The implementation of artificial intelligence (AI) in the business environment has proven to be a key factor to improve decision making, optimize processes and generate competitive value. This program is designed to meet the growing demand for professionals trained in AI, providing participants with the necessary tools and knowledge to face the current and future challenges of the business environment. AI has become a cross-cutting technology, applied in various areas such as risk management, marketing, operations and finance, which requires specialized training to enable its proper integration into business processes. This course justifies its relevance by offering a complete theoretical and practical training, where attendees will be able to apply the concepts acquired to real projects and case studies, thus strengthening their capacity for innovation and adaptation in an increasingly digitized business environment. In addition, the inclusion of business visits and practical workshops with AI tools ensures a comprehensive training that connects academic knowledge with the real needs and challenges of the market.
Advanced undergraduate students and professionals interested in understanding the world of AI in business decision making.
- Project Based Learning: participants will work on real projects, applying the concepts learned to practical cases from their own companies or sectors.
- Case Studies: success and failure cases of companies that have implemented AI will be analyzed, identifying the keys to success and the challenges to overcome.
- Practical Workshops: workshops will be held with AI tools such as Python, TensorFlow, or data analysis platforms, so that participants can acquire technical skills.
- Business Visits: visits to companies that have successfully implemented AI solutions will be organized to learn first-hand about their experiences and challenges.
- Active Methodology: active student participation will be encouraged through group discussions, questions and problem solving.
FEE BY STUDENT
Program prepayment Fees
Until friday, november 8th
Full program fees
More Information
Educación Continua
Natalia Valderrama Giraldo
Oficina Internacionalización natalia.valderrama69@eia.edu.co
- Days and hours: from Monday to Friday at 8:00 a.m. to 5:00 p.m.
- Dates: November 25th to November 29th
- Mode: On-site
- Location: Universidad EIA (Sede Las Palmas)
- Duration: 40 hours (up to 52 hours for students who wish to transfer a two-credit course, previously approved by their director)
