Fortaleza - Meireles

Edifício Etevaldo Nogueira Business Tower, 807 Dom Luis Avenue, 20th and 21st floor, Fortaleza, Brazil, 60160-230

The Fortaleza Center It is located on the 20th and 21st floors of the Etevaldo Nogueira Business tower building his standout business address is strategically positioned in the Dom Luis Avenue - one of the main commercial corridors of the city. Pinto Martins international airport is just a short drive away.

Fortaleza - Etevaldo Nogueira Building

Dom Luis Av., 807 Fortaleza Ceará , Fortaleza, Brazil, 60160-230

Create a strong foundation for your business in the heart of Fortaleza with our prime office spaces. Situated in the bustling commercial and financial hub of Meireles, the Etevaldo Nogueira Building offers convenient access to burgeoning business prospects. Astound your guests with the building’s remarkable architecture and breathtaking city vistas. During your leisure time, immerse yourself in the rich cultural heritage of the area at the Dragão do Mar Center of Art and Culture, a renowned attraction for both tourists and locals alike.

Explore Our Courses

Large Language Models (LLMs) and Reinforcement Learning (RL)

 21 Hours
This instructor-led, live training in Fortaleza (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.
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Reinforcement Learning with Google Colab

 28 Hours
This instructor-led, live training in Fortaleza (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab. By the end of this training, participants will be able to:
  • Understand the core concepts of reinforcement learning algorithms.
  • Implement reinforcement learning models using TensorFlow and OpenAI Gym.
  • Develop intelligent agents that learn through trial and error.
  • Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
  • Train agents in simulated environments using OpenAI Gym.
  • Deploy reinforcement learning models for real-world applications.
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Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

 14 Hours
This instructor-led, live training in Fortaleza (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to apply RLHF to fine-tune large AI models for superior performance, safety, and alignment.By the end of this training, participants will be able to:
  • Understand the theoretical foundations of RLHF and why it is essential in modern AI development.
  • Implement reward models based on human feedback to guide reinforcement learning processes.
  • Fine-tune large language models using RLHF techniques to align outputs with human preferences.
  • Apply best practices for scaling RLHF workflows for production-grade AI systems.
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led, live training in Fortaleza (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.
  • Build a Deep Learning Agent.
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Fundamentals of Reinforcement Learning

 21 Hours
This instructor-led, live training in Fortaleza (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.
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Upcoming Courses

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

2025-06-30 09:30
14 hours
Fortaleza - Meireles
$ 20883 (Online)
$ 21183 (Classroom)

Reinforcement Learning with Google Colab

2025-07-14 09:30
28 hours
Fortaleza - Etevaldo Nogueira Building
$ 39713 (Online)
$ 40273 (Classroom)

Deep Reinforcement Learning with Python

2025-07-28 09:30
21 hours
Fortaleza - Meireles
$ 42100 (Online)
$ 42550 (Classroom)

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