Praktix is a next-generation education platform redefining how talent is developed by bridging the gap between academia and real-world industry.

Operating at the intersection of education, industry, and practical execution, Praktix delivers structured, outcome-driven programs designed to prepare students and professionals for actual career demands — not just theoretical knowledge.

Through internships, mentorship, and hands-on projects led by global industry experts, Praktix empowers learners to build real portfolios, gain practical experience, and transition seamlessly into the workforce. By connecting universities, companies, and professionals on a single platform, Praktix creates an ecosystem where learning translates directly into measurable career outcomes.

Are you ready to move beyond theory and build real-world AI solutions?

Praktix offers a hands-on AI & Machine Learning Internship (3 Months) designed to give students and recent graduates real-world experience in artificial intelligence, machine learning models, and data-driven applications.

Developed in collaboration with industry experts in Germany, this program focuses on practical implementation, real datasets, and structured mentorship — ensuring participants build measurable outcomes and industry-relevant skills.

Tasks

As an AI & Machine Learning Intern, you will:

Work on real-world AI challenges, collaborate in structured teams, and build machine learning models that simulate real industry workflows.

You will gain hands-on experience in developing intelligent systems, working with real datasets, and applying AI tools used in modern companies.

This internship is designed to help you build strong technical confidence, develop a portfolio of AI-based projects, and prepare for future roles in data science, machine learning, and AI engineering.

Requirements

Technical Skills:

* Basic understanding of Python programming

* Familiarity with data analysis concepts

* Interest in Machine Learning and Artificial Intelligence

* Basic knowledge of libraries such as Pandas, NumPy, or Scikit-learn is a plus

* Understanding of statistics fundamentals is an advantage

Soft Skills:

* English Level: B2 or higher

* Strong willingness to learn and explore new technologies

* Problem-solving mindset

* Ability to work independently and collaboratively

* Good communication and time-management skills

Program Fee:

3-Month Internship: €1,399

Special Limited Offer:

Participants who register before the end of April will receive an exclusive 20% discount on the program fee.

Benefits

* Machine Learning fundamentals and model building

* Data preprocessing and feature engineering

* Model evaluation and performance improvement

* Working with real-world datasets

* AI workflow development

* Portfolio project development aligned with industry standards

HOPn

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