The Machine Learning Engineer Courses

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

ML and MLOps Databricks: REST API v2 for Data Science and Machine Learning

Domina la API REST v2 de Databricks para optimizar flujos de trabajo de ML y MLOps, mejorando la eficiencia en ciencia de datos y aprendizaje automático.

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

ML y MLOPS Databricks - REST API v2 en Español

Domina la API REST v2 de Databricks para ML y MLOps. Aprende a automatizar tareas, gestionar clústeres y optimizar flujos de trabajo en ciencia de datos.

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

Deploy Applications to GCP: Firewall Rules and Networking

Explore GCP firewall rules and networking for secure application deployment, focusing on essential configurations and best practices.

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

Desplegar Aplicaciones en GCP: Reglas de Firewall y Networking - Español

Aprende a crear reglas de firewall y configurar redes en Google Cloud Platform para proteger y acceder a tus servicios desplegados.

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

MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning

Optimize XGBoost models using Databricks, MLflow, and Optuna for efficient hyperparameter tuning and improved machine learning workflows.

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