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Course Content
Become a AI Project Manager - at the neue fische bootcamp
Start your career as an AI Project Manager. Experience a unique bootcamp designed to prepare you to lead AI transformation projects from conception to implementation. Learn from experienced coaches how to bridge technical AI skills with business and project management expertise while ensuring compliance with regulatory requirements such as GDPR and the EU AI Act.
This program offers you a seamless progression of your skills, from identifying AI use cases and mastering machine learning and cloud deployment to agile project management and compliance. Each phase is designed to provide you with in-depth knowledge, hands-on applications, and real-world projects.
In the first 12 weeks, you will dive deep into AI implementation. You will learn Python for data science, data visualization, machine learning, and deep learning. At the same time, you will develop essential skills in design thinking, project management, and regulatory compliance. You will expand your knowledge of data architecture, version control, and cloud technologies, preparing you for real AI projects.
The final 4 weeks are dedicated to your capstone phase. During this time, you will develop a complete AI solution—from modeling to deployment strategy—and create technical documentation to showcase your expertise. Your project will be guided by our coaches and will help you build a portfolio that highlights your skills in the AI industry.
This 18-week program combines solid theoretical foundations with practical, real-world experience, preparing you optimally for your career entry. You will work on real projects, receive personalized feedback, and master tools and methods that are in high demand in the AI industry. In your capstone project, you will demonstrate your abilities and build a portfolio that attracts the attention of leading companies.
With our career coaching, portfolio advice, and targeted application support, you will be well-prepared to launch your career in AI as an AI Project Manager, AI Consultant, or AI Solutions Consultant.
For whom is the AI Project Management bootcamp suited?
Our AI Project Management course is ideal for anyone with a university degree or professional experience who wants to shape the intersection of AI and business. Prior knowledge in mathematics, statistics, and programming languages such as Python and SQL is helpful. If you have an analytical mindset and some experience with machine learning or data management—great! We promote DiversITy, regardless of gender, sexual orientation, social or ethnic background, and welcome everyone who is motivated to successfully manage AI projects: Let’s innovate!
Keyfacts
Tech Stack
The course content, application process, pricing & funding all in one pdf.
Starting dates
Enhance your AI project management skills with our hands-on bootcamp.
Learn how to strategically plan, coordinate, and execute AI projects successfully – from the fundamentals of artificial intelligence to real-world applications in business. Gain essential skills to drive impactful, data-driven AI initiatives.
Sep | 1st Sep – 16th Jan ‘26 | Full-Time | Remote | English | Secure seat |
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Nov | 17th Nov – 1st Apr ‘26 | Full-Time | Remote | English | Secure seat |
Info sessions
Jul 11, 2025
Marsha Empowers is a one-day summit centering TQBIPOC voices and joy beyond Pride Month.
Jul 17, 2025
Are you ready to get started in the world of IT? Find out all about financing bootcamps in our info session on education vouchers.
Curriculum
Lay the groundwork for AI Project Management by exploring Design Thinking principles, the data ecosystem, and Python for data manipulation. Develop a strong foundation in data visualization, statistical visualization, and UI design fundamentals to create compelling insights.
Master Agile Scrum methodology while working with MongoDB NoSQL databases and database architecture. Learn web scraping techniques to collect and process data efficiently, preparing you for real-world AI applications.
Understand how AI integrates into business by studying business fundamentals, Green IT practices, and GDPR compliance. Strengthen your programming skills with Object-Oriented Programming (OOP) for scalable AI development.
Enhance your coding efficiency with Python unit testing, Bash scripting, and Git version control. Learn to develop AI-powered applications using Streamlit, turning data into interactive tools.
Build a solid understanding of machine learning, covering linear regression, classification, decision tree analysis, and critical data thinking. Advance to clustering algorithms, ML pipelines, anomaly detection, and time series analysis for deeper AI insights.
Explore deep learning architectures, including CNNs, RNNs, LSTMs, and reinforcement learning. Work with Big Data tools like PySpark, unlocking the potential of large-scale data processing.
Learn how to develop REST APIs, use Docker containers, and implement ML Ops with AWS SageMaker. Discover how Kubernetes and CI/CD pipelines streamline AI deployment and scalability.
The course wraps up with your personal Capstone Project, marking the completion of the program.
Education must be affordable. Check out all the financing options now.
Our partner companies
In order to receive your education voucher for your retraining from the employment agency, the Jobcenter or the Labour Office, you should register as a jobseeker at an early stage. It is therefore very important that you first make an appointment with the relevant office. It's best to do it now!
The next step on the way to your IT training voucher is quick and easy: Contact us! We will create an official training offer for you that you can then submit to the employment agency, the Jobcenter or the employment office.
