Online Training
150 hours
Spanish
Educational institutions
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Multilingual support
Digital certificate included
Assistant Phia
- Understand the fundamentals of machine learning and its application in various productive sectors. - Analyze and extract the data structure using clustering techniques and their usefulness in decision making. - Design effective recommendation systems that optimize the user experience and increase satisfaction. - Implement classification algorithms to solve real problems and improve the accuracy of the models. - Develop neural network and deep learning models applied to practical cases in productive environments. - Evaluate and select election systems that facilitate decision making based on analytical data. - Apply model validation and optimization methodologies to ensure their performance in production.
- Data engineer specialized in Machine Learning - Data scientist focused on predictive analysis - Developer of personalized recommendation systems - Specialist in process optimization using clustering algorithms - Consultant in the implementation of neural networks and deep learning - Business analyst with knowledge of machine learning models - Responsible for artificial intelligence projects in productive environments
The Diploma course in Deployment of Machine Learning Models in Productive Environments prepares you to face complex challenges in the field of data analysis. You will learn to extract relevant structures, apply clustering techniques and develop effective recommender systems. Additionally, you will master classification and neural networks, allowing you to implement innovative solutions. Upon completion, you will have the ability to optimize processes and improve decision-making in your professional environment.
