Curso de Capacitação IA e Direito: Teoria e Prática

The advance of Artificial Intelligence challenges the Law on many fronts — from regulation to practical application. With this in mind, Centro DTIBR invites you to take part in a live online training program aimed at a critical and up-to-date understanding of the use of AI, covering the main legal aspects of the subject. The course is divided into two modules, one theoretical and one practical; you may purchase either module separately or both together. The details and the syllabus of the classes are presented below.

Format

Training program – Online and Live

Classes start

September 16, 2025

Number of classes

08 live sessions

Time

Tuesdays and Thursdays, 7:00 pm to 8:50 pm

Total workload

16 class hours

Platform

Zoom

Class dates

Sep 16, Sep 18, Sep 23, Sep 25, Sep 30, Oct 2, Oct 7 and Oct 9

Still unsure? Don't worry — each module can be taken separately, whichever you prefer!

See the résumés of the faculty and the teaching assistants by clicking here.

1. 1) Introduction to the course “tools”: Fundamental concepts

   September 16 · Prof. Leonardo Parentoni

   Objectives and method of the course. Differences between AI, algorithm, model, machine learning and Data Science. Degrees of AI interference in human decision-making and their different legal consequences. Stages of building an AI model, from a theoretical standpoint. Practical exercise: key decisions when calibrating a computer vision model for medical imaging diagnosis.

2. 2) AI Regulation in Brazil

   September 18 · Prof. Fernanda Sathler

   The original regulatory discussions in Brazil. Artificial Intelligence in the LGPD (Brazil's General Data Protection Law). AI and other national legal rules. Limits of the proposal in Bill PL 5051/2019. Main topics of Bill PL 2.338/2023.

3. 3) Comparative Analysis of AI Regulation

   September 23 · Prof. Rayssa Castro

   Comparative analysis of provisions from the European Union (The AI Act - Regulation (EU) 2024/1689), the United Kingdom (AI Regulation White Paper), China and the United States.

4. 4) Artificial Intelligence and Risk Assessment

   September 25 · Prof. Gabriella Reis

   Risk: definition and classification models for AI; risk regulation; generative AI and its specific features; general risks and challenges; risks related to hallucination in AI systems; opacity, explainability and the relationship between interpretability and accuracy; human and algorithmic biases; emergent behavior; development rules; levels of autonomy and the role of the ‘Human in the Loop’; risks related to cybersecurity and personal data protection.

5. 5) Artificial Intelligence Governance

   September 30 · Prof. Tárik César

   Introductory overview of governance applied to AI systems. Normative frameworks and best practices: ISO/IEC 42001, NIST AI RMF and the OECD. Essential components of AI governance: risk management, accountability, transparency and security. The role of governance in internal regulation, safe innovation and legal compliance. Structuring institutional policies and processes for AI.

1. 6) Introduction to Machine Learning Theory

   October 2 · Prof. Bruno Alberto

   How machine learning works. Types of learning: supervised, unsupervised and reinforcement learning. Classification, regression and clustering tasks and algorithms. Interpretability. Model training and deployment cycle.

2. 7) Fundamentals of natural language processing with a focus on Law

   October 7 · Prof. Yuri dos Santos

   Fundamentals of natural language processing. Sources of legal data and techniques for collecting and preparing data. Basics of language modeling.

3. 8) Introduction to Large Foundation and Language Models (LFMs and LLMs)

   October 9 · Prof. Tárik César

   Development and evolution of Large Foundation Models (LFMs) and Large Language Models (LLMs). How LLMs work behind the curtain. Strategies and practices for working better with LLMs, from writing effective prompts to integration into complex AI Engineering workflows.

Each activity will be taught live and online, with a focus on the practical and multidisciplinary application of the topics. Our method is highly praised. Learn more about this method by clicking here.

• Meticulously planned, to Centro DTIBR's quality standard;
• Focus on quality, not quantity;
• Average satisfaction rate among former students above 90%;
• A very current topic, yet rarely covered in other courses;
• Emphasis on the practical side, covering real situations illustrated with concrete cases;
• Multidisciplinary, highly qualified and well-established faculty working in both the public and private sectors;
• Constant support from teaching assistants, with a distinctive method and plenty of supplementary reading material for further study.

Centro DTIBR will issue a certificate. If the full course is purchased (promotional tier/bundle), a single certificate will be issued to students who attend at least 05 sessions (equivalent to 60% of the course). If only the theoretical module or only the practical module is purchased, a single certificate will be issued to students who attend at least 03 sessions of the theoretical module or 02 sessions of the practical module (equivalent to 60% of each module). The certificate will bear the name provided on the Sympla platform at registration, and no subsequent corrections will be accepted. Therefore, before registering, set your name on the Sympla platform exactly as you would like it to appear on the certificate. Certificates will be sent within 30 (thirty) days after the last session of the course.