AI-Upskilling for experienced professionals.
Build a practical understanding of artificial intelligence — from core concepts to real-world use cases. Follow the path that fits your needs: AI Engineering for hands-on technical roles, or AI Project Management for leading and delivering AI initiatives.
Between 4 to 6 months, fully funded for job seekers.
AI-Upskilling for experienced professionals.
Build a practical understanding of artificial intelligence — from core concepts to real-world use cases. Follow the path that fits your needs: AI Engineering for hands-on technical roles, or AI Project Management for leading and delivering AI initiatives.
In 16 weeks, fully funded for job seekers.
Where our Alumni work
Growing demand for AI leaders in Germany
Top salary prospects for in-demand AI roles
Junior / Entry
55.000 – 70.000 € / Year
Entry-level roles after a bootcamp or initial hands-on experience
Mid-Level
65.000 – 80.000 € / Year
AI Consultant · Product Owner Data & AI
Senior / Leadership
110.000 – 135.000 €+ / Year
Lead Consultant Data Science · Senior AI PM
Why you should build AI skills now
AI is transforming the job market — those who upskill now secure better roles, higher salaries, and long-term career security.
80%
Companies are making AI the standard.
AI is no longer an experiment. In Germany, companies are increasingly integrating AI into products, processes, and decision-making.
30%
Higher pay with AI skills
Professionals with AI expertise earn higher salaries and move into senior and lead roles more quickly.
3x
Stronger job growth in the AI space
AI roles are growing significantly faster than the overall job market — especially in data, project, product, and management functions.
Choose the AI path that fits you best
Both programs follow the same AI lifecycle — from understanding problems to creating real-world impact. The difference is where you focus your skills.
AI Project Management
Lead AI initiatives. Own the outcome.
WHO THIS IS FOR
Experienced professionals who want to lead AI initiatives end-to-end — from strategy and business case to delivery and adoption. This includes senior project managers, product owners, consultants, engineers, and functional leaders who want to bridge AI technology with business outcomes and take ownership of high-impact AI projects.
WHAT YOU’LL LEARN
Learn how to guide AI initiatives from ideation to delivery in real-world environments. You’ll explore data preparation, machine learning basics, deep learning concepts, cloud deployment techniques, and production considerations — all integrated with agile project management, stakeholder engagement, compliance, and strategic decision-making so you can lead AI projects with confidence.
OUTCOME ROLES
You’re prepared to work hands-on with AI in roles like AI Engineer, Machine Learning Engineer, Data Scientist, or MLOps Engineer, with a path toward senior, architect, or technical leadership positions.
AI Engineering
Build, deploy, and scale real AI systems.
WHO THIS IS FOR
Experienced technical professionals who want to build and own AI systems end-to-end — by deepening their engineering expertise. This includes senior software developers, tech leads, engineers, and technical leaders who want to specialize in machine learning, MLOps, and production-grade AI architectures.
WHAT YOU’LL LEARN
How to turn real data into intelligent systems and deploy them reliably. You’ll learn how to engineer and scale end-to-end AI solutions — from data preparation and exploratory analysis to building, evaluating, and deploying machine learning models. You’ll work with Python and industry tools like SQL, Docker, cloud platforms, and modern ML frameworks while applying best practices in software engineering, model evaluation, and production deployment.
OUTCOME ROLES
You’re prepared to work hands-on with AI in roles like AI Engineer, Machine Learning Engineer, Data Scientist, or Applied AI Engineer.
For a long time, AI was just a buzzword to me. Today, I can make informed decisions, evaluate business use cases, and confidently lead AI projects.
Florian W
Project Manager ⟶ AI Project Manager
What you need to get started
3 things you should bring
- Initial professional experience or project know-how
- Interest in digital topics and AI
- Motivation to learn in a hands-on, structured way
3 things you don't need
- No programming skills or coding background required
- No IT Background
- No experience with AI-Models
Why neuefische
7.000+ Alumni
Tech, data, and project professionals from across Germany who upskilled hands-on with neuefische and now work in a wide range of digital roles.
10+ Years Experience
Years of experience in hands-on tech education — with proven learning formats, clear structure, and a strong focus on real-world business requirements.
Hands-on focus
You’ll work on concrete tasks, hands-on exercises, and your own capstone project — allowing you to clearly demonstrate your newly acquired skills instead of just learning theory.
Ready for your next career step?
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