Machine learning at scale

Machine Learning at Scale – Become a x10 Machine Learning Engineer

A resource hub and learning program designed for ML engineers to upskill and operate large-scale ML systems. Curated by Ludovico (Ludo), it focuses on practical insights, deep dives, and real-world techniques used by ML engineers at top tech companies.

What it is

• A knowledge-and-skills boosting platform for ML engineers aiming to level up to more advanced roles.
• Offers weekly high-quality insights, deep dives into core ML topics, and practical guidance for day-to-day engineering tasks.
• Highlights best tools, patterns, and methodologies used in production-grade ML systems.

Who it’s for

• Machine Learning Engineers looking to scale their impact
• Engineers working on large-scale ML systems, optimization, and deployment
• Professionals wanting concrete, actionable techniques (not just theory)

What you’ll learn

• RAG (Retrieval-Augmented Generation) systems and their design patterns
• LLM optimizations for performance, cost, and reliability
• LLM training pipelines and lifecycle management
• End-to-end ML system design for scalable, robust productization
• Practical tips drawn from real-world experiences across high-QPS environments
• Case studies from projects at industry-leading organizations

How to get started

• Subscribe to receive weekly insights and deep dives
• Access examples, checklists, and best practices that can be applied to your current projects
• Follow along with topic deep dives and implementable guidance in your workflows

Safety and ethics

• Focus on responsible ML engineering, production-readiness, and system reliability; follow organizational policies and applicable laws when deploying ML solutions.

Core Features

• Weekly, high-quality insights tailored for ML engineers
• Deep dives into RAG systems, LLM optimizations, training, and system design
• Practically oriented guidance with real-world usage examples
• Content designed to scale with your career from practitioner to senior engineer
• Community-style guidance and resources from experienced professionals