Certificate in Practical Reinforcement Learning Skills

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The Certificate in Practical Reinforcement Learning Skills course is a comprehensive program designed to equip learners with essential skills in reinforcement learning (RL). This course is critical for professionals looking to stay updated with cutting-edge AI techniques and excel in their careers.

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AboutThisCourse

Reinforcement learning is a powerful AI technique that enables machines to learn through trial and error, leading to more informed decision-making. With the increasing demand for RL skills across industries, this course is more relevant than ever. Throughout this course, learners will gain hands-on experience with popular RL tools and frameworks, such as TensorFlow and OpenAI Gym. They will also learn how to implement RL techniques to solve complex real-world problems, such as game playing and robotics. By the end of this course, learners will have a solid understanding of RL principles and practical skills, making them highly valuable in today's data-driven job market.

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CourseDetails

โ€ข Introduction to Reinforcement Learning
โ€ข Markov Decision Processes (MDPs)
โ€ข Q-Learning and State-Action Reward Q-tables
โ€ข Deep Q Networks (DQNs)
โ€ข Policy Gradients and REINFORCE
โ€ข Advantage Actor Critic (A2C) Methods
โ€ข Proximal Policy Optimization (PPO)
โ€ข Deep Deterministic Policy Gradient (DDPG)
โ€ข Twin Delayed DDPG (TD3)

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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CERTIFICATE IN PRACTICAL REINFORCEMENT LEARNING SKILLS
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London School of International Business (LSIB)
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05 May 2025
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