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Certificate Badge Symbol for award and quality seal.

Project management - specialization.

You will manage projects from inception to completion, using both traditional and agile methods, and leveraging data and AI.

Full/Part time
4 weeks (full-time)
Beginner-friendly
German
Product Manager with focus on AI & Tech

What is project management?

Project management is the structured planning, execution, and evaluation of projects throughout their entire lifecycle. In this specialization, you’ll combine traditional methods with agile approaches and use data and AI to manage projects more efficiently.

Who is this training program suitable for?

This training is designed for entry-level professionals, career changers, and experienced professionals who want to systematically learn project management. You are proficient in Excel and have some experience with AI chatbots and prompting.

For which professional groups is the training relevant?

This training program prepares you for project roles across all industries. It is particularly well-suited for the following positions:

  • As a project manager, you plan and manage projects from initiation through completion
  • As a Product Owner or Scrum Master, you lead agile teams using Jira and effective backlog management
  • As a project team member working on data and AI projects, you understand the specific requirements of these initiatives
  • As someone new to project management, you'll build a solid foundation of methodologies

In this training you will learn:

Business Case
Agile methods
Jira
  • What? You'll develop a business case, define goals and scope, estimate effort and resources, work with Scrum, Kanban, and Jira, and manage projects using KPIs and earned value management.
  • What for? So you can plan projects in a structured way, identify risks early on, and demonstrate the value of your projects.
  • Practice: In the final project, you'll walk through a complete project from initiation to reporting.
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Preparation, Using Data and AI Tools (optional)
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In this preparatory module, you'll brush up on the basics of prompting, LibreChat, and Excel.

2
Initiation, Understanding the Project Context, and Developing the Business Case
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Chapter 1: Project Context and Organizational Environment

You will explain the basic principles of project management and contextualize projects within the organizational environment.

Chapter 2: Project Management Methods

You will learn about traditional, hybrid, and agile methods and select the appropriate method for different project situations.

Chapter 3: Developing and Presenting a Business Case

You will define the purpose and key components of a business case and convince stakeholders with clear arguments.

3
Planning, Defining Project Goals, and Planning Projects
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Chapter 1: Defining Project Goals and Success Criteria

You formulate clear and measurable project goals and define success criteria against which the project will later be evaluated.

Chapter 2: Defining and Managing Project Scope

You define the scope, taking resources, time, and quality into account, and manage it throughout the project.

Chapter 3: Estimate Resources and Create Project Plans

You estimate resources, create project structure plans and milestones, and document everything clearly in Confluence.

4
Execution, Managing Projects, and Leading Teams
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Chapter 1: Effective Project Governance Structures

You’ll establish governance structures that clearly define decisions, roles, and escalation paths.

Chapter 2: A Deep Dive into Agile Project Management Methods

You’ll work intensively with Scrum and Kanban and apply these methods to your day-to-day project work.

Chapter 3: Getting Started with Jira

You’ll use Jira at a practical level for backlogs, sprints, boards, and reports.

Chapter 4: Stakeholder Management and Communication

You identify stakeholders, plan communication tailored to specific audiences, and actively manage expectations.

5
Monitoring and Control
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Chapter 1: Managing Risks, Resources, and Costs

You identify risks, assess them, and define countermeasures. You manage resources and costs throughout the project.

Chapter 2: Deep Dive: Performance Tracking and Data-Driven Project Management

You use Excel and visualizations to make project progress measurable and manage it based on data.

Chapter 3: Change Control and Conflict Management

You manage change requests in a structured manner and resolve conflicts within the team constructively.

Chapter 4: Quality Management Plan and Continuous Improvement

You create a Quality Management Plan and embed continuous improvement into day-to-day project work.

6
Closure, Project Evaluation, and Final Project
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Chapter 1: Project Evaluation

You evaluate project success from multiple perspectives and derive lessons learned that can be applied to future projects.

Chapter 2: Project Closure

You will bring projects to a successful close, hand over results, and ensure knowledge is retained within the company.

