Apply DevOps practices in a hands-on project building and deploying microservices using CI/CD, containers, and cloud technologies.
Apply DevOps practices in a hands-on project building and deploying microservices using CI/CD, containers, and cloud technologies.
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 DevOps and Software Engineering Professional Certificate or IBM Applied DevOps Engineering 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.
4.8
(92 ratings)
10,324 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
What you'll learn
Develop user stories and create sprint plans
Build microservices-based applications using containers
Implement CI/CD pipelines for automated deployment
Deploy applications on cloud using Kubernetes
Ensure security in development and deployment
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
12 quizzes, 1 assignment, 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 allows students to demonstrate their DevOps and Software Engineering skills. The course focuses on developing, testing, deploying, and monitoring a secure microservices-based application on Cloud across multiple sprints. Students create an Agile plan using ZenHub and GitHub, implement Test Driven Development, set up Continuous Integration, ensure application security, deploy to Kubernetes, and build an automated CI/CD pipeline.
Create and Execute Sprint Plans
Module 1 · 2 Hours to complete
Develop a RESTful Service Using Test Driven Development
Module 2 · 2 Hours to complete
Add Continuous Integration and Security
Module 3 · 4 Hours to complete
Deploy Your Application to Kubernetes
Module 4 · 2 Hours to complete
Build an Automated CD DevOps Pipeline
Module 5 · 2 Hours to complete
Final Submission and Peer Review
Module 6 · 1 Hours to complete
Final Exam
Module 7 · 3 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.
Leading DevOps Expert and Educator at IBM and NYU
John J. Rofrano is a Senior Technical Staff Member and DevOps Champion at IBM T.J. Watson Research Center, where he leads innovative research projects focused on utilizing artificial intelligence to accelerate application modernization to the cloud. With extensive expertise in DevOps and Agile methodologies, he also serves as an Adjunct Faculty Member at New York University’s Courant Institute and Stern School of Business, teaching graduate-level courses that prepare students for the evolving landscape of technology and software development. His contributions to the field are complemented by his accomplishments as a musician and videographer, alongside his authorship of numerous patents, industry papers, training videos, and books.On Coursera, John offers a range of courses designed to enhance understanding of software development practices, including "Introduction to DevOps," "Continuous Integration and Continuous Delivery (CI/CD)," and "Monitoring and Observability for Development and DevOps." His commitment to education and innovation in technology makes him a key figure in bridging the gap between academic theory and practical application in the tech industry.
Testimonials
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4.8 course rating
92 ratings
Frequently asked questions
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