Online or onsite, instructor-led live Reinforcement Learning training courses demonstrate through interactive hands-on practice how to create and deploy a Reinforcement Learning system.
Reinforcement Learning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Reinforcement Learning training can be carried out locally on customer premises in Katowice or in NobleProg corporate training centers in Katowice.
NobleProg -- Your Local Training Provider
Katowice
Centrum Szkoleniowe Moniuszki 7, Moniuszki 7, Katowice, Poland, 40-004
The training room is located in the heart of Katowice. Its attractive location in the city center guarantees easy access for all participants. The main railway station is just 500 meters away from our venue, and bus and tram stops are only 100 meters away. Additionally, it has excellent connections to the outbound route towards the A4 motorway to Krakow - Wroclaw and Pyrzowice Airport, making it an ideal venue for participants arriving from various parts of Poland and abroad.
This instructor-led, live training in Katowice (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 Katowice (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Katowice (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.
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, live training in Katowice (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.
This instructor-led, live training in Katowice (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.
Read more...
Last Updated:
Testimonials (1)
The training level was high. The instructor was not afraid to use mathematical formalisms.
Online Reinforcement Learning training in Katowice, Reinforcement Learning training courses in Katowice, Weekend Reinforcement Learning courses in Katowice, Evening Reinforcement Learning training in Katowice, Reinforcement Learning instructor-led in Katowice, Reinforcement Learning on-site in Katowice, Reinforcement Learning boot camp in Katowice, Online Reinforcement Learning training in Katowice, Evening Reinforcement Learning courses in Katowice, Weekend Reinforcement Learning training in Katowice, Reinforcement Learning trainer in Katowice, Reinforcement Learning instructor in Katowice, Reinforcement Learning coaching in Katowice, Reinforcement Learning one on one training in Katowice, Reinforcement Learning private courses in Katowice, Reinforcement Learning instructor-led in Katowice, Reinforcement Learning classes in Katowice
