Artificial Intelligence Algorithms. Example of Models

Artificial Intelligence Algorithms. Example of Models

Goals

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

Artificial Intelligence Algorithms. Example of Models

What it prepares you for

- Gain a comprehensive understanding of AI-based business technologies and learn how to optimally apply them in real-world situations with practical applications that help you excel in any industry.
- Analyze how intelligent algorithms are driving business success. As well as understand the specific applications that are transforming diverse industries.
- Take advantage of the skills that companies are looking for in today's professionals and make proposals through predictive models.

Artificial Intelligence Algorithms. Example of Models

Who is it addressed to?

For professionals and people interested in delving deeper into the world of artificial intelligence algorithms and predictive models. It is designed for people looking to acquire solid knowledge of technologies associated with the business, with special emphasis on machine learning and building 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 that will allow you to access all the course content and resources from any location and device. The course has a highly specialized teaching team, made up of education professionals with extensive experience and training in the analysis of teaching skills. They will accompany and guide you throughout the learning process, through personalized tutoring by phone, chat, email and even videoconference. The teaching method is completely multidisciplinary, as it combines different pedagogical approaches and strategies, such as:

- Theoretical content, where the fundamental concepts and principles of the analysis of teaching competencies will be presented, as well as the normative and reference frameworks that regulate them.
- Practical content, 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 teachers will reflect on their own teaching performance and on areas of strength and improvement, as well as on strategies to enhance them.
- Collaborative learning activities, where the exchange of experiences, opinions and proposals will be encouraged through forums.

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