Improve your skills on Markov Decision Processes or Q-Learning Parameter Optimization, thanks to TECH, the world's largest digital university”

Reinforcement Learning is considered one of the most promising fields of artificial intelligence for the future. The ability to learn on its own from a machine is increasingly important in a world where the volume of data is constantly increasing and the speed of decision making is crucial.

For this reason, TECH has designed a postgraduate certificate in Reinforcement Learning with which it seeks to provide students with the necessary skills and competencies to be able to perform their work as specialists, with the highest possible quality in their jobs. Thus, throughout this program, aspects such as Markov Decision Process Models, Reinforcement Learning Algorithms, Policy Gradients or the OpenAI Gym Environment will be addressed.

All this, through a convenient 100% online mode that allows students to organize their schedules and studies, combining them with their other interests. In addition, this degree has the most complete theoretical and practical materials on the market, which facilitates the student's study process and allows him/her to reach their most demanding objectives

Become an expert in Reinforcement Learning in only 6 weeks and with total freedom of organization”

This postgraduate certificate in Reinforcement Learning contains the most complete and up-to-date educational program on the market. The most important features include:

• The development of case studies presented by experts in Reinforcement learning
• The graphic, schematic and practical contents of the program provide Sports and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Improve your professional profile to the maximum and achieve success in one of the most promising areas in the IT field, thanks to TECH”

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. This will be done with the help of an innovative system of interactive videos made by renowned experts.

Delve into Deep Learning Policies and Reward Learning Algorithms from the comfort of your home at any time of the day"

Access all the content on Evaluating a Reinforcement Learning Algorithm from your Tablet, mobile or computer"

The final objective of this postgraduate certificate in Reinforcement Learning is that the student acquires an optimal update of their knowledge in this area. An update that will allow the student to perform their work with the highest possible Efficacy. All this, thanks to TECH and a 100% online modality that gives total freedom of organization and schedules to the student.All this, thanks to TECH and a 100% online modality that gives total freedom of organization and schedules to the student.

Enroll now and delve into all the essentials of Reinforcement Learning, from the comfort of your home or work office”

General Objectives

• Fundamentalize the key concepts of mathematical functions and their derivatives
• Apply these principles to deep learning algorithms to learn automatically
• Examine the key concepts of Supervised Learning and how they apply to neural network models
• Analyze the training, evaluation and analysis of neural network models
• Fundamentals of the key concepts and main applications of deep learning
• Implement and optimize neural networks with Keras
• Develop expertise in the training of deep neural networks
• Analyze the optimization and regularization mechanisms required for deep neural network training

Specific Objectives

• Use gradients to optimize an agent's policy
• Evaluate the use of neural networks to improve the accuracy of an agent when making decisions
• Implement different boosting algorithms to improve the performance of an agent

Exceed your highest expectations, thanks to a unique program with the most comprehensive theoretical and practical materials in the academic market”