7 – MLOps (ML Operations) for Business (P:3 C:7)

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About Course

Phase 3 Course 7: AI Roadmap for Corporate Growth

This course is designed to bridge the gap between technical machine learning and sustainable business value. I will guide you through the structure of this curriculum, and we can dive deeper into any specific module or concept as we go.

Benefits of Attending

Reduced operational risk, faster time-to-market for AI features, and sustained ROI on AI investments.

Expected Outcomes

Participants will be able to design an MLOps roadmap and define KPIs for model health.

    What Will You Learn?

    • The MLOps lifecycle
    • CI/CD for ML
    • Monitoring Strategies and Governance.

    Course Content

    Module 1: Introduction to MLOps

    • Introduction to MLOps
      00:00
    • Module 1 Quiz

    Module 2: ML Lifecycle & Pipeline

    Module 3: Data Versioning & Management

    Module 4: Model Deployment Strategies

    Module 5: Monitoring Model Drift

    Module 6: Automated Retraining Loops

    Module 7: Governance, Risk, & Compliance

    Module 8: Scaling MLOps in Enterprise

    Conclusions and Summary

    Download: MLOps for Business: Practical Implementation Guide

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