Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
The concepts and fundamentals of reinforcement learning
The main algorithms including Q-Learning, SARSA as well as Deep Q-Learning.
How to formulate a problem in the context of reinforcement learning and MDP.
Apply the learned techniques to some hands-on experiments and real world projects.
Develop artificial intelligence applications using reinforcement learning.
This comprehensive Deep Reinforcement Learning: Hands-on AI Tutorial in Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Deep Reinforcement Learning: Hands-on AI Tutorial in Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Mehdi Mohammadi
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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