Curriculum at a glance
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Next course: June 15, 2026
AI Modeling Bootcamp Remote
From skilled to specialized – our AI Modeling Bootcamp equips you with practical, in-demand skills in AI, machine learning, and data modeling to thrive in the world of modern artificial intelligence.
Full-time | 6 Weeks | Remote
No money? No problem. Get 100% financing with the Agentur für Arbeit
Learn to expand your skills in artificial intelligence, data modeling, and machine learning.
Course Overview
What you'll learn at our AI Modeling Bootcamp
Basics of AI & Python for Data Science
In your first week, you'll build a solid foundation for your AI journey. You'll learn to navigate the Bash command line, work with Git & GitHub, and refresh your Python skills using NumPy, Pandas, and Matplotlib. You'll explore and visualize data, formulate initial hypotheses, and conduct exploratory data analysis – culminating in a team-based mini project.
Supervised Learning: Classification
You’ll dive into machine learning with a focus on classification problems. Alongside an introduction to AI, ML, and DL concepts, you’ll explore supervised learning techniques. Using scikit-learn, you’ll build your first classification models, optimize them through feature engineering and hyperparameter tuning, and evaluate them with industry-standard metrics. Your project: predicting Titanic passenger survival.
Supervised Learning: Regression
This phase focuses on regression techniques in supervised learning. You'll work with time series data, apply linear regression and regularization, and explore techniques to avoid overfitting. You'll also dive into gradient descent as a core machine learning principle and refine your Python function skills. All of this is applied in a project forecasting bikeshare demand.
Advanced Machine Learning & Unsupervised Learning
Advanced Machine Learning & Unsupervised Learning
Deep Learning & CNNs
This week is all about deep learning. You’ll explore the structure of artificial neural networks and implement them using TensorFlow and Keras. Key topics include backpropagation, training strategies, and convolutional neural networks. With transfer learning, you'll build your own image classification model based on pre-trained architectures.
NLP, LLMs & AI Agents
In your final week, the focus shifts to language and modern large language models. You’ll explore classic NLP techniques like tokenization, TF-IDF, and sentiment analysis, and dive into LLMs like BERT and GPT. You'll experiment with RAG, fine-tuning, and libraries like LangChain to build your own AI agents – such as an intelligent FAQ bot or analysis tool.
Open House 🏠
Come visit our campus and meet your teachers!
Learn more about our programs and ask your future teachers all your burning questions. 🔥 There’ll be snacks, drinks, and our wonderful team ready to welcome you! 🍻
Foundations of AI & Python for Data Science
From Bash and Git to NumPy and Pandas – covering data analysis, visualization, and your first mini project.
Supervised Learning – Classification
Logistic regression, metrics like F1-score, feature engineering, and hyperparameter tuning.
Supervised Learning – Regression
Focus on linear regression, datetime handling, regularization, gradient descent, and hands-on project work.
Advanced ML: Trees, Ensembles & Unsupervised
Decision trees, random forests, boosting (XGBoost), clustering, PCA & anomaly detection incl. project.
Deep Learning & CNNs
Neural networks with TensorFlow & Keras, backpropagation, CNNs, and transfer learning for image processing.
NLP & LLMs: Applications and Agents
From classic NLP methods to BERT & GPT, RAG, fine-tuning, and building your own AI agents.
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
6 Weeks | Full-time
FAQ
Who is the AI Modeling Bootcamp for?
The bootcamp is designed for job seekers or professionals with a background in IT, software development, or data science who want to deepen their knowledge in artificial intelligence and machine learning.
What qualifications do I need?
Ideally, you have a degree in a STEM field or relevant practical experience in software development. Basic knowledge of Python and statistics is a plus, but not required.
What will I learn in the AI Modeling Bootcamp?
You’ll gain hands-on experience in building and training AI models – from classical machine learning to deep learning and advanced LLM applications like GPT or RAG. Tools include scikit-learn, Keras, TensorFlow, and LangChain.
What career opportunities will I have after the bootcamp?
After completing the program, you’ll be prepared for roles in AI Engineering, Data Science, or MLOps – such as Machine Learning Engineer, AI Developer, or Data Analyst with a focus on AI.
What Spiced graduates say
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