⚙️ Learning path

Machine Learning Engineering

Deploy, optimize, and profile machine learning models in production.

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Machine learning engineering bridges the gap between research models and production
systems. Learn to serve and benchmark local LLMs, optimize them with quantization and
memory profiling, build embedding and similarity-search pipelines, and scale model
training across a distributed cluster.

What you'll learn

  1. 1. Local Model Serving & Benchmarking 🧪 Lab · 3 steps · 🔒 Subscriber ○
  2. 2. Model Quantization & Profiling 🧪 Lab · 3 steps · 🔒 Subscriber ○
  3. 3. Embeddings & Similarity Search 🧪 Lab · 3 steps · 🔒 Subscriber ○
  4. 4. Distributed Training 🧪 Lab · 3 steps · 🔒 Subscriber ○
  5. 5. Machine Learning - Knowledge Check ❓ Quiz · 🔒 Subscriber ○