Home - Made With ML by Anyscale

Learn how to responsibly design, develop, deploy and iterate on production ML applications.

En bref

Ajouté le

17 mars 2026

Matière et domaine

computer-science-advanced · artificial-intelligence-machine-learning

Niveaux scolaires

9e année (3e)–12e année (Terminale)

Type de page

Course

Introduction

Made With ML: Production-Ready Machine Learning

  • Core Mission: Providing education and best practices for designing, developing, deploying, and iterating on production-grade machine learning applications.
  • Acquisition: Made With ML is now part of Anyscale, aiming to accelerate the path toward production ML.
  • Instructor: Goku Mohandas, an expert in building ML platforms for F500 companies and startups.
  • Live Cohorts: Offers intensive one-day live sessions that include lessons, Q&A, GPU compute resources, and community access.
  • Target Audience:
    • Developers: Software engineers and data scientists looking to integrate ML into products.
    • Graduates: Students seeking to bridge the gap between university curriculum and industry requirements.
    • Leadership: Product managers and leaders aiming to build a technical foundation for ML-powered products.
  • Prerequisites:
    • Proficiency in Python (including NumPy and Pandas).
    • Foundational knowledge of ML/Deep Learning (e.g., logistic regression, PyTorch).
    • Experience in industry or academia is recommended.
  • Focus Areas: Addressing real-world obstacles in ML, including scalability, system integrations, and productionization.

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