An error occurred while loading the video player, or it takes a long time to initialize. You can try clearing your browser cache. Please try again later and contact the helpdesk if the problem persists.
To enable the transcript, please select a language in the video player settings menu.
This course explores the hype and realities surrounding AI, the challenges companies face in using AI profitably, and how Germany is performing in the AI landscape. It offers insights into how AI can power business strategies, be successfully integrated into operations, and scaled for long-term profitable growth. Created for managers and data experts looking to maximize AI’s potential, the course requires no prior experience, though a basic understanding of business strategy, data analytics, and AI concepts is beneficial.
Language: English
English, Deutsch
Beginner, Big Data and AI
Course information
This course provides a comprehensive guide on how to profit from AI by cutting through the hype and addressing common challenges businesses face when attempting to leverage AI for financial gain. Through real-world examples, students will explore how AI can transform operations, drive financial success, and shape competitive strategies for sustainable growth. The course covers essential elements of successful AI adoption, from overcoming technical hurdles to aligning AI initiatives with core business goals. Participants will also assess Germany's position in the global AI landscape, identifying key takeaways from its successes and challenges.
This free online course is supported by the AI Service Center Berlin Brandenburg and funded by the Federal Ministry of Education and Research.
Target Group
Designed for managers, data experts, and decision-makers, the course empowers participants to unlock the full potential of AI within their organizations. While prior knowledge of business strategy, data analytics, and AI concepts is helpful, it is not required for participation in the course.
Course Structure
The course consists of two modules/weeks.
The first module, “The Economics and Strategic Impact of AI,” explores AI’s role in modern business. Students will analyze its economic impact, financial implications, and potential for driving growth, while also critically assessing its limitations. The module covers how to integrate AI with business strategy to enhance profitability and minimize risks.
In the second module, “Organizational Development and AI Deployment,” students will learn how to build AI-ready organizations. This includes developing scalable infrastructure, forming teams for AI success, and implementing governance frameworks for ethical and secure AI use. The module also prepares students for the challenges posed by emerging technologies, such as generative AI, as well as practical tools to address bias and security risks.
By the end of the course, participants will be equipped to make informed decisions about AI strategy, enabling successful integration and long-term value creation for their organizations.
Scope:
The course has a duration of 2 weeks, each of which requires about 3-4 hours of time. Each week contains approx. 60-90 minutes of video material and self-study tasks. At the end of each week there is an additional homework assignment that takes about 60 minutes.
Course contents
Introduction
Module/Week 1: The Economic and Strategic Impact of AI:
This module delves into the transformative role of artificial intelligence (AI) in modern business, with a particular focus on its economic impact, financial implications, and strategic integration. The module is designed to equip students with a comprehensive understanding of how AI can drive business growth, enhance operational efficiency, and create new opportunities for value creation.Module/Week 2: Organizational development and AI deployment:
This module is designed to equip students with the essential tools and knowledge to build and manage an organization, develop effective processes, and implement a technological platform for profitable AI deployment. Additionally, students will gain insights into governance, security, and strategies for addressing bias and adapting to future technologies, namely generative AI.
Enroll me for this course
Certificate Requirements
- Gain a Record of Achievement by earning at least 50% of the maximum number of points from all graded assignments.
- Gain a Confirmation of Participation by completing at least 50% of the course material.
Find out more in the certificate guidelines.
This course is offered by
Elizabeth Press is the Digital Manager at the Center for Hybrid Electric Systems Cottbus (Chesco) and the founder of D3M Labs, a media platform dedicated to profitable and secure digital business. With 20 years of experience in data-driven growth, compliance, and cybersecurity, she has served as Director of Data and led high-performing teams across sectors including manufacturing, banking, and government. Her background spans top-tier consulting, Dell, the German Foreign Office, and Rolls-Royce. Elizabeth holds an MSc from the Stockholm School of Economics and a BA from Tufts University and is a published author.