MLFlow Courses and Certifications

The Machine Learning Engineer

MLOps MLFlow: Mlflow Projects - Databricks and MLFlow Pipelines

Aprende a crear pipelines de ejecución con MLflow Projects, utilizando Databricks como repositorio de artefactos y servidor de seguimiento para registrar toda la actividad.

• YouTube
• 20 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps MLFlow: Creating Pipelines with MLflow Projects - Part 1 (Español)

Aprende a crear pipelines de ejecución con MLflow Projects para optimizar tus flujos de trabajo en ciencia de datos y aprendizaje automático.

• YouTube
• 29 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps MLFlow: Serving LLMs with MLflow - Phi-3-mini-4k-instruct Local Deployment in Spanish

Aprende a crear y servir modelos LLM con MLflow, utilizando Phi-3-mini-4k-instruct en local. Explora la serialización, el seguimiento y la inferencia en español.

• YouTube
• 23 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps MLFlow: Creación de Modelos Personalizados con Python Model y pyfunc - Español

Crea modelos personalizados con MLFlow utilizando Python Model y pyfunc. Aprende a guardar en el artifact store y realizar inferencias.

• YouTube
• 42 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps MLFlow - Integración con LlamaIndex en Español

Descubre cómo integrar LlamaIndex con MLFlow y OpenAI, explorando el seguimiento y gestión de modelos de lenguaje mediante la función Traces para optimizar tus proyectos de MLOps.

• YouTube
• 59 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLMOps MLflow - Evaluación de Respuestas LLM con MLflow

Descubre cómo evaluar efectivamente las respuestas de LLMs utilizando las capacidades integradas de MLflow, incluyendo implementación práctica y métricas de evaluación.

• YouTube
• 56 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLMOps MLflow - Document Classification with Fine-Tuning and Inference

Domina el fine-tuning de modelos LLM usando MLflow, desde la creación de clasificadores de documentos hasta la implementación con Docker y Azure DevOps para inferencia eficiente.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Building a Reproducible Model Workflow

Learn to build efficient, reproducible machine learning pipelines using MLflow, pytest, and Weights & Biases. Master data validation, experiment tracking, and model deployment for real-world ML projects.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Microcredential

MLOps | Machine Learning Operations

Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.

• Coursera
• 26 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

MLOps Tools: MLflow and Hugging Face

36 ratings at Coursera

Explore MLflow and Hugging Face for MLOps, covering model tracking, deployment, fine-tuning, and cloud integration. Gain practical skills in managing ML workflows and creating interactive demos.

• Coursera
• 1 day 1 hour 43 minutes
• On-Demand
• Free Online Course (Audit)

ML Pipelines on Google Cloud

85 ratings at Coursera

Learn to build, automate, and manage ML pipelines using TensorFlow Extended, Cloud Composer, and MLflow for efficient and scalable machine learning workflows on Google Cloud.

• Coursera
• 4 hours 30 minutes
• On-Demand
• Free Online Course (Audit)

Databricks

MLOps on Azure Databricks with MLflow

1 review

Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Full-Stack Deep Learning with Python

47 ratings at LinkedIn Learning

Increase your knowledge and get a hands-on understanding of full-stack deep learning with Python.

• LinkedIn Learning
• 1 hour 58 minutes
• On-Demand
• Free Trial Available

Pragmatic AI Labs

Spark, Hadoop, and Snowflake for Data Engineering

Gain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) and learn how to optimize them using Python, PySpark, and MLflow.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Getting Started with MLflow

29 ratings at Pluralsight

Efficiently delivering machine learning products is not easy, therefore good tools that support ML model development are needed. This course will teach you MLflow.

• Pluralsight
• 1 hour 22 minutes
• On-Demand
• Free Trial Available