TKM Technology
Educational Initiative by TKM Technology

AcelerIA

5 Progressive Certifications for Developing AI Talent in Latin America

Bridging the AI Skills Gap

In the last decade, Artificial Intelligence has transformed every discipline — from medicine and engineering to arts and business. Large Language Models (LLMs), process automation, and cloud infrastructure have lowered the barriers to innovation with AI.

However, while Latin American universities offer strong programs in engineering, social sciences, and design, the practical integration of AI into curricula remains nascent. Students understand AI's potential but lack structured pathways from conceptual understanding to building market-ready products.

AcelerIA bridges this gap with a structured route of practical certifications that integrate modern programming, applied artificial intelligence, and technology entrepreneurship.

Certification Path

5 Progressive Certifications

From zero to production in approximately one year. Each certification builds on the previous one.

1

Introduction to AI with LLMs and Vibe Coding

~2 months
  • Fundamentals of applied Artificial Intelligence
  • Understanding and using Large Language Models (LLMs)
  • Prompt engineering and AI APIs
  • Initial projects: integrating AI with everyday tasks
2

Design and Development Environment (IDE)

~2 months
  • Creating integrated development environments for AI projects
  • Introduction to cloud, containers, and deployment (Docker, AWS, GitHub Actions)
  • Architecture concepts: Backend, APIs, Frontend, and DevOps
  • Setting up the base environment for your platform
3

Backend with Python and Service Integration

~2 months
  • RESTful API development with FastAPI and Pydantic
  • Authentication management with Auth0
  • Relational and document database design (SQL and NoSQL)
  • Migrations and version control
4

Frontend with TypeScript and Next.js

~2 months
  • Interactive interface design with Next.js
  • Using Shadcn/UI components for visual consistency
  • Backend API integration
  • Building a unified Knowledge Base
5

DevOps and Production Deployment

~2 months
  • Deployment on AWS and Amplify
  • Pipeline automation with GitHub Actions
  • Secrets management, versioning, and CI/CD
  • System monitoring and optimization
Methodology

Learn by Building

Project-Based Learning

Each student develops their own platform or service, building real products from day one.

Vibe Coding Sessions

Practical, collaborative workshops where students code with real-time mentorship and guidance.

Cross-Disciplinary Integration

Students connect their field of study with AI — from communication and psychology to law and business.

Continuous Evaluation

Assessment based on functional projects, GitHub repositories, and real deployments — not exams.

Join AcelerIA

Ready to accelerate your AI journey? Choose between university programs, express intensives, or self-paced online courses.