AI/ML Fundamentals for DevOps and Testing

AI/ML can improve CI/CD reliability and reduce test maintenance, but only if you understand how to apply it effectively in your pipelines.
What you'll learn
AI/ML can improve CI/CD reliability and reduce test maintenance, but only if you understand how to apply it effectively in your pipelines.
In this course, AI/ML Fundamentals for DevOps and Testing, you'll gain the ability to identify, evaluate, and operationalize AI/ML solutions within modern DevOps workflows. First, you'll explore the fundamentals of AI, machine learning, and automation, along with how ML systems are structured and how they work.
Next, you'll discover how to prepare and manage data, select practical use cases, and evaluate model performance.
Finally, you'll learn how to deploy models into CI/CD pipelines with proper monitoring, governance, and safeguards to avoid common pitfalls like data leakage and noisy labels.
When you're finished with this course, you'll have the skills and knowledge of AI/ML in CI/CD needed to improve pipeline reliability, reduce maintenance overhead, and shift from reactive firefighting to proactive operations.
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