Curriculum at a glance
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Next course: March 23, 2026
AI Project Management Bootcamp
Move from aspiring AI enthusiast to confident AI Project Manager with hands-on training in Machine Learning, Deep Learning, AWS Cloud, and Data Collection. Learn to lead AI projects with impact—using Python, prompt engineering, and the latest AI tools.
Full-time | 18 weeks | Remote
No money? No problem. Get 100% financing with the Agentur für Arbeit
Lead the Future with AI Project Management
PythonGitDatabasesMongoDBScrumData Visualization
Lead the future of AI. Master project management skills to drive successful AI initiatives and transform innovative ideas into reality.
Course Overview
What's in store at our AI Project Management bootcamp
Phase 1: Basics & Setup
Start with a solid introduction to the bootcamp, learn effective learning strategies, and lay the foundation for a career in AI project management. You'll set up your technical setup, learn Git workflows, and delve into Python basics, Pandas, and Numpy.
Phase 2: Understanding & preparing data
Work with Pandas and SQL to extract, clean, and prepare data for analysis. Learn how to visualize data meaningfully to gain business-relevant insights.
Phase 3: Exploratory data analysis & project work
Deepen your understanding through an EDA project using real data sets. Present your results to stakeholders, learn basic machine learning concepts, and gain a first insight into project management planning.
Phase 4: Supervised & Advanced Machine Learning
Build a solid foundation in supervised learning techniques – from regression and classification to model evaluation and regularization, decision trees, ensemble methods (bagging and boosting), and hyperparameter tuning. Apply your knowledge in practical ML challenges.
Phase 5: Agile project management for AI
Learn the ins and outs of AI project management. Use Jira and Confluence for planning and documentation, create user stories and PRDs, and implement Agile Scrum methods with all relevant ceremonies.
Phase 6: Deep Learning & NLP
Dive deeper into deep learning architectures—from artificial neural networks to convolutional neural networks. Work with transfer learning and NLP, learn about RAG models, agents, and prompt engineering, and understand the importance of data protection in AI projects.
Phase 7: Deployment & Scaling
Learn the entire model deployment process: from A/B testing to Docker containers and APIs to deployments on Google Cloud. Learn how to monitor, test, and optimize models for scalability in production.
Phase 8: Project Planning & Business Value
Understand how AI projects are evaluated and implemented in a corporate context. Work on risk analyses, feasibility studies, effort estimates, and KPIs. Learn about Green IT practices, GDPR/AI Act compliance, and stakeholder management.
Phase 9: Capstone Project
Start your final project by tackling a real-world business problem with an AI solution—including design thinking, data manipulation, model training, cloud deployment, and compliance aspects. Your capstone project showcases your entire bootcamp journey.
Agile Scrum Methodology
Master Agile Scrum methodology while building backend systems with MongoDB. Learn database architecture and web scraping to collect and process real-world data for AI-powered applications
Python
Automate tasks, test code, and build AI apps with Streamlit using Python.
AI Architectures
Learn deep learning, Big Data with PySpark, and how to build AI-powered apps using LangChain.
Backend AI
Build REST APIs, containerize models with Docker, and deploy AI using AWS SageMaker and CI/CD.
OOP & Ethics
Learn business basics, OOP, and sustainable, compliant practices for scalable AI development.
Design Thinking
Apply creative problem solving to data with Python, visualization, and user-centric design.
Career Service
Ready for the real world.
What good are skills without getting a foot in the door? We focus extensively on helping you ace real world technical interviews.
Coaching built for you.
We believe that development is continuous, so we offer up-to-date career coaching sessions to help you progress professionally.
Beyond the technical.
Changing careers is more than learning new tech skills. We additionally provide you with spot on soft skills to ace your application process.
Your next step.
Wondering ‘what’s next’? We're connected with exciting startups and companies in Germany.
Where Spicedlings work
Spicedlings are getting hired by your favourite companies:
Financing Options
Invest in your future
Bildungsgutschein
If you’re registered as unemployed (or soon to be) in Germany, you could be eligible to have all your costs covered with a Bildungsgutschein (training voucher).
