Professional Certificate in Reinforcement Learning Frameworks: High-Performance
-- viewing nowThe Professional Certificate in Reinforcement Learning Frameworks: High-Performance course is a comprehensive program designed to equip learners with essential skills in reinforcement learning (RL), a subfield of artificial intelligence (AI) that deals with decision-making algorithms. This course is crucial for professionals looking to advance their careers in AI, data science, or machine learning.
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Course Details
• Unit 1: Introduction to Reinforcement Learning Frameworks
• Unit 2: Overview of High-Performance Reinforcement Learning
• Unit 3: TensorFlow Agents: An Open-Source Framework for Reinforcement Learning
• Unit 4: Stable Baselines: A Reinforcement Learning Library with Stable Implementations
• Unit 5: Ray RLlib: A High-Performance Framework for Reinforcement Learning
• Unit 6: Implementing Deep Q-Networks using Reinforcement Learning Frameworks
• Unit 7: Implementing Policy Gradients using Reinforcement Learning Frameworks
• Unit 8: Advanced Reinforcement Learning Techniques: Monte Carlo Tree Search and Prioritized Experience Replay
• Unit 9: Scaling Reinforcement Learning Algorithms using High-Performance Frameworks
• Unit 10: Real-World Applications of High-Performance Reinforcement Learning Frameworks
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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