The Postgraduate Course in Artificial Intelligence is the result of a partnership between ISLA - Instituto Politécnico de Gestão e Tecnologia and OAF - Oceânica Academia This course aims to respond to the growing demand for qualified professionals in one of today's most strategic areas: the practical application of Artificial Intelligence (AI) in real contexts. With a comprehensive and up-to-date curriculum, the training covers topics such as machine learning, neural networks, deep learning, natural language processing, and practical applications in sectors such as health, industry, finance, and transportation. The course also integrates mathematical foundations, Python programming, and tools such as TensorFlow and PyTorch. It is aimed at graduates and professionals who wish to acquire technical skills in the field of AI, essentially in innovative solutions, data analysis, and process automation. It includes a practical final project, geared towards real challenges. The course is taught on a part-time basis, with a strong practical component and a teaching staff with relevant academic and professional experience.

- Graduates in Information Technology, Engineering, Mathematics, Management, Economics, or similar fields; - Professionals with proven experience in technology or data analysis (based on CV assessment).

1. Technology and Data Science Professionals Software engineers and programmers who want to specialize in AI to develop intelligent systems. Data scientists interested in deepening their knowledge of machine learning, deep learning, and data analysis. Computer engineers or robotics specialists who want to apply AI to physical systems. 2. Academics and Researchers: Graduates in areas such as computer science, electrical engineering, mathematics, or statistics who wish to continue in academia, conduct research, or develop new models and techniques in AI. Those interested in developing cutting-edge scientific projects at the intersection of AI and other disciplines. 3. Professionals from Other Fields with an Interest in AI Managers and consultants seeking to understand how AI can transform business and improve organizational processes. Specialists in fields such as healthcare, finance, marketing, automotive, or law who wish to apply AI in their specific domains. Professionals with training in creative fields such as design, interested in generative AI for content creation. 4. Recent Graduates Students with recent training in related disciplines who want to enter the job market with a specialization in a highly promising field. 5. Entrepreneurs Founders or entrepreneurs who want to create AI-based startups or integrate AI technologies into their businesses.

1. Provide comprehensive training in Artificial Intelligence (AI), focusing on techniques, algorithms, and tools used in solving complex problems, preparing students to work in research, development, and implementation of AI-based solutions. 2. Enable students to apply machine learning algorithms and neural networks in different practical scenarios, developing solutions in areas such as healthcare, finance, industry, automation, and others. 3. Develop students' critical thinking skills on ethical and social issues associated with the implementation of AI systems, addressing topics such as algorithmic bias, privacy, and impact on the labor market. 4. Integrate fundamental theories and advanced AI practices, providing students with a solid foundation in mathematics, programming, machine learning, neural networks, natural language processing (NLP), and other emerging areas. 5. Promote the use of cloud computing tools and AI platforms, such as Google Cloud, AWS, and Microsoft Azure, so that students can work with large volumes of data and train AI models in high-performance environments.

- Develop Machine Learning and Deep Learning models - Analyze and interpret large volumes of data with AI tools - Program and apply Artificial Intelligence algorithms in real contexts - Integrate AI solutions into business and decision-making processes - Critically reflect on the ethical and social impacts of Artificial Intelligence

- Specialist in Artificial Intelligence applied to industry and services - Data Scientist - Machine Learning Engineer - Automated Processes and Robotics Analyst - Consultant in AI-based Digital Transformation

Assessment Methodology: Individual assessment tests, individual and group assignments, project development, among others.