With this 100% online postgraduate certificate, you will develop in your work the most innovative Reinforcement Learning algorithms, solving real-world problems in fields such as process control"

In order to provide high quality goods or services, experts need to have at their fingertips mechanisms to explore their operation and evaluate both their performance and efficiency. In this sense, the creation of OpenAI environments provides an accessible framework for them to develop, test and compare intelligent algorithms. Such platforms facilitate experimentation by providing simulations of real-world scenarios where AI agents can interact and learn. As a result, specialists can train systems such as autonomous vehicles or drones before their market launch.

In this context, TECH is launching a pioneering program in Reinforcement Learning. Through it, students will gain practical skills to develop the most efficient algorithms and apply Neural Network Policies optimally to their projects. The curriculum will delve into issues ranging from reward optimization to action evaluation and gradient optimization. At the same time, the syllabus will delve into Markov Decision Processes in order for the graduates to solve sequential decision making problems under uncertainty frameworks.  In addition, the program will include case studies that will enhance the students' skills in aspects such as the construction of Deep Neural Networks for Deep Q-Learning.

The university program will be based on the revolutionary Relearning methodology, of which it is a pioneer. This teaching system consists of the continuous reiteration of the most important concepts, allowing students to consolidate them in an agile and natural way. In this way, it will not be necessary for them to invest long hours of study or resort to arduous traditional techniques such as memorization. Undoubtedly, a unique opportunity to study a program in comfort. All that is required is students to have a device with Internet access to view the content at any time of the day, hosted in the Virtual Campus. 

Optimize Q-Learning parameters at the world's best digital university according to Forbes”

This postgraduate certificate in Reinforcement Learning contains the most complete and up-to-date 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 the self-assessment process can be carried out 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

Looking to delve deeper into Markov Decision Processes?  Master this mathematical framework with this university program in only 6 weeks”

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

The 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 immersive education programmed to learn in real situations. 

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will enrich your practice with the most advanced Reward Learning Algorithms and specialize agents to make optimal decisions in dynamic environments"

With TECH's Relearning system you will have a natural and flexible intellectual growth. Forget about investing long hours of study!"

Thanks to this complete and updated knowledge, graduates will have a broad understanding of Reinforcement Learning. In this sense, they will be able to incorporate cutting-edge procedures such as Markov Decision Processes or Neural Network optimization methods into their daily practice. In addition, they will obtain new skills to get the most out of the OpenAI platforms and to interact with simulations of real-world environments. In this way, professionals will skillfully test and evaluate Artificial Intelligence algorithms in controlled or reproducible situations. Likewise, specialists will propose highly innovative solutions to stand out in booming sectors. 

You will develop practical skills to apply the theoretical concepts learned to real-world problems in a variety of fields, such as robotics or video games”

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
• Implement and optimize neural networks with Keras
• Develop expertise in the training of deep neural networks

Specific Objectives

• Use gradients to optimize an agents 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
• Analyze the optimization and regularization mechanisms required for Neural deep neural network training

Case studies and explanatory videos will bring you productively closer to the creation of OpenAI environments"