Now it's down to the nitty-gritty: With the training offer we have created, you now go back to your responsible office and apply for your training voucher. As soon as it is approved, you can start your new career with us. We look forward to seeing you!
FAQ
A practical project requires careful planning – here's how to proceed:
Use case definition: Choose a real need, e.g., an HR chatbot, sales lead scoring, or automated image analysis.
Stakeholder communication: Explain how you will collect requirements – by phone, survey, or historical data.
Project roadmap: Set time blocks for data acquisition, model training, evaluation, deployment, and reporting – e.g., in Jira or Trello.
Risk management: Identify risks (e.g., bias, data protection, missing data) and plan countermeasures.
Dashboard/demo: Prepare a demo for family members – show how the model works and what organizational impact it has. Duration: 10–14 weeks full-time
Cost: €6,500–10,000, partially subsidized (education voucher, education bonus)
Career prospects: Entry-level position, e.g., as a Junior AI Project Manager – annual salary ≈ €60,000–80,000
Prior knowledge makes many things easier – here's how to build a solid foundation:
Basic understanding of AI/ML: Use free courses (Coursera: ML Foundations) for basic knowledge in regression, classification, and model evaluation.
Project management methods: Learn fresh agile methods (Scrum, e.g., with a product owner, sprints, and retrospectives) via Scrum.org.
Tool know-how: Familiarize yourself with Jira, Confluence, and Mural – many bootcamps use them in a practical way.
Communication skills: Practice stakeholder discussions through role-playing or public speaking exercises – often a plus in everyday project work.
Quick wins: Research and document a small use case example – "Chatbot for inquiries at events." This way, you can bring good examples directly to the course.
This way, you start prepared – your confidence will grow, and you can hit the ground running.
Practical partners are often available – here's how to find them quickly:
Bootcamp collaborations: Many providers bring partner companies to the bootcamp. Ask about topics and selection processes early in onboarding.
LinkedIn outreach: Connect with CMOs, AI teams, and innovation managers; write personally and ask for mini-projects or advice.
Veteran networks: Alumni are often helpful – ask specifically about practical projects or potential clients.
Regional associations: The XING group "AI Munich" or "Data Science Berlin" often post requests for short pilot projects.
University labs: Inquire at universities with AI/AI research groups – students welcome practical contacts.
Tip: At least 2–3 pitches will lead you directly to real-life use cases – ideal for your portfolio and future roles.
Yes, you can start right away – if you prepare your positioning cleverly:
Focus on use cases: Concentrate on a few, clearly defined areas of application such as "AI in customer service," "automated texts," or "internal knowledge bots."
Portfolio projects: Use your final project as a showcase. Document it in a PDF or on a mini landing page with screenshots, flowcharts, and business impact.
Calculate daily rates realistically: As a beginner, you should start at €350–500/day – depending on the use case, tools, and self-confidence.
Industry experience through collaborations: If you don't come from a specific industry, seek out freelance partnerships or contact startups – many need AI project support.
LinkedIn positioning: Target keywords like AI project management for SMEs or AI use case consulting without tech jargon – this will make it easier for recruiters and companies to find you.
💡 Conclusion: Even without 10 years of professional experience, you can establish yourself as a freelance AI project professional – with positioning, references and commitment.
Clearly! Here's what you should prepare for:
Public sector:
Long decision-making processes, data protection is a high priority
Projects often in pilot mode or as feasibility studies
Very documentation-intensive (specifications, committee feedback)
Startups:
Fast, dynamic, little structure – you're often PM, data analyst, and Scrum Master all rolled into one 😅
Experimentation encouraged – risk is part of the culture
Budget decisions are made ad hoc, often without extensive coordination
Corporations:
Clear role allocation, project managers often only responsible for PM tasks
Long lead times – projects are usually planned for >12 months
High standards in stakeholder management, reporting, and budget responsibility
Depending on your style – whether you're more structure-oriented or adventurous – it's worth making a conscious decision when looking for a job!
Absolutely – there are many funding options if you know where to look:
Education voucher (employment agency): Many AI bootcamps are AZAV-certified. Ask your contact at the employment agency about funding via Kursnet and education vouchers.
Education bonus: In some federal states, you can have up to 50% of the course costs covered – provided you work part-time or earn below certain thresholds.
Foundations & funds: Organizations such as the START Foundation or FuturE Foundation specifically support education for people with a migration background.
Parents with part-time entitlement: Some bootcamps offer flexible part-time models or childcare during on-campus sessions – be sure to ask!
Regional offerings: North Rhine-Westphalia, Berlin, Hamburg, and Bavaria sometimes offer their own continuing education subsidies for digital skills development.
📌 Tip: Be sure to get free coaching from an educational advisor before booking – many will only support you if you apply for funding before the course starts.