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AI Project Management Training
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Course Content
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Keyfacts
- Full-time: 4 months (Mon - Fri, 9h - 18h)
- Participants: approximately 15
- Location: Remote
- Course language: English
- Certificates: AI Project Management
Tech Stack
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.
Your hands-on training for a future-proof career
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!
Starting dates
The next dates: AI Project Management Training
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.
May | 26th May – 19th Oct ‘26 | Full-Time | Remote | English | Secure seat |
|---|---|---|---|---|---|
Jul | 6th Jul – 27th Nov ‘26 | Full-Time | Remote | English | Secure seat |
Aug | 31st Aug – 29th Jan ‘27 | Full-Time | Remote | English | Secure seat |
Curriculum
This is what you learn in our AI Project Management – AI Solutions & Applied Machine Learning Bootcamp
Course orientation, learning strategies, installation, Command line & Git
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.
AI project lifecycle, Python & Agile principles
Participants transition into technical skills with Python basics and are introduced to the core concepts of AI-Driven Project Management (AIPM) and Agile methodologies.
SQL, storytelling & visualization
Students learn to handle data using Pandas, NumPy, and SQL, while also mastering soft skills like stakeholder management and storytelling with data.
EDA lecture, EDA project execution & presentations
Participants apply data cleaning and visualization techniques in a practical project, culminating in a presentation to non-technical stakeholders.
Linear Regression, Model Evaluation & OKRs
Introduction to core ML concepts including Linear Regression, evaluation metrics, and the business framework of OKRs and KPIs.
Logistic regression, Distance metrics & KNN
Deep dive into classification algorithms (Logistic Regression, KNN, Decision Trees) and Agile product definition via User Stories.
Feature engineering, Ensembles methods & Software architecture
Advanced modeling techniques with Feature Engineering and Ensemble methods, plus understanding software architecture fundamentals from a PM perspective.
ML Project scoping
Understanding the legal landscape (GDPR, AI Act) and starting the major ML data product project.
Model performance & presentation
Finalizing ML models and learning how to validate product decisions using A/B testing and feasibility analysis.
Neural network & Prioritization strategy
Introduction to Neural Networks (ANN, CNN) and PM methodologies for estimation and prioritization.
NLP & AI Product strategy
Exploring Natural Language Processing and Prompt Engineering while learning to build strategic AI product roadmaps.
NLP, Prompt engineering, Applied LLM strategies
Leveraging Large Language Models for business cases, understanding RAG (Retrieval Augmented Generation), and AI system architecture.
Building a system for private business documents
Implementing RAG systems and using "Vibe Coding" to prototype rapidly with AI tools.
Standardizing AI connections to enterprise data
Deep dive into Model Context Protocol (MCP) and scoping AI Agent workflows for enterprise.
AI Agents project
Presenting Agent projects, applying Design Thinking principles, and launching the final Capstone.
Prototyping, User research & Capstone deliverables
Validating capstone ideas through discovery, user research, and prototyping before development.
Finalization of the Capstone project and preparation of the final presentation.
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