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Students
مصاريف
تاريخ البدء
وسيلة الدراسة
مدة
12 months
حقائق البرنامج
تفاصيل البرنامج
درجة
الدورات
تخصص رئيسي
Artificial Intelligence | Data Analytics | Data Science
التخصص
علوم الكمبيوتر وتكنولوجيا المعلومات
توقيت
لغة الدورة
إنجليزي
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2024-03-01-
2024-07-01-
عن البرنامج

نظرة عامة على البرنامج


Deakin University's Graduate Certificate of Artificial Intelligence for Business empowers professionals with the knowledge and skills to implement AI strategies in business organizations. The program covers ethical considerations, commercial AI software applications, and challenges in business settings. With a focus on transferable skills, graduates gain a competitive edge in the growing AI job market.

مخطط البرنامج

Degree Overview:

The Graduate Certificate of Artificial Intelligence for Business from Deakin University equips students with the knowledge and skills necessary to implement AI thinking within business organizations. With the increasing demand for AI solutions, professionals are encouraged to develop their digital and soft skills and invest in transferable skills to meet market demands.


Objectives:

  • Formulate ethically responsible, AI-driven business strategies.
  • Use existing commercial AI software in practical business contexts, including marketing, supply chain management, and finance.
  • Explore the challenges and pitfalls associated with using commercial AI software in business settings.

Program Description:

The program comprises 4 credit points of study, with a course duration of one year part-time. It can serve as a pathway for further studies.


Outline:

  • Core Units:
  • People Analytics
  • Responsible Artificial Intelligence
  • Artificial Intelligence Strategies and Enterprise Applications
  • Machine Learning in Business
  • Compulsory 0-credit point module:

Careers:

The program provides graduates with valuable foundational knowledge and a sought-after skill set, opening doors to a range of career opportunities in areas such as:

  • Cognitive automation
  • Business process automation
  • Robotics
  • Augmented/virtual reality
  • Machine learning
  • Generative AI
  • Big data analytics
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