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Learn Production With These Free Resources

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Production

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Learn planning, tool use, memory design, and orchestration patterns.

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Ship safely with evaluation, latency tuning, and reliability playbooks.

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Open Source

LiteLLM

Open-source project for production, api.

production api +1
by BerriAI View
Open Source

OpenAI Evals

Open-source project for evaluation, production.

evaluation open-source +1
by OpenAI View
Open Source

vLLM

Open-source project for production, inference.

production inference +1
by vLLM View
Tutorial

vLLM Documentation

Step-by-step guide for production, inference.

production inference +1
by vLLM View
Tutorial

LangGraph Documentation

Step-by-step guide for agents, production, architecture.

agents production +2
by LangChain View
Tutorial

Milvus Documentation

Step-by-step guide for rag, production, ai tools.

rag production +2
by Milvus View
Tutorial

Qdrant Documentation

Step-by-step guide for rag, production, ai tools.

rag production +2
by Qdrant View
Course

LLMOps

Structured course covering production, evaluation, mlops.

production evaluation +2
by DeepLearning.AI View
Tutorial

Building RAG Systems - Complete Guide

Retrieval Augmented Generation: combine vector search with LLMs for enhanced AI responses. Production-ready patterns.

rag vector-search +3
by Pinecone View
Article

Model Monitoring and Observability

Monitor ML models in production: detect drift, track performance, and maintain model health over time.

mlops production +2
by Evidently AI View
Tutorial

Docker for Machine Learning

Containerize ML applications with Docker. Ensure reproducibility and easy deployment across environments.

deployment production +2
by Docker View
Course

Full Stack Deep Learning

Build and deploy production ML systems. Covers MLOps, testing, infrastructure, and team collaboration.

mlops production +3
by FSDL View
Tutorial

FastAPI for ML Model Deployment

Learn to deploy machine learning models as REST APIs using FastAPI. Fast, modern, and production-ready.

fastapi deployment +3
by FastAPI View
Article

MLOps Principles and Best Practices

Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.

mlops deployment +2
by ML-Ops Community View