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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