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Project management - specialization.

Learn how to set up projects professionally from the ground up and bring them successfully to completion. You’ll work with traditional, hybrid, and agile methods, use Jira and Confluence, and leverage AI tools for planning and management.

Part time
4 weeks (VZ)
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:

Project Life Cycle
Agile methods
Data- and AI-Driven Project Management
  • Explain the basic principles of project management and the project life cycle
  • Select appropriate methods (traditional, hybrid, agile) for different project situations
  • Formulate the business case, project objectives, and scope clearly and in measurable terms
  • Estimate resources, create project plans, and document them in Confluence
  • Applying Agile Methods—Scrum and Kanban—at a Practical Level and Implementing Them in Jira
  • Manage risks, resources, and costs, and track performance using data-driven insights
  • Implementing Change Control and Conflict Management Throughout the Project Lifecycle
  • Using AI Specifically for Planning, Communication, and Risk Management in Projects
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:
Project Life Cycle
Agile methods
Data- and AI-Driven Project Management
  • Explain the basic principles of project management and the project life cycle
  • Select appropriate methods (traditional, hybrid, agile) for different project situations
  • Formulate the business case, project objectives, and scope clearly and in measurable terms
  • Estimate resources, create project plans, and document them in Confluence
  • Applying Agile Methods—Scrum and Kanban—at a Practical Level and Implementing Them in Jira
  • Manage risks, resources, and costs, and track performance using data-driven insights
  • Implementing Change Control and Conflict Management Throughout the Project Lifecycle
  • Using AI Specifically for Planning, Communication, and Risk Management in Projects

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.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

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.

What our graduates say.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

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."
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Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
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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!"
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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."
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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."
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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."
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Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
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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!"
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Get personal advice now.

We will help you choose the right training program for your data career and advise you on the path to funding.

Free of charge, without obligation and simply over the phone.

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+8,000 graduates
93 % Completion rate
AZAV-certified

FAQ

Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.

Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.

With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.

This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts 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.