Curriculum at a glance
The most up-to-date, effective tech stack on the market:
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.



Lead the future of AI. Master project management skills to drive successful AI initiatives and transform innovative ideas into reality.
What's in store at our AI Project Management – AI Solutions & Applied Machine Learning bootcamp
This week sets the stage for the bootcamp. Participants get to know the program team, the roadmap, and the "Manual of Me." They set up their technical environments (VSCode, Python) and learn the fundamentals of command-line operations and version control with Git.
Participants transition into technical skills with Python basics and are introduced to the core concepts of AI-Driven Project Management (AIPM) and Agile methodologies.
Students learn to handle data using Pandas, NumPy, and SQL, while also mastering soft skills like stakeholder management and storytelling with data.
Participants apply data cleaning and visualization techniques in a practical project, culminating in a presentation to non-technical stakeholders.
Introduction to core ML concepts including Linear Regression, evaluation metrics, and the business framework of OKRs and KPIs.
Deep dive into classification algorithms (Logistic Regression, KNN, Decision Trees) and Agile product definition via User Stories.
Advanced modeling techniques with Feature Engineering and Ensemble methods, plus understanding software architecture fundamentals from a PM perspective.
Understanding the legal landscape (GDPR, AI Act) and starting the major ML data product project.
Finalizing ML models and learning how to validate product decisions using A/B testing and feasibility analysis.
Introduction to Neural Networks (ANN, CNN) and PM methodologies for estimation and prioritization.
Exploring Natural Language Processing and Prompt Engineering while learning to build strategic AI product roadmaps.
Leveraging Large Language Models for business cases, understanding RAG (Retrieval Augmented Generation), and AI system architecture.
Implementing RAG systems and using "Vibe Coding" to prototype rapidly with AI tools.
Deep dive into Model Context Protocol (MCP) and scoping AI Agent workflows for enterprise.
Presenting Agent projects, applying Design Thinking principles, and launching the final Capstone.
Validating capstone ideas through discovery, user research, and prototyping before development.
Finalization of the Capstone project and preparation of the final presentation.
The most up-to-date, effective tech stack on the market:
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
Automate tasks, test code, and build AI apps with Streamlit using Python.
Learn deep learning, Big Data with PySpark, and how to build AI-powered apps using LangChain.
Build REST APIs, containerize models with Docker, and deploy AI using AWS SageMaker and CI/CD.
Learn business basics, OOP, and sustainable, compliant practices for scalable AI development.
Apply creative problem solving to data with Python, visualization, and user-centric design.

What good are skills without getting a foot in the door? We focus extensively on helping you ace real world technical interviews.
We believe that development is continuous, so we offer up-to-date career coaching sessions to help you progress professionally.
Changing careers is more than learning new tech skills. We additionally provide you with spot on soft skills to ace your application process.
Wondering ‘what’s next’? We're connected with exciting startups and companies in Germany.
Spicedlings are getting hired by your favourite companies:
Invest in your future
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.
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.
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.
20 Weeks | Full-time
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.
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.
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.
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.
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.
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:
Bootcamp onboarding:
💬 “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.
Join our growing lively community and fast track your future to a career in tech
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