Latin American regional focus program
The Latin American (LATAM) region is undergoing rapid digital acceleration fueled by significant investments from both government and industry. These investments are expanding local compute capacity, strengthening data sovereignty and building the foundation for home-grown AI development.
At the same time, the region faces a projected talent gap of 2 million engineers representing a major opportunity for workforce development in AI, IT and advanced manufacturing. Demand for these skills continues to rise, with 69 percent of enterprises planning to boost their AI investment in 2025 despite limited digital maturity. Industry leaders report that AI-ready talent and strategic leadership alignment are the most important factors for successful adoption, driving strong demand for upskilling, micro-credentials and structured AI implementation across the region.
The AI Essentials for Organizations Latin American (LATAM) program was designed in partnership with UBCx and AI industry experts to address this need by enabling companies to rapidly build internal AI capability and ensure measurable workforce impact. The program provides a cost-effective, scalable pathway for upskilling teams and supports compliance with LATAM regulatory environments. Compared to consultants and lengthy hiring processes, UBCx offers practical, applied AI learning focused on immediate business outcomes.
- Format: 100% online and instructor supported with real-time sessions
- Duration: Six micro-courses plus a capstone project with 12-14 learning hours each and program completion within 12–18 months
- Cost: $550 USD per micro-course (minimum 6 courses + 1 capstone)
This program is expected to launch in early 2026, please subscribe for updates.
Government & industry momentum
Multi-billion-dollar cloud and AI infrastructure commitments, including AWS (>US $5B), CloudHQ (US $4.8B) and Microsoft (US $1.3B) are expanding Mexico’s computer, data-sovereignty and AI-development capacity.
Program details
In partnership with:

