| Starter Guide | Get started with ZenML fundamentals and set up your first pipeline | starter.png | starter-guide |
| Tutorials | Deep dives into advanced topics | prod.png | organizing-pipelines-and-models |
| LLMOps Guide | Build and deploy Large Language Model pipelines | llm.png | llmops-guide |
| FloraCast | A production-ready MLOps pipeline for time series forecasting using ZenML and Darts, featuring TFT-based training and scheduled batch inference. | zencoder.jpg | https://www.zenml.io/projects/floracast |
| LLM-Complete Guide | Production-ready RAG pipelines from basic retrieval to advanced LLMOps with embeddings finetuning and evals. | llm-complete-guide.jpg | https://github.com/zenml-io/zenml-projects/tree/main/llm-complete-guide |
| Retail Forecast | A robust MLOps pipeline for retail sales forecasting designed for retail data scientists and ML engineers. | nightwatch.jpg | https://www.zenml.io/projects/retail-forecast |
| Research Radar | Automates research paper discovery and classification for specialized research domains. | researchradar.jpg | |
| OncoClear | A production-ready MLOps pipeline for accurate breast cancer classification using machine learning. | magicphoto.jpg | https://www.zenml.io/projects/oncoclear |
| Sign Language Detection with YOLOv5 | End-to-end computer vision pipeline | yolo.jpg | https://www.zenml.io/projects/sign-language-detection-with-yolov5 |
| ZenML Support Agent | A production-ready agent that can help you with your ZenML questions. | support.jpg | https://www.zenml.io/projects/zenml-support-agent |
| OmniReader | A scalable multi-model OCR workflow framework for batch document processing and model evaluation. | gamesense.jpg | https://www.zenml.io/projects/omnireader |
| EuroRate Predictor | Turn European Central Bank data into actionable interest rate forecasts with this comprehensive MLOps solution. | eurorate.jpg | https://www.zenml.io/projects/eurorate-predictor |
| Quickstart | Bridging Local Development and Cloud Deployment | example-01.png | https://github.com/zenml-io/zenml/blob/main/examples/quickstart/README.md |
| End-to-End Batch Inference | Supervised ML project built with the ZenML framework and its integration. | example-02.png | https://github.com/zenml-io/zenml/tree/main/examples/e2e |
| Agent Architecture Comparison | Compare AI agents with LangGraph workflows, LiteLLM integration, and automatic visualizations. | example-06.png | https://github.com/zenml-io/zenml/blob/main/examples/agent_comparison/README.md |
| Agent Framework Integrations | Production-ready integrations for 11 popular agent frameworks including LangChain, CrewAI, AutoGen, and more. | example-06.png | https://github.com/zenml-io/zenml/tree/main/examples/agent_framework_integrations |
| Deploying Agents | Document analysis service with pipelines, evaluation, and embedded web UI. | example-07.png | https://github.com/zenml-io/zenml/blob/main/examples/deploying_agent/README.md |
| Agent Outer Loop | Agent training and evaluation loop: evolve a generic agent into a specialized support system through intent classification and model training. | example-07.png | https://github.com/zenml-io/zenml/blob/main/examples/agent_outer_loop/README.md |
| Basic NLP with BERT | Build NLP models with production-ready ML pipeline framework | example-03.png | https://github.com/zenml-io/zenml/tree/main/examples/e2e_nlp |
| Computer Vision with YoloV8 | End-to-end computer vision pipeline with modular design | example-04.png | https://github.com/zenml-io/zenml/tree/main/examples/computer_vision |
| LLM Finetuning | LLM fine-tuning pipeline with PEFT approach | example-05.png | https://github.com/zenml-io/zenml/tree/main/examples/llm_finetuning |