Deep/Machine Learning (Regresion/classification/clustering supervised/unsupervised learning, Time Series, Metalearning, NLP), Variables Selection, Evaluation, Cloud Computing (Google & AWS) and Statistics. Using R, Python, Tableau and Weka.
Engineering focused in the study of Computer Programming Program design, Computer Systems analysis, Fundamentals of Hardware, Networking, Computer Architecture, Professional Awareness, Mathematics for Computing, Databases Management, Artificial Intelligence, Academic skills for computing and Artificial Intelligence among other subjects.
Branch of Engineering specializing in the design, implementation and maintenance of modern computer systems that support the management of organizations of all kinds. It is solidly grounded in theories and principles of computer science, mathematics, economics and engineering and applied all the resolution of technical problems that require the development of software architectures that present a balance between different requirements and conflicting objectives.
Theoretical and practical spheres of audiovisual communication and graphic design. Critical, analytical and reflective abilities with regard to the audiovisual field, with technical and aesthetic knowledge of the forms, processes and trends in audiovisual communication.
- Data Science on the C3 AI Suite (classroom course certification)
- Dev. AI & IoT Apps on the C3 AI (online evaluation,classroom course certification)
Emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.
Presence course learning web user experiences and graphic design techniques using Adobe Photoshop, InDesign and Illustrator.
Level 6, 400 hours classroom English course, Grade A.
Verifone V/OS Components Dev Training (45 hours face-to-face course).
Aesys LCD/Led teleindicator course (face-to-face)