A 100% online Postgraduate certificate with which you will develop innovative solutions based on Artificial Intelligence. You’ll stand out in the field of robotics!"

A 100% online Postgraduate certificate with which you will develop innovative solutions based on Artificial Intelligence. You’ll stand out in the field of robotics!"

Industry 4.0 is completely revolutionizing organizational environments by deploying technologies such as Artificial Intelligence to automate its workflows. In this way, Smart Agents help institutions mechanize routine tasks, freeing employees to focus on more strategic or creative activities. In this way, these tools also entail additional benefits such as increasing operational efficiency and even reducing labor costs. Besides this, algorithms are useful to optimize business processes by identifying patterns, trends and opportunities for improvement in various areas (such as supply chain, logistics, marketing, etc.)

Given these circumstances, TECH launches a Postgraduate certificate in Intelligent Agents and Artificial Intelligence. Consisting of 150 teaching hours, its objective is to specialize students in the practical use of various techniques and algorithms of Artificial Intelligence (such as Artificial Neural Networks). For this, the academic itinerary will cover from the study of Brain-Algorithm Connections to the fundamentals of Machine Learning and Deep Learning. Throughout the curriculum, students will gain practical skills with which to nurture their programming processes. The syllabus will also delve into the technique of Probabilistic Inference, so that graduates model a wide range of situations, from image classification to weather prediction.

Moreover, the university program will strengthen the concepts through the teaching methodology of Relearning, created by TECH. In this way, students will gain or through reiteration a global mastery of their most advanced theoretical-practical applications. It should be noted that this program will not be subject to rigid schedules or continuous evaluation schedules. In this sense, it gives students the opportunity to self-manage their academic progress. To do this, they will only need a device connected to the Internet to access the Professional Campus and enjoy a comprehensive educational experience. 

Manage Reinforcement Learning Algorithms thanks to the best digital university in the world according to Forbes"  

The Postgraduate certificate in Intelligent Agents and Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include: 

• Case studies presented by experts in robotic engineering
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the 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

You will master the Kohonen Networks to perform unsupervised learning tasks such as data classification and clustering"

The program’s teaching staff includes professionals from the industry 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’ll apply Gaussian Filters to your Image Processing to smooth and eliminate noise in your visuals"

Through the TECH Relearning system you will learn at your own pace without relying on external factors such as travel to study centers"

This university program, consisting of 150 teaching hours, will provide students with a solid understanding of Intelligent Agents and Artificial Intelligence. Through a theoretical-practical approach, the curriculum will focus on aspects such as Robotics and the connections between the brain and algorithms. At the same time, the syllabus will highlight the importance of Artificial Neural Network techniques for robots to perceive their environment, make autonomous decisions and interact effectively with humans. Likewise, the didactic materials will analyze in detail the Probabilistic Inference procedure for these machines to reason probabilistically about uncertain environments.

You will achieve professional success as a Robotics Engineer thanks to this university program, with an approximate duration of only 150 hours" 

Module 1. Intelligent Agents. Applying Artificial Intelligence to Robots and Softbots

1.1. Intelligent Agents and Artificial Intelligence

1.1.1. Intelligent Robots. Artificial Intelligence
1.1.2. Intelligent Agents

1.1.2.1. Hardware Agents. Robots
1.1.2.2. Software Agents. Softbots

1.1.3. Robotics Applications

1.2. Brain-Algorithm Connection

1.2.1. Biological Inspiration of Artificial Intelligence 
1.2.2. Reasoning Implemented in Algorithms. Typology
1.2.3. Explainability of Results in Artificial Intelligence Algorithms
1.2.4. Evolution of Algorithms up to Deep Learning

1.3. Search Algorithms in the Solution Space

1.3.1. Elements in Solution Space Searches
1.3.2. Solution Space Search Algorithms in Artificial Intelligence Problems
1.3.3. Applications of Search and Optimization Algorithms
1.3.4. Search Algorithms Applied to Machine Learning

1.4. Machine Learning 

1.4.1. Machine Learning
1.4.2. Supervised Learning Algorithms
1.4.3. Unsupervised Learning Algorithms
1.4.4. Reinforcement Learning Algorithms

1.5. Supervised Learning

1.5.1. Supervised Learning Methods 
1.5.2. Decision Trees for Classification
1.5.3. Support Vector Machines
1.5.4. Artificial Neural Networks
1.5.5. Applications of Supervised Learning

1.6. Unsupervised Learning 

1.6.1. Unsupervised Learning
1.6.2. Kohonen Networks
1.6.3. Self-Organizing Maps
1.6.4. K-Means Algorithm

1.7. Reinforcement Learning 

1.7.1. Reinforcement Learning
1.7.2. Agents Based on Markov Processes
1.7.3. Reinforcement Learning Algorithms
1.7.4. Reinforcement Learning Applied to Robotics

1.8. Artificial Neural Networks and Deep Learning 

1.8.1. Artificial Neural Networks. Typology
1.8.2. Applications of Neural Networks
1.8.3. Transformation from Machine Learning to Deep Learning
1.8.4. Deep Learning Applications

1.9. Probabilistic Inference

1.9.1. Probabilistic Inference
1.9.2. Types of Inference and Method Definition
1.9.3. Bayesian Inference as a Case Study
1.9.4. Nonparametric Inference Techniques
1.9.5. Gaussian Filters

1.10. From Theory to Practice: Developing a Robotic Intelligent Agent 

1.10.1. Inclusion of Supervised Learning Modules in a Robotic Agent
1.10.2. Inclusion of Reinforcement Learning Modules in a Robotic Agent
1.10.3. Architecture of a Robotic Agent Controlled by Artificial Intelligence
1.10.4. Professional Tools for the Implementation of the Intelligent Agent
1.10.5. Phases of the Implementation of AI Algorithms in Robotic Agents

This academic itinerary is exclusive to TECH and you will be able to develop it at your own pace thanks to its 100% online Relearning methodology"