AI+ Program Director – Practitioner™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Strategic AI initiatives require clear leadership, structure, and a deep understanding of technology, organization, and impact. This offering combines a management perspective with practical classification of modern AI programs and creates confidence in dealing with complex, data-driven projects.

Key topics

Planning and controlling AI programs.
Governance, ethics, and regulatory frameworks.
Integration of AI into business processes.
Collaboration between specialist departments and technology.
Assessment of benefits, risks, and scalability.

Prerequisite
Basic understanding of digital business models, IT structures, or data-based projects.

Target group
Specialists and managers, project and program managers, innovation and digital managers with a focus on AI.

Clear concepts, sound classification, and a structured view of AI programs strengthen the ability to anchor technological developments effectively, responsibly, and sustainably in organizations.

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course content

Fundamentals of AI for Program Strategies – Introduction

Understanding AI, ML, and deep learning
AI lifecycle and real-world applications
Social impact of AI
Use case: Triage system (AI for emergency services)
Case study: Recommendation system for retail (personalization of the customer experience).
Practical exercise: Creating a simple AI classifier with Teachable Machine.

Identification of AI opportunities and use cases

Introduction of frameworks for aligning AI strategy: AI canvas, value vs. feasibility matrix.
Signs that a process can benefit from AI Repetitive tasks, data-rich environments, need for personalization.
Prioritization techniques: weighted assessment, risk-adjusted ROI.
Use case: Financial AI – Fraud detection systems with AI.
Case study: AI-driven project management system for a program director
Practical exercise: Create a board with Trello and prioritize AI opportunities within a specific scenario.

Governance and ethics in AI

Principles for responsible AI
Bias and risk mitigation in AI
Use case: Reviewing bias in AI-supported recruitment to ensure fair hiring practices.
Case study: Mitigating algorithmic bias in credit scoring models to ensure fair lending practices.
Practical application: Using Google's What-If tool in Google Colab to evaluate the fairness and bias of models.

Life cycle and integration of AI projects

AI project planning and CRISP-DM
Integration: Develop in-house, purchase, or collaborate with partners?
Tools for AI project management.
Use cases: AI for predictive maintenance (asset management in manufacturing).
Tool-based practical exercise: Simulation of an AI project in Asana.

Data strategy and infrastructure for AI

Data management and quality
Setting up data pipelines for AI
Management of sensitive data
Use case: Retail warehouse management system – AI-driven reordering and demand forecasting.
Case study: Data security in healthcare – protecting patient privacy in AI-based healthcare systems.
Hands-on exercise with tools: Setting up Airbyte Cloud and building a basic data pipeline.

AI integration – develop, buy, or cooperate?

Evaluation of AI solutions
Evaluation and management of providers
Use case: Selecting an AI provider – selecting predictive maintenance solutions for a production facility.
Hands-on exercise with tools: Evaluating AI vendors using a vendor selection template (Google Sheets).

AI risk management and compliance

Regulatory framework
Identification and mitigation of biases.
Use case: Bias in facial recognition (law enforcement systems).
Case study: AI in finance: Ensuring compliance in AI applications.
Tool-based practical exercise: Bias testing and fairness assessment with KNIME and Google PAIR Facets Fairness Explorer.

AI tools and techniques for project management

AI project management tools
Data management tools
Case study and use case: AI workflow management: Using project management tools for AI implementation in retail.
Tool-based practical exercise: Using Asana to simulate project schedules, setting up tasks and milestones for an AI initiative.

Leadership in the field of AI

Leading AI teams and change management.
Stakeholder management and communication.
Use case: AI in manufacturing: Leading AI implementation in a large manufacturing company.
Tool-based practical exercise: Using Miro to visualize communication strategies for stakeholders and identify key influencers.

Scaling AI initiatives

From pilot project to full implementation.
Maturity models for AI in companies.
Use case: Scaling AI in retail: Global expansion of AI-powered recommendations.
Tool-based hands-on exercise: Creating a scaling roadmap with Lucidchart that outlines the key steps for scaling AI initiatives.

Future trends in AI

Emerging AI technologies
Use case/case study: AI in autonomous vehicles: The future of AI in self-driving cars.
Tool-based practical exercise: Getting to know Hugging Face Transformers for NLP and TensorFlow for deep learning applications.

Capstone Project & Presentation

Overview of the Capstone Project
Presentation & Feedback
Final assessment & certification – method, process, and feedback mechanism

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is AI+ Project Management Practitioner™?

A training course for the professional use of AI in project management—with a focus on planning, control, analysis, and decision support using AI tools.

What content is taught?

Topics covered include AI-supported planning, resource management, risk assessment, decision-making, and compliance in project environments.

What are the necessary requirements?

Basic knowledge of project management and a fundamental technical understanding are helpful, but not mandatory.

Which AI tools will be covered?

The practical use of modern AI solutions such as Copilot, automation tools, analysis platforms, and generative AI applications will be demonstrated.

Is the degree internationally recognized?

Yes, AI+ Project Management Practitioner™ is a globally active organization with internationally recognized certifications in the field of AI and business transformation.

Is there an exam at the end?