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Home / Topics / MLOps

MLOps

MLOps takes models from notebooks to dependable production systems. Learn feature stores, training pipelines, model registries, deployment, monitoring and drift detection.

9 lessons across 3 courses

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Free lesson Day 2: MLOps vs. DevOps: Mapping the Unique Challenges of Non-Deterministic Systems MLOps Engineering – From Training to Automated Production

MLOps lessons by course

MLOps Engineering – From Training to Automated Production

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  1. Day 2: MLOps vs. DevOps: Mapping the Unique Challenges of Non-Deterministic SystemsFREE
  2. Day 3: The MLOps Maturity Model: Evaluating Your Organization’s Current StateFREE
  3. Day 5: Business Alignment: Defining KPIs for MLOps Success beyond Model Accuracy
  4. Day 18: The Feature Store Paradigm: Offline vs. Online Feature Access
  5. Day 29: The Model Registry: Bridging Experimentation and Production
  6. Day 55: Implementing the Drift Detection Service with Evidently AI
  7. Day 61: Latency Budgeting: Allocating Milliseconds across the Gateway and Feature Store

DevOps Engineering Course – Building Ultra-Scalable Platforms

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  1. Lesson 7 : MLOps Foundation

Hands-On Distributed Systems Engineering in Java

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  1. Day 45: MLOps – Deploying and Monitoring Hyperscale Models

Related topics

AI Agents (27) LLM Serving & Inference (16) Embeddings & Vector Databases (6) RAG: Retrieval-Augmented Generation (4) All topics β†’
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