Online or onsite, instructor-led live Reinforcement Learning training courses demonstrate through interactive hands-on practice how to create and deploy a Reinforcement Learning system.
Reinforcement Learning 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 Reinforcement Learning training can be carried out locally on customer premises in Montevideo or in NobleProg corporate training centers in Montevideo.
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Montevideo - La Cumparsita
1282 Ituzaingo Street, Montevideo, uruguay
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the ...
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the oldest part of the capital city of Montevideo, near the main square of Plaza Independencia. In recent years, this neighborhood (which for several decades was the country's political and economic center of the city) has undergone an impressive regeneration. Renowned for its art deco buildings, colonial houses and landmarks, including the neoclassical Solis Theater, it is also Uruguay's main port and home to the 'Mercado del Puerto', a former market and venue for traditional Uruguayan food and drink.
More than just a contemporary glass facade, this building impresses from the start with its double-height ceiling lobby and rooftop terrace, ideal for lazy lunches or networking evenings. Every workspace is flooded with natural light, from private offices to elegant meeting rooms and bustling common areas. Connect with our thriving community of like-minded professionals and soak up the entrepreneurial spirit. Best of all, getting here couldn't be easier: the Buenos Aires bus stop, Estación Central train station and Montevideo ferry terminal are just steps away.
Montevideo, World Trade Center III
Av. Luís Alberto Herrera y Av. Veintiséis de Marzo, Montevideo, uruguay
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-stor...
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-story renovated World Trade Center third tower and is situated in the vibrant, growing Buceo area. The building, which is connected to the other towers by a lively inner square, is close to the government and embassy district, as well as being next to Montevideo's shopping hub. The square, known as Plaza las Torres, includes famous sculptures. More than 200 companies are established at WTC Montevideo, mostly global banks, airlines and multinationals, alongside telecoms, financial and legal firms. Uruguay's workforce is well educated and boasts a high literacy rate. The country's main industries include beef exports, wool and leather, and it has a strong IT sector. The center is 30 minutes from the international airport, 10 minutes from the bus station and 20 minutes from the harbor.
This instructor-led, live training in Montevideo (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).By the end of this training, participants will be able to:
Understand the components and functionality of transformer models.
Optimize and fine-tune LLMs for specific tasks and applications.
Understand the core principles and methodologies of reinforcement learning.
Learn how reinforcement learning techniques can enhance the performance of LLMs.
This instructor-led, live training in Montevideo (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
Apply advanced Reinforcement Learning algorithms to solve real-world problems.
This instructor-led, live training in Montevideo (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets.
By the end of this training, participants will be able to:
Install and apply the libraries and programming language needed to implement Reinforcement Learning.
Create a software agent that is capable of learning through feedback instead of through supervised learning.
Program an agent to solve problems where decision making is sequential and finite.
Apply knowledge to design software that can learn in a way similar to how humans learn.
This instructor-led, live training in Montevideo (online or onsite) is aimed at data scientists who wish to create and deploy a Reinforcement Learning system, capable of making decisions and solving real-world problems within an organization.
By the end of this training, participants will be able to:
Understand the relationships and differences between Reinforcement Learning and machine learning, deep learning, supervised and unsupervised learning.
Analyze a real-world problem and redefine it as Reinforcement Learning problem.
Implementing a solution to a real-world problem using Reinforcement Learning.
Understand the different algorithms available in Reinforcement Learning and select the most suitable one for the problem at hand.
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