It is designed for professionals, specialists, and project leaders who seek to understand, design, and implement end - to -end AI solutions.

PROFILE OF THE NEW STUDENT

Leaders and hierarchical members of organizations

• Directors, C-Level, Founders and Managers.
• Managers and middle managers.
• Developers, Engineers and Consultants.

Non-STEM professionals (Without programming knowledge)

• Business and Management Administrators.
• Public Accountants and Finance.
• Lawyers and the Legal Sector.
• Professionals from other areas (Health, Biology, Communication, Logistics, Economics, Social Sciences).

STEM Professionals

• Engineers (Industrial, Electronic, Chemical, among others).
• Graduates and Systems Analysts.
• Developers and Programmers.

Module 1 – Fundamentals of Artificial Intelligence and Machine Learning (15 Hours)

1. Defining Discriminative and Generative AI. Introduction to Exploratory Data Analysis. Applications of Artificial Intelligence
2. Introduction to Machine Learning. Types of learning: supervised, unsupervised, and reinforcement learning. Semi-supervised learning.
3. Supervised learning: regression, classification, and model evaluation.
4. Unsupervised learning: clustering, dimensionality reduction, and anomaly detection.
5. Introduction to Reinforcement Learning: Applications and Case Studies.
6. Data preprocessing techniques and feature selection. Evaluation of the efficiency of a machine learning model.

Module 2 – Deep Learning and Advanced Applications (15 hours)

1. Introduction to Artificial Neural Networks. Image processing using Deep Learning. Text processing and applications.
2. Transfer Learning (Transfer Learning) Ensemble Learning.
3. Deep neural networks: architectures (CNNs, RNNs, and GANs), training, and optimization. Model training and optimization. Indicators of model quality.
4. AI Tools and Frameworks: Popular libraries (TensorFlow, PyTorch, etc.), notebooks, and development environments. Online resources: open-source models and datasets

MODULE 3 – Artificial Vision (20 Hours)

1. Fundamentals of computer vision. Image processing. Object detection and classification. Object detection algorithms. Object classification using machine learning techniques.
2. Deep learning for computer vision: CNNs, ViT, and applications. Object detection and classification. Semantic segmentation. Facial and pattern recognition.

MODULE 4 – Natural Language Processing (22 Hours)

1. Fundamentals of NLP: Text preprocessing. Language modeling and word representation. Word embeddings. Language models
2. Use of Recurrent Neural Networks. Transformers and generative models.
3. NLP applications: sentiment analysis, machine translation, text generation, etc.

MODULE 5: Generative Artificial Intelligence (Part 1) (12 Hours)

1. Introduction to Generative Artificial Intelligence (GenAI): Definition and basic concepts. Differences with other AI approaches.
2. Foundational Models. Applications and Use Cases. Generative Language Models. BERT, GPT, DeepSeek, Gemini, etc.
3. Pre-training and fine-tuning. Text generation. Distillation, model compression.
4. Benchmarks for generative models. Status
   

   Of art.

Module 5: Generative Artificial Intelligence (Part 2) (16 hours)

1. Generative Models of Computer Vision. Generative Adversarial Networks (GANs). Diffusion Models. VAEs Models. Image Generation and Art.
2. Multimodal Models. Augmented Recovery Generation (RAG). Vector Databases. Intelligent Agent Development. Multi-Agents.
3. Biases in Generative AI. Algorithmic bias and fairness. Perplexity. Hallucinations.

Module 6: Ethical Challenges, General Artificial Intelligence and Perspectives (5 hours)

1. Impacts of Artificial Intelligence on Society
2. Ethical challenges in the development and application of AI
3. Artificial General Intelligence: concepts and possibilities. Future perspectives of AI.

Module 7: Final Group Project (20 hours)

Dedicated to carrying out a practical project in groups, applying the knowledge acquired in the previous modules.

TOTAL: 125 hours

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.

Mag. Pablo Galiana

Master's degree in Data Exploitation and Knowledge Management Universidad Austral In the academic field, he works as Professor of Artificial Intelligence, Algorithms and Data Structures, and Databases at the Universidad AustralRegarding his work experience, he has worked as software engineer in companies like MuleSoft (Salesforce Argentina), TekGenesis and Datamex Paraguay, all of them dedicated to software development and IT services.

Mag. Ignacio Berdiñas

Master of Business Administration – MBA – Magna Cum Laude (IAE Business School). Furthermore, it is Computer Engineer (Universidad Austral), and performed the Professional Program in Artificial Intelligence (Stanford University). Regarding his professional experience, he is MultiplAI Health: Lead ML Engineerwhere he is developing models for genetic sequencing processing focused on non-invasive disease diagnosis.

Online: Tuesdays and Thursdays.

Group project chosen by the students.

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

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.
• Former students (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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