hours to complete
Share Your Project
Module 6 · 1 Hours to complete
Enhancement of Car Dealership Portal
Module 7 · 2 Hours to complete
Fee Structure
Instructors
Full Stack Developer and Machine Learning Expert at IBM
Upkar Lidder serves as a senior software engineer at IBM, bringing over a decade of experience in IT development, including significant roles in team management and technical leadership. His expertise spans full-stack technology, with a current focus on Machine Learning and Artificial Intelligence. As an active member of the tech community, he regularly shares his knowledge through speaking engagements at conferences and participation in local tech groups and meetups. His technical portfolio includes extensive work with serverless applications, Apache OpenWhisk platform, and various aspects of cloud-native development. After completing his graduate studies in Canada, he now resides in the United States, where he contributes to IBM's developer initiatives while also serving as an instructor for numerous courses in web development, DevOps, and mobile application development using Flutter and Dart.
AI and Machine Learning Expert at IBM Canada
Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.
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4.5 course rating
143 ratings
Frequently asked questions
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