Applications of AI
Micro-DegreeOnline

Applications of AI

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Program Details

  • Language: English
  • Fees: €900
  • Study Mode: Full-time / Part-time
  • Registration Deadline: 30th September 2027
  • Entry requirements:
    • High school diploma or equivalent
    • Basic computer literacy
    • English Level B1 (CEFR) or equivalent

Study Access

Pay for one quarter and have access to the learning materials for 6 months, with the option to extend access if needed.

Program Coordinator

Prof. Dr. Raad Bin Tareaf
Prof. Dr. Raad Bin Tareaf

About This Course

Over the course of 8 weeks, students will explore how AI is applied across Healthcare, Social Media, Finance, Human Resources, and IoT & Smart Farming, integrating conceptual foundations with practical demonstrations. A central component of this module is the use of large-scale, publicly available datasets from each of these domains. Together, we will learn to clean and preprocess data, explore and interpret relevant features, and address domain-specific challenges in handling heterogeneous data sources.

Building on this foundation, we will train, compare, and evaluate both classical machine learning models and deep neural networks, gaining a systematic understanding of their performance across different tasks. The full AI pipeline (from raw data to predictive insight) will be critically assessed, with emphasis on model evaluation, interpretability, and the generation of deep insights within each application domain.

Learning Objectives

By the end of this course, you will be able to:

  • Understand the motivation, fundamentals, and terminology of AI applications across multiple domains
  • Analyze domain-specific datasets and apply suitable preprocessing and feature engineering techniques
  • Implement and compare classical machine learning algorithms and deep learning architectures
  • Evaluate models using appropriate metrics and error analysis for each domain
  • Critically discuss the opportunities, challenges, and ethical implications of AI adoption in healthcare, social media, finance, HR, and smart farming
  • Develop a project pipeline that demonstrates end-to-end application of AI to real-world problems

Requirements

  • Students should have basic knowledge of machine learning concepts, programming experience in Python, and familiarity with AI libraries such as TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS, Azure, or GCP) and version control tools (e.g., Git) is helpful but not required.
  • Teamwork and communication skills are essential for successful project completion.

General Information

  • Teaching Format: Combination of pre-recorded lectures, guided demos, weekly self-tests, homework assignments, and a final project.
  • Total Workload Master: 125h (40h contact / 85h self-study) / 5 ECTS
  • Total Workload MBA: 100h (40h contact / 60h self-study) / 4 ECTS
  • Total Workload Micro Degree: 125h (40h contact / 85h self-study) / Equivalent to 5 ECTS
  • Module coordinator: Prof. Dr. Raad Bin Tareaf
  • Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.
  • Offered: Even quarters

Frequently Asked Questions

German UDS offers a range of cutting-edge digital programs in MBA, Master’s Programs and Micro-Degree Programs. Please refer to our University’s Study program page for further details.

Micro-Degree Programs:
- No specific requirements
Master’s Programs:
- Bachelor’s degree in a relevant field with a minimum grade of 2.5 (German system) or equivalent
- English: Minimum B2
Additional requirements may apply (e.g., work experience for MBA & M.A. programs). Visit our admissions page for full details.

For our study programs you can apply as follows:

  • Micro-Degree Programs:
    Micro-Degree programs can be booked directly on our Micro-Degree page. Simply browse our available Micro-Degrees and enroll immediately without any application process.
  • MBA and Master’s Programs:
    01 Register/Login
    Begin by creating an account.
    After creating a new account, you’ll receive an email with a verification link. Click the link to verify your email address before proceeding.
    If you already have an account, simply log in to continue.
    02 Start Your Application
    After filling out the form, be sure to check your email. You will receive a message from us containing a direct link to start your application.
    Go to the “Start your Application!” and begin your application journey.
    Note: This option becomes available only after completing the registration and login.

MBA programs: €7,500 per year
Master’s programs: €7,500 per year
Micro-Degrees: €900 per program
For full details, visit the official admissions page.

Reliable high-speed internet connection
Computer (Windows or Mac) with webcam and microphone

Student life at German UDS is designed for maximum flexibility, enabling learners to study anytime, anywhere, and at their own pace. Whether enrolling in a free course or a full degree program, students have full access to online course materials and complete assignments within set deadlines, making it easy to balance education with personal and professional commitments. In addition to academic flexibility, students also enjoy a vibrant virtual campus experience through COVE – our Campus of Virtual Education. COVE provides an immersive digital environment where students can hang out in virtual spaces like the cafeteria, lounge, or library. It’s a place to connect, chat, and build friendships beyond the classroom. Regular online events, social gatherings, and themed meetups offer students opportunities to network, collaborate, and be part of a supportive international community.