Workshop 1 – AI Opportunity Mapping

Workshop 2 – Building Your First Predictive Model

Workshop 3 – Train your own Vision Model

Workshop 4 – Ideation and Prototyping

Workshop 5 – Voice of the Customer Analysis

Workshop 6 – Build a Professional Assistant

Workshop 7 – The Prompting Challenge

Workshop 8 – Generative Intelligence Laboratory by Domain

Workshop 9 – Boost your work with AI

Workshop 10 – Bias Audit Simulation

MODULE 1 – The AI ​​Revolution

AI Concepts, History, and Strategy
An introduction to the transformative impact of Artificial Intelligence on business models and society. Fundamental concepts, technological evolution, and strategic approaches for its integration into organizations are explored, using frameworks to analyze opportunities and real-world scenarios.
Evaluation method: Case study analysis.

MODULE 2 – The engine of learning

Fundamentals of Machine Learning and Deep Learning
Understanding the principles that allow machines to learn from data. Predictive modeling techniques are explored using automated tools, interpreting results and evaluating their applicability to specific challenges in the production and service sectors.
Evaluation method: Practical exercise in predictive modeling.

MODULE 3 – From Seeing to Creating

Computer Vision and Generative Imaging
AI application for visual pattern recognition and digital content creation. We work with image classification models and cutting-edge generative tools to design innovative solutions in sectors such as security, retail, healthcare, design, and communication.
Evaluation method: Image classification and generation workshop.

MODULE 4 – From understanding to speaking

Natural Language Processing and Conversational AI
This course explores technologies that enable machines to understand and generate human language. Topics covered include text analysis, emotion detection, semantic classification, and the development of chatbots for new forms of interaction and automation with users and customers.
Evaluation method: Sentiment analysis and chatbot creation workshop.

MODULE 5 – The generative frontier

Professional Application of Generative AI
This course delves into advanced generative models applicable to the corporate environment. Participants will design automations, intelligent workflows, and creative solutions using leading platforms. Skills in prompt engineering, service integration, and functional prototyping will be developed.
Evaluation method: Engineering prompt exercises, mini-automation project.

MODULE 6 – AI with awareness

Responsible and Ethical AI
Critical reflection and application of ethical principles in the development and use of artificial intelligence. Risks, algorithmic biases, regulatory frameworks, and mitigation strategies are analyzed to promote responsible decisions that guarantee transparency, security, and social inclusion.
Evaluation method: Ethical audit simulation.

MODULE 7 – Final Project

Final Project – Applied AI Solution
An integrative project aimed at generating real impact. Students will design a functional prototype or pilot that addresses a specific organizational need, applying tools, methodologies, and criteria developed throughout the diploma program.

Online | Mondays and Wednesdays + 2 optional face-to-face meetings to enhance networking and the learning experience.

University graduates with experience in their fields— Law, Business, Marketing, Education, Human Resources, Finance, Public Sector, etc. —who seek to understand and apply Artificial Intelligence as a strategic tool, without needing a background in programming or engineering . These are individuals with curiosity, critical thinking skills, and a forward-thinking vision.

Director:

Dr. Claudio Enrique Righetti

Outstanding professional with a PhD in Computer Science from the University of Buenos AiresHe has held important positions such as Chief Scientist at Telecom Argentina y Chief Scientist at Cablevisión – FibertelFurthermore, he has extensive academic experience as a professor and director in the Universidad Austral and the University of Buenos Aires, where He has supervised more than 35 undergraduate and postgraduate thesesHe received the award International Engineering Professional Award 2018 for their contribution to to promote the adoption and development of AI and ML tools in the telecommunications industry (SCTE). Es member of the AI ​​Working Group of TM Forum.

Academic coordinator:

Mag. Diego Adrián Castro

Master's Degree in Data Mining and Knowledge Management from the Universidad AustralHe currently holds the position of Data & Analytics Manager at Nación Servicios (SUBE Card)In academia, he has worked as a professor at the Faculty of Exact and Natural Sciences of the University of Buenos Aires and at UADE. He has been a member of the committee of the Argentine Symposium on Artificial Intelligence and Data Science (ASAID-JAIIO) since 2021. He is a speaker at events related to Artificial Intelligence and its applications, including in the field of football.

Professors:

Mag. Juan Pablo Sokil

Master's degree in Data Mining and Knowledge Discovery from the University of Buenos Aires . Master's candidate in Statistics from the Faculty of Exact and Natural Sciences, University of Buenos Aires. He is a Specialist in Artificial Intelligence and Machine Learning at Allied Group. He has held prominent roles such as Lead Data Scientist and AI-ML Engineer at Telecom Argentina, and Data Scientist at the Organization of Ibero-American States . He also has experience as a Data Mining Analyst at Banco Credicoop and as a Statistical Analyst at CEOP Market Research . In academia, he teaches Applied Statistics at the National Defense University.

Eng. Horacio G. Arrigo

A professional with a strong academic background, including a Master's degree (candidate) in Data Mining and Knowledge Discovery from the University of Buenos Aires (UBA) . He has held prominent roles at companies such as Telecom Argentina , where he served as Data Science Manager and Tech Scientist , respectively. He is currently the Director of Data Science for Latin America at MetLife Argentina . He also has academic experience as a Data Science professor at CoderHouse and as a teaching assistant at the Faculty of Engineering of the University of Buenos Aires.

Final project : proposal, no-code/low-code prototype and presentation (10') with criteria on business value, ROI and ethics.

The Faculty of Engineering of the Universidad Austral will issue the Academic Certificate of approval of the “Diploma in Applied Artificial Intelligence"to those who comply with the promotion regime."

Diploma in Artificial Intelligence (technical focus)

Objectives

To provide students with the theoretical and practical frameworks related to Artificial Intelligence. This will allow participants to understand the fundamental concepts of AI and learn about its applications in different domains.
Namely:
– To deepen knowledge of the fundamental principles of Artificial Intelligence.
– To learn about and delve deeper into the techniques and tools of Artificial Intelligence (including Machine Learning, Deep Learning and Generative Artificial Intelligence).
– Acquire knowledge in the different cross-cutting applications that Artificial Intelligence has in all fields.

Find more information about the postgraduate program here .

DISCOUNTS AND BENEFITS

• UA undergraduate graduates:
  • 25% off all UA postgraduate academic offerings (master's degrees, diplomas and programs).
  • 20% off master's degrees IAE and 10% in targeted programs of IAE.
• UA Postgraduate Graduates:
  • 20% on the academic offer of UA diplomas and programs.
• Alumni (non-graduates):
  • 15% on the academic offer of UA diplomas and programs.

 Important: Discounts are not cumulative and are subject to availability.

PAYMENT PLANS

Request information on current payment plans and installment options.

AGREEMENTS

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