Online or onsite, instructor-led live MLflow training courses demonstrate through interactive hands-on practice how to use MLflow for streamlining and managing the machine learning lifecycle.
MLflow training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live MLflow trainings in Salvador can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Salvador-Suarez Trade
Av. Tancredo Neves, 450 - Caminho das Árvores, Salvador, Brazil, 41819-900
The Salvador Suarez Trade Center office space is situated on the 16th floor of a 34-story granite blue glass skyscraper, located on a main road through the financial district. Salvador is the second most popular tourist destination in Brazil. National and international real estate developers are investing in the expansion of the city, and construction is one of the most important commercial activities. The city is also attracting major global companies, creating oil plants, car factories and chemicals near Salvador. The port plays a key role in local trade, especially for the transport of agricultural products from the surrounding region. The city is popular for conferences. Salvador Suarez Trade Center has a fully equipped auditorium, a lan house and its own parking lot, and is near one of the city's main shopping centers. You can easily reach the international airport and other transport links.
Salvador - Mundo Plaza Centre
Avenue Tancredo Neves, 620 , Salvador , Brazil, 41820-901
Discover the ideal headquarters in this city, known for its business opportunities and as a sought-after tourist spot. Nestled in one of the most vibrant neighborhoods, the recently constructed Mundo Plaza Centre seamlessly blends modern architecture with lush greenery, providing you with an appealing work setting.
Be inspired by the stunning vistas from this airy and expansive office space. And after a productive day, immerse yourself in the finest accommodations, boutiques, and cultural offerings that Salvador has to offer.
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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the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
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