For more information on this option, check our page dedicated to financing your coding bootcamp with a Bildungsgutschein.
Deferred Payment
We want to make our best-in-class tech courses available to everyone with the motivation to complete them.
Our Deferred Payment Option enables those who aren’t in the position to pay upfront nor in instalments to participate, by offering the chance to pay back at a later date.
Full Payment
If you’re ready to cover the cost of our coding bootcamps immediately, this is the option for you. Pay 14 days before the course starts.
Application & Dates
18 Weeks | Full-time
FAQ
How does SPICED Academy support students during the AI Project Management bootcamp?
At SPICED Academy, we're dedicated to your success. Throughout the bootcamp, our experienced instructors and mentors will guide you, answer your questions, and provide valuable feedback tailored to AI Project Management. Our learning environment encourages independent exploration, ensuring you get the most out of your AI Project Management Journey with us.
I'm new to AI Project Management. Is this a problem for the AI Project Management bootcamp training?
Our course is designed to take you from an intermediate level to beyond. If you're new to AI Project Management, be sure to check out our AI Project Management program.
What sets SPICED apart from other AI Project Management Bootcamps?
SPICED stands out by focusing on hands-on experience and preparing you for real-world AI Project Management scenarios. Our supportive community creates an environment where you can excel and thrive as a AI Project Manager and beyond. We emphasize practical skills and industry relevance, equipping you with the necessary tools for success in programming beyond the classroom.
What are the average salaries for AI Project Managers in Germany?
In Germany, AI Project Management salaries vary based on factors such as location, experience, and technical expertise. On average, experienced professionals can command salaries ranging from €70,000 to €90,000 per year, with senior roles reaching up to €120,000 depending on the industry and company size.
I’m interested in managing AI projects—how does the AI Project Management Bootcamp equip me for this specific role?
Smart and timely question! The AI Project Management Bootcamp bridges traditional IT project planning with AI-specific challenges like model deployment and data risk mitigation, giving you the tools to manage AI-centered initiatives confidently.
🤖📊 Here's what the bootcamp covers:
AI lifecycle management: Understanding how to oversee data collection, model training, validation, deployment, and monitoring. Risk and bias assessment: Identifying and mitigating bias, ensuring GDPR compliance, data privacy, and ethical review checkpoints. Cross-functional communication: Working with AI engineers, data scientists, DevOps and product teams using Scrum or hybrid frameworks. Tool familiarity: Using Jira or Azure DevOps to handle backlog items, sprint planning, user stories specific to AI features. Typical duration and cost: Full-time bootcamps run ~10–14 weeks; part-time ~24 weeks. Tuition costs range €7,000–€12,000, and many providers are listed in KURSNET/meinNOW, so you can explore funding via a Bildungsgutschein.
💬 “After finishing the bootcamp, I led roles in deploying a sentiment analysis model at a Berlin AI startup—ensuring timely delivery and ethical validation was central to my project manager role.”
✅ If your goal is to manage AI projects in Berlin or Europe, this bootcamp equips you with structured knowledge of both AI technology and project execution methodologies.
How much background tech knowledge do I need before starting an AI Project Management Bootcamp?
A valid concern—many bootcamp seekers come from non-tech fields, but a baseline familiarity will help you flourish more quickly.
🌱 Recommended prep before Day 1:
- Basic familiarity with data science terminology—what is model training, dataset splits, features vs. labels.
- Light exposure to REST APIs or dataset ingestion pipelines—understanding how endpoints connect to services.
- Agile concepts like sprints, backlog grooming, retrospectives—even a reading of the Scrum Guide (free online) helps.
Bootcamp onboarding:
- Often includes a prep module with glossaries, short tutorials, or sandbox exercises on cloud platforms.
- Mentorship is available for early weeks so beginners can ask questions freely.
💬 “I came in without knowing what ‘CI/CD’ meant. The bootcamp’s first sprint explained deployment pipelines and API versioning in approachable terms.”
✅ You don’t need coding skills—but if you take around 10 hours to complete a free Agile intro or model deployment tutorial before the bootcamp, you'll feel more confident on Day 1.
What thousands of Spicedlings say
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