1929502_9383_122

AI: DevOps, DataOps, MLOps

415,00 

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.

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About this course

Apply Real-World Machine Learning with DevOps, DataOps & MLOps

  • Master end-to-end MLOps solutions through hands-on AI pair programming
  • Leverage cutting-edge tools like GitHub Copilot, Gradio & Hugging Face
  • Build containerized ML apps deployable across cloud platforms

Course Journey:

  • Explore MLOps landscape and pre-trained models to solve business problems
  • Apply ML/AI in practice through optimization, simulation & heuristics
  • Develop integrated DevOps, DataOps & MLOps pipelines on GitHub
  • Package ML solutions in containers for seamless cloud deployment
  • Transition to Rust for high-performance GPU-accelerated ML tasks

Ideal for data scientists, software engineers, analysts & professionals working with machine learning. Gain holistic MLOps skills through real-world projects.

At a glance

  • Institution:

    AI

  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:
    None
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Machine Learning Operations

What you’ll learn

  • Use web frameworks like Gradio & Hugging Face for interactive ML
  • Build command-line tools for ML/AI applications with Click
  • Leverage Rust’s performance for Kubernetes, Docker & Serverless use cases
  • Containerize and deploy ML pipelines across cloud environments

Additional information

Weeks

4

Language

English

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