Professional Certificate in Continuous Integration for AI
-- viewing nowThe Professional Certificate in Continuous Integration for AI is a comprehensive course that empowers learners with essential skills for modern software development and AI engineering. This certificate course focuses on Continuous Integration (CI), a critical practice in DevOps that ensures code changes are automatically tested and integrated with the main codebase, reducing errors and accelerating development cycles.
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Course details
• Introduction to Continuous Integration
• Version Control Systems (Git, SVN, etc.)
• Setting up a CI/CD pipeline (Jenkins, Travis CI, etc.)
• Automated Testing (Unit testing, Integration testing, etc.)
• Code Quality Analysis (Static code analysis, Code coverage, etc.)
• Build Automation (Maven, Gradle, etc.)
• Containerization (Docker, Kubernetes, etc.)
• Cloud Deployment (AWS, Azure, Google Cloud, etc.)
• Monitoring and Logging (Prometheus, Grafana, ELK, etc.)
• Security in CI/CD (Secure coding, Vulnerability scanning, etc.)
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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