Experience comprehensive, instructor-led Reinforcement Learning training through either online or onsite live sessions. These courses focus on interactive, hands-on exercises designed to teach you how to build and deploy effective Reinforcement Learning systems.
We offer this training in two formats: online live training or onsite live training. The online option, also known as remote live training, utilizes an interactive remote desktop for seamless engagement. Onsite live training is available directly at your customer premises in Bangkok or at NobleProg’s corporate training centers in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This instructor-led, live training in Bangkok (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 Bangkok (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.
This live, instructor-led training in Bangkok (online or onsite) is designed for advanced professionals seeking to enhance their expertise in reinforcement learning and its application in AI development using Google Colab.
Following this training, participants will be prepared to:
Master the fundamental concepts of reinforcement learning algorithms.
Construct reinforcement learning models using TensorFlow and OpenAI Gym.
Develop intelligent agents that improve through iterative trial and error.
Refine agent performance using advanced techniques like Q-learning and deep Q-networks (DQNs).
Train agents within simulated environments via OpenAI Gym.
Implement reinforcement learning models in practical, real-world scenarios.
This instructor-led course in Bangkok delves into the theoretical concepts and practical application of Deep Reinforcement Learning using Python. Learners will develop and train DRL agents using TensorFlow or PyTorch, applying essential algorithms like DQN and PPO to address complex, real-world challenges.
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