Delivered either online or onsite, these instructor-led live Reinforcement Learning training courses use interactive, hands-on exercises to show how to design and deploy a Reinforcement Learning system.
Reinforcement Learning training is offered as "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted through an interactive remote desktop. Onsite live training can take place locally at customer premises in Gaia or at NobleProg corporate training centers in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This instructor-led live training in Gaia (online or on-site) is targeted at intermediate-level data scientists seeking to acquire a comprehensive grasp and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).
By the conclusion of this training, participants will be capable of:
Understanding the structure and operation of transformer models.
Optimizing and fine-tuning LLMs for specific tasks and use cases.
Grasping the core principles and methodologies of reinforcement learning.
Learning how reinforcement learning techniques can boost LLM performance.
This live, instructor-led course in Gaia, offered online or onsite, caters to advanced machine learning engineers and AI researchers looking to apply RLHF for fine-tuning large AI models to achieve enhanced performance, safety, and alignment.
By the conclusion of the training, participants will have the capability to:
Comprehend the theoretical basis of RLHF and its necessity in modern AI contexts.
Create reward models based on human input to direct reinforcement learning.
Use RLHF techniques to adjust large language models so that their outputs align with human expectations.
Employ best practices for expanding RLHF pipelines for production-ready AI systems.
This instructor-led, live training in Gaia (online or onsite) is designed for advanced professionals wishing to expand their understanding of reinforcement learning and its practical applications in AI development using Google Colab.
By the conclusion of this training, participants will be able to:
Comprehend 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 agent 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 live, instructor-led training in Gaia explores both the theoretical basis and practical execution of Deep Reinforcement Learning using Python. Attendees will learn to construct and train DRL agents with TensorFlow or PyTorch, applying critical algorithms such as DQN and PPO to address intricate real-world challenges.
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