Porto

NobleProg Porto, Av. da Boavista 1466, Porto, portugal, 4100-114

Our Venue is located on the city center of Porto, well connect by public transportation, with easy access by car with many options of parking places around the area. Surrounded by a large number of restaurants and commercial centres.

Four Points by Sheraton Matosinhos

188, Rua Sousa Aroso 188, 4450-286 Matosinhos, Matosinhos, Portugal, 4450-286 Matosinhos

Whether you travel for business, leisure or bleisure, Four Points by Sheraton Matosinhos welcomes you with four-star comfort, outstanding service and an ideal location in the city. The hotel offers a wide variety of facilities and services including a business center. Matosinhos beach is only 5 minutes walking distance from the hotel, perfect for surfing and other water sports. As a fishing area, local restaurants offer you the most wonderful fresh fishes and sea food for your delight.

Holiday Inn Porto - Gaia

220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal

Hotel Central Parque

83, Av. Visc. de Barreiros 83, 4470-151 Maia, Maia, Portugal, 4470-151 Maia

Hotel Central Parque **** is located in the center of the city of Maia, due to its proximity to Francisco Sá Carneiro Airport, Zona Industrial da Maia, Exponor Matosinhos, the metro station and the main highways, it becomes the place ideal for your stay.

Explore Our Courses

MLflow

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process. By the end of this training, participants will be able to:
  • Install and configure MLflow and related ML libraries and frameworks.
  • Appreciate the importance of trackability, reproducability and deployability of an ML model
  • Deploy ML models to different public clouds, platforms, or on-premise servers.
  • Scale the ML deployment process to accommodate multiple users collaborating on a project.
  • Set up a central registry to experiment with, reproduce, and deploy ML models.
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Testimonials (1)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

Provisional Upcoming Courses (Contact Us For More Information)

MLflow

2025-06-02 09:30
21 hours
Porto

MLflow

2025-06-16 09:30
21 hours
Porto

MLflow

2025-06-30 09:30
21 hours
Porto

MLflow

2025-07-14 09:30
21 hours
Porto

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