JavaScript Back-end Capstone Project
Build a complete back-end application using Node.js, Express, and MongoDB with CI/CD integration for the IBM JavaScript certification.
Build a complete back-end application using Node.js, Express, and MongoDB with CI/CD integration for the IBM JavaScript certification.
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 Back-end JavaScript 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.
Instructors:
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What you'll learn
Create RESTful APIs with proper error handling
Implement MongoDB CRUD operations effectively
Develop secure authentication using JWT
Deploy applications using IBM Code Engine and Kubernetes
Integrate CI/CD pipelines with GitHub Actions
Implement microservices architecture
Skills you'll gain
This course includes:
134 Minutes PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive capstone project focuses on building a robust microservices back-end architecture using JavaScript, Node.js, Express, and MongoDB. Students develop a complete "Second Chance" application while implementing CI/CD practices and Kanban board methodologies. The course covers creating RESTful APIs, implementing MongoDB CRUD operations, securing endpoints with JWT, and deploying applications using IBM Code Engine and Kubernetes.
Project Introduction, Repository Setup, User Stories and Database Setup
Module 1 · 3 Hours to complete
Back-end APIs and Services
Module 2 · 3 Hours to complete
Authentication with JWT
Module 3 · 3 Hours to complete
CI/CD, Containerize, and Deploy
Module 4 · 3 Hours to complete
Final Project Submission and Peer Review
Module 5 · 1 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.
Two Decades of Innovation in Technology and Education
With over 20 years of comprehensive experience in technology and education, this professional brings extensive expertise across multiple domains including Cyber Security, Cloud Application Development, Artificial Intelligence, and Data Science. Their academic credentials include a Master's in Science specializing in Data Science from Deakin University Australia, providing a strong theoretical foundation for their practical experience. Their career spans both product-based and project-based companies, where they have demonstrated expertise in software development and the complete Software Development Life Cycle (SDLC). Their proficiency in Agile methodologies and DevOps practices has been instrumental in delivering successful technology solutions across various sectors. As an EdTech Consultant, they combine their technical expertise with educational technology insights to drive innovation in learning platforms. Their unique combination of technical skills and educational technology experience enables them to bridge the gap between complex technological solutions and practical educational applications. Their work has contributed to advancing both traditional software development practices and modern educational technology solutions, particularly in areas of AI implementation, cloud-based learning platforms, and cybersecurity in educational environments.
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