Introduction
IntroductionThe Fundamentals and Technologies of Artificial Intelligence course opens the door to a constantly expanding field with rising job demand. Artificial intelligence is not only transforming industries but also redefining the way we live and work. By participating in this course, you will acquire essential knowledge and critical skills that will allow you to understand and apply cutting-edge AI technologies, positioning yourself at the forefront of innovation. You will learn to analyze data, develop intelligent solutions, and anticipate industry trends. This online training offers you the flexibility to learn from anywhere, adapting to your pace and schedule. Don't miss the opportunity to immerse yourself in an area with a promising future and a high impact on society.
Presentation
1 min 20 secs
Syllabus
SyllabusCertification
CertificationUniversity Microcredential Degree in Fundamentals and Technologies of Artificial Intelligence with 45 hours and 1 Credit issued by UNIMIAMI
Job opportunities
Job opportunities- Machine Learning Engineer - Artificial Intelligence Developer - Data Analyst - Computer Vision Specialist - Data Scientist - Natural Language Processing Engineer - AI Technology Consultant - AI Solutions Architect - Artificial Intelligence Researcher - Intelligent Robotics Specialist
Scholarships
ScholarshipsUNIMIAMI presents AVANZA
Commitment to Educational Democratization
A financial aid program for its students. With this, the university reaffirms its commitment to democratizing education and empowering future professionals, convinced that education is key to improving quality of life and reducing inequalities.
Methodology
MethodologyTruly personalized learning
Your style, interests, and level define the journey. You are the starting point.
Constructivism in action
Explore, experiment, and apply. Learning means understanding, not memorizing.
AI that accompanies you, not directs you
PHIA, our artificial intelligence assistant, guides you without limiting your autonomy.
Pressure-free evaluation
Continuous and adaptive feedback. Because learning is a process, not a number.