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DataCamp

Deploy & Manage Generative AI Models

via DataCamp Path

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Overview

This learning path provides a comprehensive introduction to machine learning operations (MLOps), with a specific focus on generative AI. You’ll learn to manage the entire lifecycle of generative AI models, from development and deployment to monitoring. Test your knowledge with a hands-on lab where you'll train and deploy a model in the cloud with Vertex AI.

Syllabus

  • Machine Learning Operations (MLOps) for Generative AI
    • Uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and explore how Vertex AI empowers AI teams.
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
    • Gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks.
  • Responsible AI for Developers: Fairness & Bias
    • This course covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices.
  • Responsible AI for Developers: Interpretability & Transparency
    • It discusses the importance of AI transparency for developers and engineers.
  • Responsible AI for Developers: Privacy & Safety
    • It explores practical methods and tools to implement AI privacy and safety recommended practices.
  • Introduction to Security in the World of AI
    • This course equips security and data protection leaders with strategies to securely manage AI within their organizations.
  • Model Armor: Securing AI Deployments
    • This course reviews the essential security features of Model Armor and equips you to work with the service.

Taught by

Google Cloud

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