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Making AI Projects a Success

Launching and Managing AI Projects and Effectively Integrating Them into Day-to-Day Business Operations

Presence and online
2 days
German
Download PDF
€ 1.490,-
plus VAT.
€ 1.773,10
incl. VAT.
Booking number
42812
Venue
at 4 locations
4 dates
€ 1.490,-
plus VAT.
€ 1.773,10
incl. VAT.
Booking number
42812
Venue
at 4 locations
4 dates
Become a certified
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
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In-house training
In-house training just for your employees - exclusive and effective.
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In cooperation with
In cooperation with
ITech Progress
Every day, companies launch new AI initiatives to become more efficient and remain competitive. However, AI projects often fail due to a lack of project frameworks, unclear requirements, and insufficient integration into the organization. This is precisely why confident project managers are needed project managers the interface between business units and IT. In this interactive training, you’ll learn how to manage AI projects in a structured way—from the initial analysis to stable implementation—and successfully integrate them into day-to-day operations. You’ll work with tried-and-true methods and best practices, such as the 4-phase model for AI implementations: process inventory, piloting, rollout, and continuous optimization. You’ll also bring your own AI project ideas to the training and take appropriate methods, checklists, and templates back to your company right away.
Contents

Fundamentals and Framework Conditions for Sustainable AI Projects

  • A Refresher on the Basics of AI: Potential, Limitations, and Typical Applications.
  • Understand the unique characteristics of AI projects compared to traditional IT projects.
  • Assessing AI Readiness: Culture, Process Maturity, System Landscape, Data Management.
  • Process and system inventory, capability map, identifying media breaks.
  • Identify scope creep early and take action to prevent it.

Project Launch and AI Project Architecture

  • Building an AI Project Team: Roles, Responsibilities, Change Agents.
  • The 4-Phase Model in Practice: Discover, Design, Develop, Deploy.
  • Record requirements, prioritize them, and continuously refine the scope.
  • Define two success metrics: engagement and quality.
  • Business Case and Budget: Realistically Calculate License and Token Costs and TCO.

AI Project Management and Stakeholder Management

  • Identify typical pitfalls in AI projects early on.
  • Analyze stakeholders and engage them in a targeted manner.
  • Systematically identify and assess risks.
  • Measure progress, identify deviations, and take effective corrective action.

Rollout, Adoption, and Sustainable Implementation

  • From a pilot project to a productive system using the traffic-light system as a rollout canvas.
  • Testing and Hypercare: Ensuring quality, security, and reliable results in production.
  • Optimize change management and actively foster acceptance.
  • Establish feedback loops and improvement cycles.
  • Building data network effects: Every interaction makes the system better.

Your Digital Add-On: To complement the training, you’ll receive free access to additional digital learning resources afterward. These include an e-learning course on initial applications of AI in project management, as well as a guide on how to use AI as your personal learning companion or coach to help you apply what you’ve learned in your day-to-day work.

Learning environment

In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.

Your benefit
  • You build on your project management knowledge and specialize in a targeted manner.
  • You understand the unique aspects of AI projects and know what matters most when it comes to planning, management, and adoption.
  • You assess the current state of your organization in a structured manner as the basis for every AI decision.
  • You set up AI pilot projects using the 4-phase model and know when to scale up and when to make adjustments.
  • You actively manage stakeholders, change, and risks, and ensure that your project doesn't fizzle out after the pilot phase.
  • You'll walk away with methods, checklists, and templates that you can put to use right away in your next AI project.
  • You will establish the use of AI systems within the company on a long-term basis and continuously improve them.
trainer
Darav Taha
Methods

Technical insights with case studies from real AI projects. Hands-on individual and group exercises based on participants’ own projects. Proven methods and templates to take home: Capability Map, 4-Phase Model, Traffic Light System as a Rollout Canvas, Business Case Calculator, Adoption Dashboard, Risk Matrix. Group discussion and sharing of experiences. The workshop actively incorporates participants’ real-world examples and projects.

Please bring your own laptop (including the charging cable, etc.) to training.

Final examination
Recommended for

project managers, project managers owners process managers owners are responsible for the day-to-day management and implementation of AI projects within their companies. This course is particularly well-suited when the strategic direction of the AI initiative has already been established and implementation is now set to get underway in a structured manner.

Eligibility requirements:

Operational experience and basic knowledge of project management (comparable to the content of the “Project Management Basics” seminar), as well as a basic understanding of how to work with AI and the relevant terminology.

Start dates and details

Form of learning

Learning form

14.12.2026
Online
Places free
Implementation secured
Online
Places free
Implementation secured
14.1.2027
Online
Places free
Implementation secured
Online
Places free
Implementation secured
1.2.2027
Cologne
Places free
Implementation secured
Cologne
Places free
Implementation secured
22.4.2027
Munich
Places free
Implementation secured
Munich
Places free
Implementation secured
17.6.2027
Frankfurt a. M./Offenbach
Places free
Implementation secured
Frankfurt a. M./Offenbach
Places free
Implementation secured
16.8.2027
Hamburg
Places free
Implementation secured
Hamburg
Places free
Implementation secured
9.9.2027
Online
Places free
Implementation secured
Online
Places free
Implementation secured
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Do you have questions about training?

Call us on +49 761 595 33900 or write to us at service@haufe-akademie.de or use the contact form.

The illustrations were created in cooperation between humans and artificial intelligence. They show a future in which technology is omnipresent, but people remain at the center.
AI-generated illustration