Curriculum at a glance
The most up-to-date, effective tech stack on the market:
Next course: November 24, 2025
AI Engineering Bootcamp
Push your boundaries. Explore how AI engineering seamlessly combines data science and machine learning to tackle complex web architectures. Master the latest AI technologies with our Data Science and Machine Learning Bootcamp course.
Full-time | 6 Months | Remote
No money? No problem. Get 100% financing with the Agentur für Arbeit
Design your path. Drive your product.
PythonFastAPIDockerMLOpsdbtTensorflowSQLPrefectGrafanaPrometheusScikitPandas
Step beyond your comfort zone and transform from an aspiring AI engineer to an inspiring one. Master data science and machine learning with the most comprehensive curriculum on the market. 🚀
Course Overview
What's in store at our AI engineering bootcamp
Phase 1: Coding & Software Engineering for Data Science and Machine Learning
This is where your data science journey begins! You’ll get hands-on with Python, the go-to language for data science. You’ll also master Git and GitHub, essential tools for managing your code and collaborating with others.
Never used the command line before? No problem! We’ll walk you through the basics of Unix commands, helping you navigate files, automate tasks, and streamline your daily workflows. This phase is your foundation for everything ahead – from data analysis to machine learning!
Phase 2: Exploratory Data Analysis (EDA)
In this phase, you’ll learn how to analyze and prepare data efficiently. With Pandas, you’ll tackle large datasets, clean them, and reshape them to find meaningful insights.
We’ll also cover SQL, a crucial skill for any data professional. You’ll learn how to query databases to extract the information you need to make data-driven decisions. And of course, we’ll help you create beautiful visualizations using Matplotlib and Seaborn to showcase your results.
This phase wraps up with a hands-on project where you’ll conduct a fictional business analysis – just like you would in a real job!
Phase 3: Machine Learning Fundamentals
In this phase, you’ll dive into Supervised Learning and understand how machines learn from data.
You’ll explore regression and classification models, two essential tools in the data scientist’s toolkit. Whether you’re predicting future trends or categorizing data, these models are at the core of modern data science.
You’ll also learn how to evaluate your models using metrics like precision, accuracy, and F1 score. By the end of this phase, you’ll have the skills to build and assess your own machine learning project.
Phase 4: Deep Learning & Advanced Topics
You’ll explore Deep Learning algorithms - starting with neural networks -, l learn how they work and how they can process images, text, and more.
A key highlight is Natural Language Processing (NLP) – how machines understand and process human language. From chatbots to voice assistants, this is where you amp up your game.
We’ll also introduce you to Recommender Systems, the tools behind platforms like Netflix and Spotify.
Phase 5: Machine Learning Engineering
Bring your machine learning models into production. You’ll create APIs and containerize your models with Docker.
Cover cloud deployment, making your solutions scalable and secure in a real-world environment - with the goal that your model doesn't just, but runs reliably in production.
Phase 6: Capstone Project
To wrap up your bootcamp, you’ll put everything you’ve learned into practice with a Capstone Project. You’ll develop your own machine learning solution, deploy it, and ensure it stays reliable over time.
Spiced info events
If you're interested in our further training and would like to learn more before you begin, please feel free to attend one of our information sessions and see which topic is right for you.
Bildungsgutschein: Come Join Our Free Info Webinar!
Get event detilsProgramming
Learn Python, SQL, and object-oriented programming. Use Pandas and NumPy to manage and analyze data efficiently.
Data Analysis
Explore EDA, statistics, and feature engineering. Turn raw data into insights and prepare data for modeling.
Machine Learning
Apply regression, classification, decision trees, KNN, ensembles, clustering, and recommender systems to solve problems.
Deep Learning & NLP
Build neural networks with TensorFlow/Keras. Work with CNNs, transfer learning, and natural language processing with LLMs and AI agents.
Deployment
Use APIs, web scraping, and Streamlit. Deploy and monitor ML models with Docker, MLOps, MLFlow, and cloud pipelines.
Projects & Skills
Complete portfolio projects and capstones. Develop teamwork, agile workflows, communication, and data ethics for real-world impact.
Career Services
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
24 Weeks | Full-time
Online
November 24, 2025 - June 3, 2026
FAQ
How does SPICED Academy support students during the Data Science and Machine Learning 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 advanced programming. Our learning environment encourages independent exploration, ensuring you get the most out of your AI Engineering journey with us.
I'm new to AI. Is this a problem for Data Science and Machine Learning bootcamp training?
Our course is designed to take you from an intermediate level to beyond. If you're new Data Science and AI, be sure to check out our Data Science & AI program.
What sets SPICED apart from other AI Engineering - Data Science and Machine Learning bootcamps?
SPICED stands out by focusing on hands-on experience and preparing you for real-world AI engineering scenarios. Our supportive community creates an environment where you can excel and thrive as a developer. 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 Engineers in Germany?
In Germany, AI engineer salaries vary based on factors such as location, experience, and skill level. On average, experienced professionals can command salaries ranging from €60,000 to €80,000 per year.
I’m passionate about using AI in creative fields—can this bootcamp help me build generative AI tools or creative apps?
Absolutely! Generative AI and creative applications are rapidly growing areas—and yes, top AI Engineering Bootcamps now include them.
🎨🚀 Modules you might find:
- Fine-tuning large language models (LLMs) like GPT for text generation.
- Deploying generative image tools using APIs like Stable Diffusion or DALL·E.
- Integrating generated text or images into web apps or bots via REST APIs.
- Real-time prompts and deployments using platforms like Hugging Face or OpenAI.
Career opportunities: Generative AI product developer, AI tools builder, creative app engineer—roles that pay €55,000–€70,000+ for entry-level, especially in Berlin or Munich.
💬 “I built a generative AI email assistant in my capstone—assigning personality prompts, deploying via Python API. Recruiters responded fast.”
✅ If you see yourself automating creativity or building AI tools for marketing, storytelling, or design—this track equips you with the architecture and deployment experience to shine.
I’m based in Berlin—what’s realistic salary and job roles I can achieve after finishing the AI Engineering Bootcamp?
Excellent local perspective—Berlin leads in AI startups and scaleups. Entry-level roles and earnings typically include:
1. AI Engineer / ML Ops Associate: €50,000–€65,000/year
2. Machine Learning Engineer (entry-level with deployment experience): €60,000–€75,000
3. Generative AI Engineer: €55,000–€70,000 depending on employer and specialization.
Job pathways: Fintech, adtech, healthcare AI startups; big firms using SageMaker, Deep Learning pipelines, or custom models in production.
💬 “I completed the AI Engineering Bootcamp part-time while job searching. Two months after graduation, I started working at a Berlin AI startup making €62k in a full-stack AI engineer role.”
✅ Bootcamp job support, internships during the course, and open-source project visibility help push your path faster into Berlin’s AI ecosystem.
What thousands of Spicedlings say
Join our growing lively community and fast track your future to a career in tech
Do not miss out.
Subscribe to our newsletter.
Subscribe to our newsletter.
Email address
I would like to receive email updates from SPICED Academy. This decision can be revoked at any time. Information on how we handle your data can be found in our privacy policy.