This Master’s degree in Artificial Intelligence (AI) has been designed to respond to the new needs for knowledge and training that have arisen in this field due to the increase in AI models, algorithms and companies that focus on this field. In fact, the AI sector is expected to have a global business volume of about 16 trillion dollars by 2030. Likewise, many companies specialized in the search and selection of professional profiles point to AI as one of the knowledge assets that will be more most demanded in the coming years.
This program has been conceived to benefit all professional profiles, since it will start from AI basics, which will not require extensive prior knowledge of programming and statistics (although a basic knowledge will be necessary). It has been structured in two large sections: first, a technical section which explores the main Machine Learning and Deep Learning models and algorithms. The second section addresses its business applications and implications. Upon completion of the program, the students will have the necessary skills to manage and promote AI projects with an organization.
MODULE I: INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)
MODULE II: PREPARATION OF SELF-SERVICE EXCEL, TALEND AND TRIFACTA DATA
MODULO III: DATA MINING, MACHINE LEARNING AND DEEP LEARNING
MODULE IV: ADVANCED DEEP LEARNING
MODULE V: DATA VISUALIZATION TOOLS
MODULE VI: MACHINE LEARNING, DEEP LEARNING AND DATA SCIENCE PRACTICAL APPLICATIONS
MODULE VII: TECHNOLOGY ECOSYSTEMS
MODULE VIII: IDEATION METHODOLOGIES AND TECHNIQUES AND AI PROJECT MANAGEMENT
MODULE IX: AI IMPACT ON A BUSINESS
MODULE X: FINAL PROJECT
The program is subject to possible variations/updates of the contents to improve their quality.
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