Learn Artificial Intelligence algorithms -- Reinforcement Learning in an easy way by developing AI games using Python
Sub Category
- Game Development
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Objectives
- Master Core Concepts: Gain a deep understanding of DP, Q-learning, deep Q-learning, and convolutional Q-learning.
- Develop Practical Skills: Implement and train models using TensorFlow and Keras.
- Solve Real-world Problems: Apply your knowledge to build agents that can solve complex tasks and games.
- Prepare for Advanced AI Roles: Equip yourself with the skills needed for careers in AI and machine learning.
Pre Requisites
- Beginner Level Python programming experience is required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)