AI Professional Certificate

Blended learning

Erreichtes Niveau

Mittelstufe

Dauer

 6,00 Monat(e)

2 semesters, with 2 modules per semester. Each module will have one weekly webinar plus complementary course work.

Sprache(n) der Dienstleistung

EN

Nächster Termin

 07.09.2026
Ort
 Online

Preis

400,00€

Wer organisiert diese Schulung?

Das European Business Institute (EBU) ist eine gemeinnützige Wirtschaftshochschule mit Sitz in Luxemburg. Sie bietet flexible, hochwertige Online- und Präsenzprogramme für Studierende aus aller Welt an. Die EBU engagiert sich für Innovation und Inklusion und unterstützt Studierende – insbesondere aus benachteiligten Regionen – durch interaktive Live-Webinare, Blockchain-verifizierte Zertifikate und eine international anerkannte Fakultät zum Erfolg. Die EBU ist auf zukunftsweisende Bereiche wie Künstliche Intelligenz, Cybersicherheit, Blockchain, Robotik und Data Science spezialisiert. Zur Förderung des lebenslangen Lernens bietet die EBU allen Studierenden ein exklusives Stipendium in Höhe von 86 %. Der Code EBULLL25 kann bei der Anmeldung verwendet werden. Treten Sie per Live-Zoom einer kollaborativen und konstruktivistischen Lernumgebung bei, gemeinsam mit Studierenden aus über 60 Ländern.

An wen richtet sich die Weiterbildung?

Graduate level

Voraussetzungen

Some subject area knowledge is required.

Ziele

Gain a solid and structured foundation in Artificial Intelligence through this comprehensive professional certificate. Designed to equip you with both theoretical insight and practical understanding, this program includes four university-level courses.

Inhalt

Module 1: Introduction to AI
Module 2: Machine Learning
Module 3: Deep Learning Fundamentals
Module 4: Natural Language Processing

Behandelte Themen

  • Module 1: The Introduction to Artificial Intelligence course is designed to help learners decode the mystery of Artificial Intelligence and understand its business applications.

The course provides an overview of Artificial Intelligence concepts and workflows, Machine Learning, Deep Learning, and performance metrics.
Students learn the difference between supervised, unsupervised, and reinforcement learning; are exposed to use cases; and see how clustering and classification algorithms
help identify Artificial Intelligence business applications.

  • Module 2: This Machine Learning course examines the automation of data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. Students will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare students for their role with advanced Machine Learning knowledge.
  • Module 3: This module is designed to help students learn the fundamentals of Deep Learning. It will make students familiar with the concepts of Deep Learning, Convolutional neural networks, and the effectiveness of Deep Learning. This course examines the rapidly growing field of Data Science with neural networks.
  • Module 4: This Natural Language Processing course will give Students a detailed look at the science

behind applying Machine Learning algorithms to process large amounts of natural language data. Students will learn the concepts of Natural Language understanding, Feature Engineering, Natural Language Generation and Speech Recognition techniques.

Pädagogische Methoden

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration.

Bewertung

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Zertifikat, Diplom

Certificate issued on the Blockchain

Kursunterlagen

Provided by the instructor at the beginning of the course.

Nächster Termin

Datum
Stadt
Sprache und Preis
07.09.2026

18.12.2026
Online
EN 400,00€

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