Professional Certificate in Reinforcement Learning Essentials: Smart Systems

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The Professional Certificate in Reinforcement Learning Essentials: Smart Systems course is a comprehensive program designed to equip learners with essential skills in reinforcement learning. This field is crucial for developing smart systems that can make autonomous decisions based on reward feedback mechanisms.

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AboutThisCourse

In today's data-driven world, there is increasing industry demand for professionals who can harness the power of reinforcement learning. This certificate course is designed to meet that demand, providing learners with a solid foundation in the concepts, algorithms, and applications of reinforcement learning. By the end of this course, learners will have a deep understanding of how reinforcement learning can be used to build intelligent systems. They will be able to apply this knowledge in real-world scenarios, making them highly valuable to employers in industries such as finance, healthcare, gaming, and robotics. Invest in this course to boost your career prospects and stay ahead in the competitive world of artificial intelligence and machine learning.

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CourseDetails

• Introduction to Reinforcement Learning
• Markov Decision Processes (MDPs)
• Q-Learning and State-Action Reward Q-tables
• Deep Q Networks (DQNs)
• Policy Gradients and REINFORCE
• Actor-Critic Methods
• Proximal Policy Optimization (PPO)
• Deep Deterministic Policy Gradients (DDPG)
• Multi-Agent Reinforcement Learning

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
  • OpenEnrollmentStartAnytime
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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PROFESSIONAL CERTIFICATE IN REINFORCEMENT LEARNING ESSENTIALS: SMART SYSTEMS
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London College of Foreign Trade (LCFT)
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05 May 2025
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