Global Certificate in Reinforcement Learning Strategies: Smart Systems
-- viewing nowThe Global Certificate in Reinforcement Learning Strategies: Smart Systems is a comprehensive course designed to equip learners with essential skills in reinforcement learning (RL), a subfield of artificial intelligence (AI). This certification is crucial for professionals seeking to create data-driven decision-making systems and smart solutions in various industries, such as finance, manufacturing, gaming, and healthcare.
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Course Details
• Introduction to Reinforcement Learning Strategies
• Markov Decision Processes (MDPs)
• Q-Learning and State-Action Reward Tables
• Deep Q Networks (DQNs) and Neural Fitted Q
• Policy Gradients and REINFORCE Method
• Actor-Critic Methods in Reinforcement Learning
• Deep Deterministic Policy Gradient (DDPG)
• Proximal Policy Optimization (PPO)
• Reinforcement Learning Applications in Smart Systems
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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