Chapter 3: Final Project

You will apply all the methods covered in the training in a continuous practical scenario that maps the entire project lifecycle.

Chapter 4: Outlook on PM Certifications

You’ll gain an overview of advanced certifications such as PSM I and CAPM and plan your next steps.

In this training you will learn:
Business Case
Agile methods
Jira
  • What? You'll develop a business case, define goals and scope, estimate effort and resources, work with Scrum, Kanban, and Jira, and manage projects using KPIs and earned value management.
  • What for? So you can plan projects in a structured way, identify risks early on, and demonstrate the value of your projects.
  • Practice: In the final project, you'll walk through a complete project from initiation to reporting.

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Predictable

Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

The next
start dates.
Training programTraining Date Date/Duration Model
09.11.2026
09.11.2026 3–5 months Full-time
Full-time Apply
09.11.2026
09.11.2026 7–9 months Part-time
Part-time Apply
09.11.2026
09.11.2026 6–7 months Full-time
Full-time Apply
09.11.2026
09.11.2026 12–13 months Part-time
Part-time Apply
23.11.2026
23.11.2026 3–5 months Full-time
Full-time Apply
23.11.2026
23.11.2026 7–9 months Part-time
Part-time Apply
23.11.2026
23.11.2026 6–7 months Full-time
Full-time Apply
23.11.2026
23.11.2026 12–13 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
Project Management (Basics) Project Management (Basics)3 variants 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 3–5 months
    • Part-time - 7–9 months
  • 23.11.2026
    • Full-time - 3–5 months
    • Part-time - 7–9 months
Apply
Project Management Project Management2 variants 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
  • 23.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
Apply

Here's what our participants have to say:.

More than 8,000 graduates have already completed a training program in data and AI skills at StackFuel (a Multiverse Company). Here, some of them share their experiences:

Sebastian Peter Piskalla
Participants
Continuing Education for AI Professionals
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Ninel Kloss
Participant
BI Specialist, Data Analyst, Data Scientist
"During the course, I experienced a lot of positive emotions. The learning process was perfectly organized: there was a lot of important and interesting information, as well as varied and exciting assignments. Not everything I did was always easy for me, but it was always interesting and fun. A special thank you goes to the team of mentors. Whenever you need help, they’re there—patient and professional."
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Georges Kanaan
Participants
Data Analyst Further Training
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Philipp Gehrlein
Participants
AI Automation Expert
"I learned a lot of new and practical things during the training that I can now apply directly in my everyday life and in a professional setting."
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
Shahrouz
Participants
Continuing Education for AI Professionals
"The course was well-structured, practical, and explained clearly. The hands-on exercises with Excel, Word, and PowerPoint, as well as the methods for verifying the results, were particularly helpful."
Michael
Participants
AI specialist
"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."
Ayu Distler
Participant
Python Programmer Training
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
Sandra Wilde
Participant
AI specialist
"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
Ines Bulmahn
Participant
AI & Data Transformation Manager
"The course had a very strong practical component, and I was able to take a lot away from it."

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+8,500 graduates
93 % Completion rate
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FAQ

Our training programs are developed and produced by our in-house team of data scientists and subject matter experts, who provide you, as a participant, with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through one-on-one interaction that all your questions are answered, thereby guaranteeing your learning success. Thanks to our “learning-by-doing“ approach, you’ll learn in our interactive learning environment using realistic datasets and real-world business cases from the industry, perfectly preparing you for a successful career start in a data-related role.
With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to develop your data skills in a hands-on way. In certified training programs, you’ll learn online on weekdays between 8:30 a.m. and 5:30 p.m.—in live, guided sessions featuring 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist and teach you how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.
AI and data have become an integral part of our (professional) lives. Those who understand how to analyze data, use AI tools efficiently, and leverage AI applications possess in-demand skills for the workplace of tomorrow. That’s exactly why people with AI and data skills are particularly valuable to companies—and why new career opportunities are opening up in many industries and professional fields.