Postgraduate in Artificial Intelligence

Category: Post Graduation
  • Artificial Intelligence
  • 7175
  • 150.00

  • 1º Ano / No Branch

    Annual

    Course NameECTS
    Artificial Intelligence in Practical Applications3 ECTS
    Final Project3 ECTS
    Introduction to Artificial Intelligence3 ECTS
    Machine Learning5 ECTS
    Mathematical Foundations for AI4 ECTS
    Natural Language Processing3 ECTS
    Neural Networks and Deep Learning5 ECTS
    Programming for AI4 ECTS
    • [[inner]]
  • 27
  • - 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
  • 30
  • Serviços Académicos e Administrativos
  • iba@islagaia.pt
  • 1
  • Pós-Graduação
  • ISLA GAIA - School of Technology
  • N
  • 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.
  • 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.
  • Engineering and Technologies
  • 24
  • 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.
  • 223772980
  • 2497
  • José Joaquim Magalhães Moreira
  • [{"designation":"Holders of academic degree","value":60,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":450,"code":1293,"candidateType":"E"}]
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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.","presentation":"The Postgraduate Course in Artificial Intelligence is the result of a partnership between ISLA - Instituto Polit\u00e9cnico de Gest\u00e3o e Tecnologia and OAF - Oce\u00e2nica 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.\r\nWith 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. 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Technology and Data Science Professionals Software engineers and programmers who want to specialize in AI to develop intelligent systems.\r\nData scientists interested in deepening their knowledge of machine learning, deep learning, and data analysis.\r\nComputer engineers or robotics specialists who want to apply AI to physical systems.\r\n\r\n2. Academics and Researchers:\r\nGraduates 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.\r\nThose interested in developing cutting-edge scientific projects at the intersection of AI and other disciplines.\r\n\r\n3. Professionals from Other Fields with an Interest in AI\r\nManagers and consultants seeking to understand how AI can transform business and improve organizational processes.\r\nSpecialists in fields such as healthcare, finance, marketing, automotive, or law who wish to apply AI in their specific domains.\r\nProfessionals with training in creative fields such as design, interested in generative AI for content creation.\r\n\r\n4. Recent Graduates\r\nStudents with recent training in related disciplines who want to enter the job market with a specialization in a highly promising field.\r\n\r\n5. Entrepreneurs\r\nFounders or entrepreneurs who want to create AI-based startups or integrate AI technologies into their businesses.","telephoneNumber":"223772980","partners":"OAF Oce\u00e2nica Academia Forma\u00e7\u00e3o - www.oceanicacabincrew.pt","recordId":2497,"coorCursoContacto":"Jos\u00e9 Joaquim Magalh\u00e3es Moreira","coDirectorContact":"Maria Ortelinda Barros Gon\u00e7alves","dispExtraCurricular":"N"},"courseTuitions":[{"designation":"School Insurance","value":47,"code":780},{"value":200,"code":996},{"value":1745,"code":1526},{"designation":"Monthly Fee","value":349}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":60,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":450,"code":1293,"candidateType":"E"}],"teachers":[],"courseEditions":[{"courseCode":7175,"recordId":2497,"editionId":504,"endDate":1816988400000,"initialDate":1790982000000,"initialDateCandidate":1772323200000,"endDateCandidate":1790377200000,"namePt":"1\u00aa Edi\u00e7\u00e3o","nameEn":"1st Edition, Academic Year 2025\/2026","horarioPrevPt":"6\u00aa feira das 19:00 \u00e0s 23:00 e s\u00e1bado das 09:00 \u00e0s 13:00"}],"errorCode":"0","lang":"en-GB","emolumentsfirstyear":{"courseTuitions":[{"designation":"School Insurance","value":50,"code":780},{"value":200,"code":996},{"designation":"Monthly Fee","value":357.73},{"value":357.73}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":70,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":460,"code":1293,"candidateType":"E"}],"errorCode":"0"},"emolumentssecondyear":{"errorCode":"0"},"calendar":[{"codigoInstituicao":27,"nomeInstituicao":"ISLA - Instituto Polit\u00e9cnico de Gest\u00e3o e Tecnologia (ISLA Gaia)","codigoGrau":6,"nomeGrau":"Postgraduation","codigoCurso":7175,"nomeCurso":"Artificial Intelligence","nomeFase":"1st phase","nomePeriodo":"Applying for Postgraduation - Holders of academic degree","codigoPeriodo":10269,"inicioPeriodo":"2026-04-30 00:00:00.0","fimPeriodo":"2026-10-01 00:00:00.0","fase":1,"codigoRegimeCandidatura":137,"schoolYear":"202627","language":"EN"}]}
  • EN
  • jose.moreira@islagaia.pt
  • Maria Ortelinda Barros Gonçalves
  • - Graduates in Information Technology, Engineering, Mathematics, Management, Economics, or similar fields; - Professionals with proven experience in technology or data analysis (based on CV assessment).
  • - 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
  • José Joaquim Moreira
  • A distância
  • Ciências informáticas
  • 481
  • 71
  • Assessment Methodology: Individual assessment tests, individual and group assignments, project development, among others.
  • {"courseTuitions":[{"designation":"School Insurance","value":50,"code":780},{"value":200,"code":996},{"designation":"Monthly Fee","value":357.73},{"value":357.73}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":70,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":460,"code":1293,"candidateType":"E"}],"errorCode":"0"}
  • {"errorCode":"0"}
    • Emerging field.
    • Applicability across various sectors of the economy.
    • Strong demand for professionals in the field.
  • 1
  • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p40085
  • 1st Edition, Academic Year 2025/2026
  • 2026-10-02
  • 2027-07-30
  • 2026-03-01
  • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=f8805

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