AI Manager with Project

Course overview

Artificial intelligence is a key factor in digital transformation. Companies that strategically use AI not only gain efficiency advantages but also actively shape the success of the future. In the modular training program AI Manager with AI Project for practical application, you will learn how to strategically plan, practically implement, and securely integrate AI technologies in your company. This includes everything from data analysis to process automation to AI strategy. Content Data Analysis & Automation for Non-IT Professionals Basics of data analysis Introduction to simple data analysis programs (Excel, Power BI) Data evaluation & visualization Process automation with low-code/no-code tools Tool usage without programming experience Practical examples with Power Automate Use cases from areas such as sales, product development, process optimization, marketing, HR AI-Supported Work Processes & Prompt Engineering AI as a transformative technology How does AI work? Machine learning and neural networks as the core of AI Understanding and categorizing AI keywords Introduction to machine learning Differences between ML, generative AI, and traditional software development Understanding the logic behind AI: unsupervised, semi-supervised, supervised, and reinforcement learning Current state of AI research AI in Professional Life: Innovation Potential & Use Cases from Administration, Industry, Services Effective prompt engineering with generative AI tools with practical relevance Practical exercises with ChatGPT, Copilot, Gemini, etc. Prompt engineering for text, analysis, decision support Governance, compliance & data protection with AI tools: case studies on compliance requirements, handling bias, GDPR compliance in AI projects, EU AI Regulation (AI-Act) Ethics in AI usage: risks of generative AI Impacts on the environment and sustainability Information accuracy Cognitive relief vs. competence development Introduction of AI in the Company Use cases, stakeholder analysis Transfer work in the company Corporate and AI strategy Operational challenges in implementing AI systems Technological infrastructure Agile project methods and AI roadmap Project work "Conceptualization of own AI projects in the operational environment"

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-01-12T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-12T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-12T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-12T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-12T23:00:00.000Z · Berlin · Combined Learning