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Full Stack Application Developer Capstone

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In this project you will sharpen your new full stack cloud application development skills. You will use modern tools and technologies to create a working cloud ecosystem. You will design and develop a comprehensive solution that reflects your mastery of key cloud native computing concepts and capabilities

Language

  • English

Topic

  • Cloud Development

Skills You Will Learn

  • Apache Flex, Application Development, Application Programming Interface (API), Architectural Models, Artificial Intelligence, Cascading Style Sheets (Css)

Offered By

  • IBM

Estimated Effort

  • 3 wks/4-6 hrs

Platform

  • edX

Last Update

  • April 16, 2025
About this Course
The project provides you with a real-life challenge that requires you to flex and firm your cloud native application development muscle. You will start with a problem situation. To address this problem, you will use resources like GitHub, IBM Cloud services, and open source frameworks, and you will apply your knowledge of cloud native languages, database management, AI/machine learning, continuous integration and continuous delivery, and cloud native APIs.


Through a series of labs and assessments, you will use modern tools and services including IBM Watson Assistant, IBM Cloudant, HTML, CSS, JavaScript, JSON, Node.js, React.js, and Express.js.


The second part of this course will have you review and test your overall understanding of cloud computing concepts, languages, frameworks, databases, and architectural models. When you complete this project and final test, you will have raised your skills to a higher level and built a working cloud native application that will impress potential employers.

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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