Free Certification Course Title: MLOps Certification- Basics, Deployment & Deepchecks (MLOps)
MLOps: Deep Checks, ML Flow, TFX & Helm for CI/CD deployment in ML systems and reliable monitoring of workflows in MLOps
What you’ll learn:
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MLOps- What are MLOps (Machine Learning Opeartions)?
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MLOps: Components including Continuous X & Versioning
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MLOps: Life Cycle Process ( End to End Learning Flow)
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MLOps: Model Testing & Model Packaging in PMML and ONNX
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MLOps: Workflow Decomposition & Production Environment
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MLOps: Pre- Computing Serving Patterns
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MLOps: Data, Machine Learning and Code Pipelines
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MLOps: Offline & Live Evaluation & Monitoring
Requirements:
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No prior experience is needed. You will learn everything you need to know.
Who this course is for:
- Beginner students and researchers curious to know about MLOps
- Individuals looking to enter the data and AI industry.
Description:
This course introduces participants to MLOps concepts and best practices for deploying, evaluating, monitoring and operating production ML systems on both cloud and Edge. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
This course includes:
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2 hours on-demand video
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10 articles
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25 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
