Whether delivered online or on-site, our instructor-led live Reinforcement Learning training courses provide interactive, hands-on practice to help you effectively create and deploy Reinforcement Learning systems.
You can choose between "online live training" and "onsite live training". The online option, also known as "remote live training", utilizes an interactive remote desktop environment. Onsite training is available either locally at customer premises in Durban or at NobleProg corporate training centers in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level data scientists who wish 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.
Optimise 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 Durban (online or onsite) is designed for experienced machine learning engineers and AI researchers looking to utilise RLHF to fine-tune large AI models, thereby achieving enhanced performance, safety, and alignment.
Upon completion of this training, participants will be able to:
Grasp the theoretical underpinnings of RLHF and appreciate its critical role in contemporary AI development.
Develop reward models grounded in human feedback to steer reinforcement learning processes.
Fine-tune large language models using RLHF techniques to ensure outputs align with human preferences.
Apply industry best practices for scaling RLHF workflows to support production-grade AI systems.
This instructor-led, live training in Durban (online or onsite) targets advanced-level professionals seeking to deepen their understanding of reinforcement learning and its practical applications in artificial intelligence development using Google Colab.
Upon completion of this training, participants will be able to:
Grasp the fundamental principles underlying reinforcement learning algorithms.
Build reinforcement learning models employing TensorFlow and OpenAI Gym.
Create intelligent agents that acquire knowledge through trial and error.
Enhance agent performance by applying advanced methodologies such as Q-learning and deep Q-networks (DQNs).
Train agents within simulated environments leveraging OpenAI Gym.
Deploy reinforcement learning models for real-world scenarios.
This instructor-led training in Durban 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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