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Temario

UNIT 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE

UNIT 2. TYPES OF ARTIFICIAL INTELLIGENCE

UNIT 3. ALGORITHMS APPLIED TO ARTIFICIAL INTELLIGENCE

UNIT 4. RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND BIG DATA

UNIT 5. EXPERT SYSTEMS

UNIT 6. FUTURE OF ARTIFICIAL INTELLIGENCE

UNIT 7. INTRODUCTION TO MACHINE LEARNING

UNIT 8. DATA STRUCTURE EXTRACTION: CLUSTERING

UNIT 9. RECOMMENDATION SYSTEMS

UNIT 10. CLASSIFICATION

UNIT 11. NEURAL NETWORKS AND DEEP LEARNING

UNIT 12. CHOICE SYSTEMS

UNIT 13. DEEP LEARNING WITH PYTHON, KERAS, AND TENSORFLOW

UNIT 14. NEURAL SYSTEMS

UNIT 15. SINGLE-LAYER NETWORKS

UNIT 16. MULTILAYER NETWORKS

UNIT 17. LEARNING STRATEGIES

Plan de estudios

Resumen salidas profesionales
The Course on Artificial Intelligence, Machine Learning and Deep Learning is your gateway to a thriving sector brimming with opportunities. As the demand for AI expertise skyrockets across industries, this course equips you with cutting-edge skills to stay ahead. Immerse yourself in a curriculum designed to unravel the complexities of AI, offering you a comprehensive understanding of machine learning algorithms and deep learning frameworks. By participating, you position yourself at the forefront of technological innovation, ready to tackle real-world challenges with confidence. Embrace this chance to enhance your career prospects and become a sought-after professional in a field that is shaping our future.

Objetivos
- To understand the fundamental concepts of Artificial Intelligence in depth. - To analyse various Machine Learning algorithms and their applications. - To explore the architecture and functioning of Deep Learning models. - To differentiate between supervised and unsupervised learning techniques. - To evaluate the effectiveness of predictive models in different scenarios. - To apply AI principles to solve real-world problems innovatively. - To gain insight into ethical considerations in AI development and use.
Salidas profesionales
- AI Research Scientist in tech companies - Machine Learning Engineer for predictive modeling - Data Scientist specialising in data analysis - Deep Learning Specialist in autonomous systems - AI Consultant for business optimisation - NLP Engineer for language processing solutions - Robotics Engineer focusing on AI-driven automation
Para qué te prepara
This course equips you to understand and apply key concepts of Artificial Intelligence, Machine Learning, and Deep Learning. You'll be able to design and implement algorithms to solve complex problems, analyse data patterns, and improve decision-making processes. By the end, you'll confidently use AI tools and techniques, enhancing your capability to innovate and optimise solutions in your professional practice.

A quién va dirigido
The Course on Artificial Intelligence, Machine Learning and Deep Learning is tailored for professionals and graduates in the field eager to enhance or refresh their understanding of AI technologies. Ideal for those seeking to grasp foundational concepts and practical applications, this course offers a comprehensive introduction without delving into advanced complexities.

Metodología
Aprendizaje online gif Aprendizaje online
Aprendizaje 100% online
Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.
Campus virtual Campus virtual
Campus virtual
Accede al campus virtual desde cualquier dispositivo, las 24 horas del día. Contando con acceso ilimitado a los contenidos de este curso.
Equipo docente especializado Equipo docente especializado
Equipo docente especializado
El alumnado cuenta con un equipo de profesionales en esta área de formación, ofreciéndole un acompañamiento personalizado.
Centro del estudiante Centro del estudiante
Centro del estudiante
Contacta a través de teléfono, chat y/o email. Obtendrás una respuesta en un tiempo máximo de 24/48 horas en función de la carga docente.
Carácter oficial
This training is not included in the Official Education System (such as Early Childhood Education, Primary Education, Secondary Education, Vocational Education, Baccalaureate, University Degrees, Official University Master’s Degrees, and Doctorates). It is, therefore, considered complementary or specialized training aimed at acquiring certain professional competences, skills, or aptitudes. This training may be recognized as a merit in job applications and/or competitive examinations, always within the section on Complementary Training and/or Continuous Training. It is essential to review the specific requirements of the public job vacancies for which we wish to apply.

Titulación de course on artificial intelligence and deep learning

Degree issued by EDUCA OPEN, a center specialized in training in different technological areas.
EDUCAOPEN
EDUCAOPEN_DIPLOMA

Claustro docente

Euroinnova International Online Education
Isaías Aranda Cano

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Daniel Cabrera Armenteros

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Alan Sastre

Docente de la facultad de ingeniería

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