Live instructor-led Reinforcement Learning courses, available online or onsite, utilize interactive hands-on exercises to demonstrate the creation and deployment of Reinforcement Learning systems.
Training options include “online live” or “onsite live” formats. Online live sessions, also known as “remote live training,” are conducted via an interactive remote desktop. Onsite live training can be delivered directly at customer premises in Plovdiv or at NobleProg corporate training centers in Plovdiv.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (online or on-site) targets intermediate-level data scientists aiming to develop a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).
By the conclusion 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 Plovdiv, offered online or onsite, targets advanced machine learning engineers and AI researchers aiming to apply RLHF for the optimization of large AI models to achieve better performance, safety, and alignment.
By the end of the session, participants will be able to:
Comprehend the theoretical basis of RLHF and its significance in current AI advancement.
Create and utilize reward models based on human feedback to direct reinforcement learning.
Optimize large language models using RLHF techniques to match human preferences.
Apply best practices for scaling RLHF pipelines in production-grade AI systems.
This instructor-led live training in Plovdiv (online or onsite) is designed for advanced professionals looking to deepen their grasp of reinforcement learning and its practical applications in AI development using Google Colab.
By the end of the 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.
This instructor-led training in Plovdiv delves into the theoretical basis and practical application of Deep Reinforcement Learning with Python. Participants will construct and train DRL agents using TensorFlow or PyTorch, leveraging key algorithms like DQN and PPO to address complex real-world challenges.
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