Certificate in Continuous Integration & Delivery for Data Science
-- viewing nowThe Certificate in Continuous Integration & Delivery for Data Science is a crucial course that bridges the gap between data science and software engineering. This certificate course emphasizes the importance of automating code deployment and integration, ensuring that data scientists can efficiently and effectively deliver their findings to stakeholders.
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Course Details
• Introduction to Continuous Integration & Delivery
• Version Control Systems (Git, Mercurial)
• Setting up a CI/CD Pipeline (Jenkins, CircleCI, Travis CI)
• Testing in CI/CD (Unit testing, Integration testing)
• Continuous Integration Best Practices
• Continuous Delivery and Deployment (Blue/Green, Canary)
• Containerization and CI/CD (Docker, Kubernetes)
• Cloud-based CI/CD (AWS CodePipeline, Azure DevOps)
• Monitoring and Logging in CI/CD
• CI/CD for Data Science Projects (Data version control, MLOps)
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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