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Advanced AI– Powered DevOps Integration and MLOps
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Advanced AI– Powered DevOps Integration and MLOps, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 9/2026
By Biswanath Halder
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 35m 20s | Size: 309.2 MB
Teams that are excellent at shipping application code often stumble the moment a machine learning model enters the pipeline.
Teams that are excellent at shipping application code often stumble the moment a machine learning model enters the pipeline. In this course, Advanced AI-Powered DevOps Integration and MLOps, you'll gain the ability to design intelligent pipelines that predict and prevent failure, optimize themselves through feedback, and enforce security and ethical standards. First, you'll explore how to design and deploy a CI/CD pipeline built for machine learning, featuring distinct source, build, test, and deploy stages. Next, you'll discover how to implement a monitoring-driven feedback loop that detects data drift and automatically triggers model retraining. Finally, you'll learn how to add real-time security scanning and fairness gates to ensure your pipelines stay governable and audit-ready. When you're finished with this course, you'll have the skills and knowledge of MLOps and AI-powered CI/CD needed to design intelligent pipelines that predict and prevent failure, optimize themselves through feedback, and enforce security and ethical standards.
Homepage
https://app.pluralsight.com/ilx/video-courses/advanced-ai-powered-devops-integration-mlops/course-overview
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