Become an expert in Artificial Intelligence applied to business and acquire the strategic and technical competencies to build state-of-the-art solutions
The Expert Program in Artificial Intelligence is designed to transform professionals into leaders in the field of Artificial Intelligence, prepared to face the most advanced technological challenges and develop innovative solutions that make a difference in today's market.
The Master in Connected Industry and Artificial Intelligence is promoted by the Ricardo Valle Institute Foundation for Innovation (Innova IRV) and organized by Fom Talent and MBIT DATA School, in collaboration with ESESA as a teacher and local partner.
We've created a unique experience for you to discover your passion for AI, data and technology.
Assess your current capabilities and access personalized guidance to guide you in choosing a suitable and effective program for your professional development.
Totally free and without obligation.
And if it convinces you...
Lesson Sessions
The sessions will be broadcast online via streaming. Attendance will weigh on the final grade, representing a percentage of the grade obtained. For the calculation of your
contribution to the above-mentioned qualification, the absolute minimum number of hours of attendance established by
academic directors to obtain the degree, fixed at 70% of the teaching hours of the program.
Special Sessions
In addition to online sessions, the program includes a series of face-to-face sessions, seminars and company visits, led by relevant experts and focused on collaborative work.
Evaluation
The methodology for evaluating students will be based on attendance and final group work/project, an individual evaluation of each module at the end of the module and the final work/project, which may be individual or in groups of up to a maximum of three students.
Final Project
Students must submit an individual or group project at the conclusion of the program. The academic directors will validate, if appropriate, the groups during the first third of the Program. The works will be defined on the basis of proposals from the teachers and the students themselves and short preliminary presentations of the projects will be required in the middle of the Program.
Main techniques of Deep Learning for image and video processing, object detection projects, facial recognition and other applications.
Models for sensing feeling, understanding dialogue or generating sentences with Spacy, huggingface, BERT or GPT-3.
Learn advanced forecasting models from Deep Learning for complex predictions in the financial, sports or industrial world
Foundations of models such as adversarial or diffusion models for data generation. Learn how famous models work Dall-E or Midjourney.
Learn the fundamentals for creating algorithms that train themselves by simulation, with examples applied to video games or robotics
Learn how to create software products that incorporate your AI models, everything you need to know to collaborate with development teams
Find out who will accompany you on your next course and where they are currently working.
If you don't find what you're looking for, contact us and we'll answer any questions you may have.