Overview

Starter Guide

Get started with ZenML fundamentals and set up your first pipeline

Production Guide

Move your ML pipelines from development to production

LLMOps Guide

Build and deploy Large Language Model pipelines

Agent evals → Kitaru

Turn production traces into investigations, evaluators, cohorts, replay experiments, and regression checks in the Kitaru docs.

Tutorials

Deep dives into advanced topics

FloraCast

A production-ready MLOps pipeline for time series forecasting using ZenML and Darts, featuring TFT-based training and scheduled batch inference.

LLM-Complete Guide

Production-ready RAG pipelines from basic retrieval to advanced LLMOps with embeddings finetuning and evals.

Retail Forecast

A robust MLOps pipeline for retail sales forecasting designed for retail data scientists and ML engineers.

OncoClear

A production-ready MLOps pipeline for accurate breast cancer classification using machine learning.

Sign Language Detection with YOLOv5

End-to-end computer vision pipeline

ZenML Support Agent

A production-ready agent that can help you with your ZenML questions.

OmniReader

A scalable multi-model OCR workflow framework for batch document processing and model evaluation.

EuroRate Predictor

Turn European Central Bank data into actionable interest rate forecasts with this comprehensive MLOps solution.

Quickstart

Bridging Local Development and Cloud Deployment

End-to-End Batch Inference

Supervised ML project built with the ZenML framework and its integration.

Agent Architecture Comparison

Compare AI agents with LangGraph workflows, LiteLLM integration, and automatic visualizations.

Agent Framework Integrations

Production-ready integrations for 11 popular agent frameworks including LangChain, CrewAI, AutoGen, and more.

Deploying Agents

Document analysis service with pipelines, evaluation, and embedded web UI.

Agent Outer Loop

Agent training and evaluation loop: evolve a generic agent into a specialized support system through intent classification and model training.

Basic NLP with BERT

Build NLP models with production-ready ML pipeline framework

Computer Vision with YoloV8

End-to-end computer vision pipeline with modular design

LLM Finetuning

LLM fine-tuning pipeline with PEFT approach

Replay-Based Agent Evals (Kitaru)

Runnable Kitaru starter: turn real traces from a PydanticAI returns agent into replayable evals, with human review and bounded replay.