Diploma in Artificial Intelligence: Machine Learning and Deep Learning Applied
Regular price:
$2.000.000
$2.000.000
Prompt payment value:
$1.500.000
$1.500.000
Modality: Virtual
Beginning of classes: March 2026
Quotas: Limited
Faculty: Engineering, Architecture and Urban Planning
Certification: At the end of the 100% diploma course
Hourly Intensity: 75 hours
CTA (call to action)
1. Pre-register now by scanning the QR code.
2. Secure your place: registration on a first-come, first-served basis.
Program Presentation
UNINAVARRA's Diploma in Artificial Intelligence: Machine Learning and Applied Deep Learning offers a comprehensive and practical training to understand, build and apply AI solutions in real contexts. Throughout 75 hours in online mode, the participant will strengthen competencies to work with data, select modeling approaches, train supervised and unsupervised algorithms, and explore modern deep learning techniques oriented to professional world problems.
The program is designed to promote profiles that seek to update and differentiate themselves in the market, integrating solid fundamentals with applied activities, laboratories and results-oriented challenges. Spaces are limited and certification is granted upon completion of the 100% diploma.
UNINAVARRA's Diploma in Artificial Intelligence: Machine Learning and Applied Deep Learning offers a comprehensive and practical training to understand, build and apply AI solutions in real contexts. Throughout 75 hours in online mode, the participant will strengthen competencies to work with data, select modeling approaches, train supervised and unsupervised algorithms, and explore modern deep learning techniques oriented to professional world problems.
The program is designed to promote profiles that seek to update and differentiate themselves in the market, integrating solid fundamentals with applied activities, laboratories and results-oriented challenges. Spaces are limited and certification is granted upon completion of the 100% diploma.
Target
To develop in the participants theoretical and practical skills to design, train, evaluate and deploy Machine Learning and Deep Learning solutions, with an applied approach to problem solving through the use of data and current Artificial Intelligence methodologies.
To develop in the participants theoretical and practical skills to design, train, evaluate and deploy Machine Learning and Deep Learning solutions, with an applied approach to problem solving through the use of data and current Artificial Intelligence methodologies.
Methodology
- 1. Online modality with synchronous sessions (live class) and asynchronous components (guided material).
- 2. Practice-based learning: workshops and exercises oriented to use cases.
- 3. Accompaniment and feedback: review of progress, resolution of doubts and guides for improvement.