Master the skills in artificial intelligence using techniques and processes of deep reinforcement learning and neural networks.
Advanced AI: Deep Reinforcement Learning in Python certification course is designed by Lazy Programmer Inc. - artificial intelligence and machine learning engineer and its team which is presented by Udemy, an online learning platform, to assist students to succeed in their occupations.
Advanced AI: Deep Reinforcement Learning in Python online course focuses on the use of deep learning and neural networks in reinforcement learning. The course will teach about the TD Lambda algorithm to deepen the understanding of temporal difference learning, and a particular variety of neural networks called the RBF network, policy gradient method, and deep Q-Learning (DQN), and asynchronous advantage actor-critic (A3c).
Advanced AI: Deep Reinforcement Learning in Python syllabus is designed for individuals who are familiar with programming as this course comes with prerequisites such as college-level calculus, probability, object-oriented programming, python coding, Numpy coding, linear regression, gradient descent, writing ANNs and CNNs in Theano or TensorFlow, Markov decision processes (MDPs) and implement dynamic programming, Monte Carlo, and temporal difference learning to solve MDPs. The interested learners could enrol on the course by paying the fee.
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Udemy
After completing the Advanced AI: Deep Reinforcement Learning in Python certification course, candidates will get to know about reinforcement learning using RBF networks, policy gradient methods using neural networks, creating several deep learning agents like DQN and A3C. Candidates will also learn to solve problems using reinforcement learning techniques, Q-learning using deep neural networks and convolutional neural networks with deep Q-learning.
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