IBM SkillsBuild for Academia - Artificial Intelligence Course Program

About this learning plan
The Artificial Intelligence Learning Quest introduces learners to the fascinating world of AI, guiding them through foundational knowledge and hands-on applications. This learning path covers the history and evolution of AI, key concepts like machine learning, neural networks, and generative AI, and the practical use of AI in real-world scenarios. Learners will explore AI's ability to understand language, create images, and generate code, as well as dive into AI ethics and job opportunities in the field. With a blend of interactive modules, coding exercises, and industry-recognized credentials, this quest equips students with the skills needed to begin a career in AI.

  • Getting started with Artificial Intelligence
    • Artificial Intelligence - Are We There Yet?
    • Become a value creator with generative AI
    • Introduction to Artificial Intelligence
    • Introduction to Large Language Models
    • Mastering the Art of Prompting
    • Prompt Engineering for Everyone
  • Artificial Intelligence & Ethics
    • Identify the five pillars of AI ethics
    • Describe fairness in AI
    • Describe protected attributes
    • Identify privileged groups and unprivileged groups
    • Explain AI bias
    • Identify robustness
    • and more
  • Advancing in AI Concepts
    • Natural Language Processing and Computer Vision
    • Machine Learning and Deep Learning
    • Run AI Models with IBM Watson Studio
    • Your Future in AI: The Job Landscape
  • Deep Dive intro AI Technology
    • Building Trustworthy AI Enterprise Solutions
    • Building AI Solutions Using Advanced Algorithms and Open Source Frameworks
    • Generative AI in Action


ZGŁOSZENIA DO PROGRAMU


Osoby, które chcą wziąć udział w programie SkillsBuild proszone są przesłanie zgłoszenia na adres SkillsBuild@pollub.pl o treści:

IMIĘ i NAZWISKO;    NUMER ALBUMU;    KIERUNEK STUDIÓW;    ROK;    NAZWA ŚCIEŻKI PROGRAMU

(przykładowo: Łukasz Sobaszek; 54321; ETI; II rok; DataScience)

W wiadomości zwrotnej zostaną przesłane szczegółowe informacje, a także linki z dostępem do kursu.

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Projekt współfinansowany ze środków Unii Europejskiej w ramach Europejskiego Funduszu Społecznego, Program Operacyjny Wiedza Edukacja Rozwój 2014-2020 "PL2022 - Zintegrowany Program Rozwoju Politechniki Lubelskiej" POWR.03.05.00-00-Z036/17