Real Experience

Experience Is Not an Add-On. It Is the System.

Industry-relevant challenges. Expert supervision. Clear accountability.

Explore project areas See example deliverables
Expert-reviewed work Documented deliverables Hybrid internships · 3–4 months

Students trained

9,000+

University & industry partnerships

16+

Internship tracks

Hybrid · 3–4 months

  • Software Engineering
  • AI Engineering
  • AI Entrepreneurship
  • Digital Business

Applied work, not passive learning

Industry context

Projects are based on practical, real-world challenges rather than purely classroom scenarios.

Expert oversight

Work is supervised by experienced professionals from industry and academia.

Reviewable deliverables

Each participant produces documented output that can be reviewed and presented.

How projects are structured

Step 1

Challenge definition

An industry-aligned problem statement.

Step 2

Planning & scope

Clear milestones and expected output.

Step 3

Execution

Team or individual implementation.

Step 4

Expert review

Structured evaluation and feedback.

Step 5

Final delivery

A finished result, such as a working prototype or a strategic report.

Project areas across our tracks

Software Engineering

Objective: Build a working system under realistic constraints.

Example deliverable: A web or mobile application with technical handover notes.

Architecture APIs Testing Deployment

AI Engineering

Objective: Solve a practical problem with an AI workflow.

Example deliverable: A model or AI feature with an evaluation summary.

Modeling Evaluation Prompting Automation

AI Entrepreneurship

Objective: Turn an AI idea into a structured venture concept.

Example deliverable: A product concept, business model and pitch.

Market research Business models Prototyping Pitching

Digital Business

Objective: Analyze a business challenge and design a digital solution.

Example deliverable: A strategy report, dashboard or transformation roadmap.

Research Data analysis Roadmapping Storytelling

Examples of what participants build

Deliverables vary by project and track.

Software Engineering

  • Web application
  • Backend service or API
  • Technical documentation

AI Engineering

  • Machine learning model with evaluation
  • AI-powered feature or API
  • Automation pipeline

AI Entrepreneurship

  • AI product concept
  • Business model and pitch deck
  • Clickable prototype or MVP

Digital Business

  • Market entry plan
  • Data dashboard
  • Digital transformation roadmap

Supervision that builds capability

Technical guidance

Hands-on direction during execution.

Performance feedback

Structured evaluation sessions.

Strategic perspective

Industry context beyond task completion.

The difference is structural

Traditional learning

How it usually works

  • Theory first
  • Simulated exercises
  • Passive evaluation
  • Certificate-based outcome

The Praktix experience

How we work

  • Execution first
  • Industry-relevant challenges
  • Continuous expert review
  • Deliverable-based outcome

Practical skills are built through execution.

Experience beyond borders

The final week in Germany

Selected internship participants spend the final week of their program in Germany, according to program conditions.

Final project presentation
Feedback from experts
Insight into the European professional environment
Exchange with fellow participants

Looking for a shorter international format? Summer School in Munich · International Tours

Explore internship programs

Your work becomes evidence — not just a line on your CV.

Programs are built around execution, expert review and documented deliverables that you can present in applications and interviews.

  • A professional working mindset
  • Portfolio-ready project work
  • Experience presenting to experts

Real work builds real confidence.

Build a portfolio that feels like real work — because it is.

Execution-first projects, continuous expert review and deliverables designed to be reviewed.

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