Generative AI is redefining work across all industries. Although some courses focus on developers and data experts, the real demand is for training professionals in any field to integrate generative AI tools into their daily workflows, from content creation to the automation of complex tasks.
The International Certification in Applied Generative Artificial Intelligence aims to train professionals from any field in the practical and ethical use of generative AI tools to optimize processes, create innovative solutions, and enhance their job performance.
Participants will learn everything from the fundamentals to the implementation of real projects tailored to their professional field.
Understand the principles and fundamentals of generative artificial intelligence. Use leading generative AI tools (text, image, audio, video, and data). Develop prompt engineering skills to obtain accurate results. Apply generative AI to real projects tailored to each profession. Identify risks, biases, and ethical issues in the use of generative AI.
This course is designed to be accessible to professionals in any area, so previous technical knowledge is not required. However, it is recommended that participants have:
- -Basic management of digital tools (email, browser, web applications)
- -General knowledge about their own professional discipline (to apply projects in a contextualized way)
- -Disposition to explore new technologies and adopt the use of artificial intelligence in its work environment
| Certificación Internacional en Inteligencia Artificial Generativa Aplicada | Applies |
|---|---|
| Certificación Internacional en Inteligencia Artificial Generativa Aplicada | 36 hours |
Learning Methodology
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
Conditions to guarantee successful results:
- a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
- b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
- c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.
Pre-enrollment
You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.
Pre-enroll nowInfinity Payments
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Description
Generative AI is redefining work across all industries. Although some courses focus on developers and data experts, the real demand is for training professionals in any field to integrate generative AI tools into their daily workflows, from content creation to the automation of complex tasks.
The International Certification in Applied Generative Artificial Intelligence aims to train professionals from any field in the practical and ethical use of generative AI tools to optimize processes, create innovative solutions, and enhance their job performance.
Participants will learn everything from the fundamentals to the implementation of real projects tailored to their professional field.
Objectives
Understand the principles and fundamentals of generative artificial intelligence. Use leading generative AI tools (text, image, audio, video, and data). Develop prompt engineering skills to obtain accurate results. Apply generative AI to real projects tailored to each profession. Identify risks, biases, and ethical issues in the use of generative AI.
This course is designed to be accessible to professionals in any area, so previous technical knowledge is not required. However, it is recommended that participants have:
- -Basic management of digital tools (email, browser, web applications)
- -General knowledge about their own professional discipline (to apply projects in a contextualized way)
- -Disposition to explore new technologies and adopt the use of artificial intelligence in its work environment
offers
| Certificación Internacional en Inteligencia Artificial Generativa Aplicada | Applies |
|---|---|
| Certificación Internacional en Inteligencia Artificial Generativa Aplicada | 36 hours |
Learning Methodology
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor(live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
La metodología persigue que el estudiante "does not memorize", but rather "understands" the concepts and how they are applied in a work environment."
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
Conditions to guarantee successful results:
- a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
- b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
- c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.
Infinity Payments
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Course Modules
Module 1: Fundamentals of Generative AI and Its Impact on Professional Productivity
- Introduction to Artificial Intelligence. Types (generative, predictive, cognitive automation).
- Evolution towards generative AI.
- Integration into work: how it transforms professions and mitigates job losses through upskilling.
- Base architectures: deep neural networks, transformers.
- Success cases and current trends.
Module 2: Ecosystem, Key Tools, and Prompt Engineering
- Leading tools: ChatGPT, Claude, Midjourney, Runway ML, Gamma, Tome, Canva AI, etc.
- Integration through APIs.
- Principles of Prompt Engineering: designing effective prompts (roles, context, intention), practical workshop with rewriting in tools like ChatGPT.
- Open source vs. commercial models.
- Legal aspects and licenses.
Module 3: Personal Organization and Process Automation with AI
- Automation of calendars, tasks, priorities, and workflows (Notion AI, Trello with AI, Google Workspace + Duet AI, Zapier, Make, Microsoft Power Automate).
- AI as a personal assistant: reminders, agendas, custom workflows by professional role.
- Document automation, generation of persuasive and technical texts, signatures, payments, and surveys to address changes in administrative professions.
- Audio and music generation.
- Video generation from text.
Module 4: Generative AI in Decision Making, Data Analysis, and Visualization with AI
- AI in data analysis.
- Creation of automated dashboards.
- Automation of reports.
- Predictions based on historical patterns.
- AI in descriptive analysis, inferences, summaries, predictions, and historical patterns (ChatGPT, Power BI Copilot, Tableau Pulse).
Module 5: Applications by Sector
- Education: material design, intelligent tutoring, slides.
- Marketing: campaign generation, segmentation.
- Health: support in diagnostics and medical documentation.
- Legal: document drafting and case analysis.
- Engineering and design: prototyping and simulations.
- Human resources: job descriptions, simulated interviews.
- Creation of realistic/conceptual images (DALL·E, Midjourney), audio/music (ElevenLabs, Lovo), and video from text (Synthesia, Pictory, Runway).
- Impact on creative professions: prototyping, simulations, and adaptation to digital transformation.
Module 6: Knowledge Management, Accelerated Learning, and Sectoral Applications
- AI as a tutor/coach: assisted reading, summaries of PDFs/books/papers, organization of digital libraries.
- Applications by sector: education (materials, tutoring), marketing (campaigns, segmentation), health (diagnostics, documentation), legal (documents, analysis), engineering/design (prototyping), HR (job descriptions, interviews).
- Focus on professional transformation: upskilling for sectors at risk of disruption.
Module 7: Ethics, Biases, and Best Practices
- Biases and how to mitigate them.
- Transparency and traceability.
- Privacy and information security.
- Responsible use in professional environments.
Module 8: Final Project
- Creation of a practical case adapted to each student's sector.
- Presentation and defense of the project before an evaluation jury.
- Feedback and certification.