Masterclass Certificate in Reinforcement Learning: Decision Making

Name: Masterclass Certificate in Reinforcement Learning: Decision Making
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The Masterclass Certificate in Reinforcement Learning: Decision Making is a comprehensive course that equips learners with essential skills in reinforcement learning, a subfield of artificial intelligence (AI) that deals with making optimal decisions in complex, uncertain environments. This course is crucial for professionals seeking to stay updated with cutting-edge AI technologies and methodologies, as reinforcement learning has gained significant attention in recent years due to its success in various industries, such as gaming, robotics, finance, and healthcare.

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AboutThisCourse

By completing this course, learners will acquire the skills to build and implement reinforcement learning models, analyze data, and make informed decisions based on that analysis. These skills are highly sought after in today's data-driven economy, making this course essential for career advancement in AI, data science, machine learning, and related fields. The course provides hands-on experience with industry-standard tools and techniques, enabling learners to apply their knowledge to real-world problems and demonstrate their expertise to potential employers.

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CourseDetails

• Introduction to Reinforcement Learning & Decision Making
• Markov Decision Processes (MDPs)
• Dynamic Programming for Reinforcement Learning
• Temporal Difference Learning
• Q-Learning & State-Action Value Functions
• Policy Gradients & Actor-Critic Methods
• Deep Reinforcement Learning & Deep Q-Networks
• Monte Carlo Tree Search & AlphaGo
• Multi-Agent Reinforcement Learning
• Applications & Case Studies in Reinforcement Learning

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BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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MASTERCLASS CERTIFICATE IN REINFORCEMENT LEARNING: DECISION MAKING

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London College of Foreign Trade (LCFT)

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05 May 2025

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