The Machine Learning Engineer Courses

ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks - Spanish

Aprende a utilizar OpenAI GPT-4 como revisor de código, encapsulándolo en un modelo Python de MLflow para implementarlo en una pipeline de Databricks.

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

ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks

Explore LLMOps, MLFlow, and Databricks for advanced machine learning operations. Master transformers and enhance your data science skills.

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

ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish

Aprende LLMOps con MLFlow y Databricks: implementa y gestiona modelos de lenguaje a gran escala utilizando herramientas de vanguardia en español.

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

ML and MLOps: Databricks Secrets and Integration with Azure KeyVault

Explore Databricks Secrets and Azure KeyVault integration for secure ML & MLOps workflows in data science and machine learning projects.

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

ML and MLOps Databricks: Secrets Scope and Azure KeyVault Integration - Spanish

Aprende a integrar Databricks Secrets con Azure KeyVault para gestionar de forma segura las credenciales en proyectos de Machine Learning y MLOps.

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

ML and MLOps with Databricks: LLMs and HuggingFace Transformers

Explore LLMs using HuggingFace Transformers for summarization, translation, sentiment analysis, and advanced prompting techniques on Databricks.

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

ML and MLOps with Databricks: LLMs Using HuggingFace Transformers - Spanish

Explora LLMs con HuggingFace Transformers en Databricks: summarization, traducción, análisis de sentimientos, zero-shot y few-shot prompting.

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

Microsoft Phi3 Mini 4K Instruct - Chain of Thought Prompting Test

Explore Microsoft Phi3 Mini 4K's Chain of Thought prompting capabilities through practical tests, comparing results with other models like LLama2, Mistral 7B, and LLama3 8B.

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

Microsoft Phi3 Mini 4K Instruct - Chain of Thought Prompting Test en Español

Explora pruebas de prompts de Cadena de Pensamiento con Microsoft Phi3 Mini 4K, comparando con otros modelos y técnicas de ajuste fino para razonamiento mejorado.

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

MLOps MLFlow: Deployment Server - Managing and Using Multiple LLMs

Install and utilize MLflow Deployment Server to manage multiple LLMs, including OpenAI, Anthropic, and Langchain. Enhance your MLOps skills for efficient model deployment.

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

MLOps MLFlow: Deployment Server and Front-End for Interacting with Multiple LLMs

Aprende a instalar y utilizar MLFlow Deployment Server para interactuar con múltiples LLMs, incluyendo OpenAI, Anthropic y Langchain. Demostración práctica y código disponible.

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

MLOps MLFlow: MLflow Projects with PySpark Docker Environments

Explore MLflow Projects with PySpark in Docker, utilizing Databricks for artifact storage and tracking in MLOps workflows.

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

MLOps MLFlow: Mlflow Projects with PySpark Docker Environment and MLflow

Aprende a utilizar MLflow Projects con entornos Pyspark y Docker para gestionar flujos de trabajo de aprendizaje automático de manera eficiente y reproducible.

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

MLFlow Projects: Dockerized Environments in MLflow

Explore MLflow projects using Docker environments and Databricks for artifact repository and tracking in MLOps workflows.

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

MLOps MLFlow: MLFlow Projects - Dockerized Environments and MLflow in Spanish

Aprende a crear pipelines de ejecución con MLflow Projects, utilizando Docker y Databricks para logging y tracking en entornos de Machine Learning.

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