NobleProg delivers specialized Reinforcement Learning training in Leon, a hub of industrial and manufacturing excellence. Professionals in this region benefit from expert-led courses designed to enhance technical skills and drive innovation within the local business community.
These instructor-led live Reinforcement Learning courses, available both online and onsite, provide hands-on, interactive practice in building and deploying Reinforcement Learning systems.
Training options include "online live training" or "onsite live training." Online live training, also known as "remote live training," is delivered via an interactive remote desktop. Onsite live training can be conducted locally at your premises in Leon or at NobleProg’s corporate training centers in Leon.
NobleProg -- Your Local Training Provider
Leon - Torre San Mateo
Blvd. Campestre 2502 , Leòn, Mexico
Located in the Golden Zone of Leon Gto.
By public bus
León's public transport is the SIT/Optibús system. The city publishes current route and timetable information through its Mobility Department.
From León Centro: a practical option is to travel toward Terminal San Jerónimo, then continue toward the Campestre area.
Blvd. Campestre is served by local routes; for example, route L-02 runs along Boulevard Campestre and connects with Centro Histórico and San Jerónimo.
For the final part, you may need a short walk from the closest stop to No. 2502.
This instructor-led, live training in Leon (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 live, instructor-led session in Leon (online or on-site) is tailored for advanced machine learning engineers and AI researchers looking to apply RLHF for fine-tuning large AI models, aiming for superior performance, safety, and alignment.
By the conclusion of this training, participants will be able to:
Comprehend the theoretical basis of RLHF and its significance in modern AI development.
Construct reward models utilizing human feedback to direct reinforcement learning processes.
Optimize large language models using RLHF methods to align outputs with human preferences.
Implement best practices for scaling RLHF workflows for production-grade AI systems.
This live, instructor-led training in Leon (online or onsite) is designed for advanced professionals who want to expand their knowledge of reinforcement learning and its practical applications in AI development using Google Colab.
By the conclusion of this training, attendees 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.
This instructor-led training in Leon covers the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will build and train DRL agents with TensorFlow or PyTorch, applying key algorithms like DQN and PPO to solve complex real-world problems.
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