Artificial intelligence algorithms. Example of models

Artificial intelligence algorithms. Example of models

Goals

- Distinguish automatic learning types to build predictive models based on artificial intelligence, knowing the numerous algorithms and algorithms sets that can be used.
- Discover different predictive models, learning the operation of an automatic learning platform.

Artificial intelligence algorithms. Example of models

What prepares you

- Acquire a complete understanding of business technologies based on AI and learn to apply them optimally in real world situations with practical applications that help stand out in any sector.
- Analyze how smart algorithms are promoting business success. As well as understanding the specific applications that are transforming diverse industries.
- Enjoy the skills that companies are looking for in current professionals and propose proposals through predictive models.

Artificial intelligence algorithms. Example of models

Who is it addressed

To professionals and people with interest to deepen the world of artificial intelligence algorithms and predictive models. It is designed for people who seek to acquire solid knowledge about technologies associated with the company, with special emphasis on automatic learning and the construction of AI models.

Artificial intelligence algorithms. Example of models

Methodology

The course methodology is based on 100%online learning, through the Aula_Smart virtual campus, an innovative and easy -to -use platform, which will allow you to access all the contents and resources of the course from anywhere and device. The course has a highly specialized teaching team, formed by education professionals with extensive experience and training in the analysis of teaching skills. They will accompany you and guide you throughout the learning process, through personalized tutorials, chat, email and even videoconference. The teaching method is totally multidisciplinary, since it combines different pedagogical approaches and strategies, such as:

- Theoretical contents, where the fundamental concepts and principles of the analysis of the teaching skills will be presented, as well as the normative and reference frameworks that regulate them.
- Practical contents, where theoretical knowledge will be applied to real or simulated cases of educational practice, using tools and methodologies to evaluate and develop teaching skills.
- Self -assessment activities, where you will reflect on the teaching performance itself and on the areas of strength and improvement, as well as on the strategies to enhance them.
- Collaborative learning activities, where the exchange of experiences, opinions and proposals through forums will be promoted.

In this way, the course methodology offers you dynamic, participatory and adapted training to your needs and interests, which prepares you to be a competent and effective teacher, capable of adapting to the demands and challenges of current education.