"This reinforcement learning course was incredible. The combination of theory and hands-on coding made complex concepts easy to understand. Building autonomous agents in simulation environments was challenging but highly rewarding. I now feel confident applying RL in real projects."
This course provides an in-depth, practical introduction to reinforcement learning (RL) and autonomous AI systems. Learners explore how AI agents make decisions, optimise actions, and learn from feedback in dynamic environments. The course combines theory, hands-on coding, and real-world projects, covering algorithms such as Q-learning, policy gradients, and actor-critic methods. Participants gain experience designing RL agents, simulating environments, and applying autonomous decision-making to robotics, finance, gaming, and other real-world scenarios. By the end, learners will have the skills to implement intelligent, adaptive systems and develop advanced AI applications.
Module 1: Foundations of Reinforcement Learning
Learners begin by understanding the core concepts of RL, including agents, environments, rewards, states, and actions. This module covers the theory behind Markov Decision Processes (MDPs), exploration vs exploitation, and value-based methods such as Q-learning. Hands-on exercises allow learners to implement basic RL algorithms in Python and observe agent behaviour in simulated environments.
Module 2: Advanced Algorithms & Techniques
This module introduces advanced reinforcement learning methods, including policy gradients, actor-critic algorithms, and deep reinforcement learning using neural networks. Learners work with frameworks such as TensorFlow, PyTorch, and OpenAI Gym to train agents in complex environments, gaining practical experience in algorithm selection, tuning, and performance evaluation.
Module 3: Autonomous Systems & Real-World Applications
Learners apply reinforcement learning to build autonomous systems capable of adaptive decision-making. The module covers integration with robotics, simulation environments, and AI-driven decision systems. Participants also learn best practices for deploying RL agents, managing safety and reliability, and scaling systems for real-world applications in industries like robotics, gaming, finance, and aerospace.
This course is designed for AI developers, software engineers, data scientists, and technically-minded professionals seeking to specialise in reinforcement learning and autonomous systems. It is also suitable for students and career changers interested in building intelligent agents and adaptive AI solutions.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attendees gain practical skills to design, implement, and deploy reinforcement learning agents in real-world scenarios. The hands-on approach ensures learners understand both the theory and application of RL, empowering them to develop autonomous systems capable of decision-making in dynamic environments.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning provides expert-led, hands-on training in reinforcement learning and autonomous systems. Our courses focus on real-world applications, offering mentorship, practical exercises, and exposure to industry-standard tools and frameworks. Learners gain immediately applicable skills that prepare them for high-demand AI roles across robotics, defence, finance, and advanced technology sectors.
