NIT Certificate Courses

Bridging Technology and Management

The NIT Northern Institute of Technology Management in Hamburg is renowned for its unique educational approach: empowering engineers and scientists with the business acumen needed to lead in a globalized world.

Their certificate courses (often referred to as Micro-Credentials) are designed for ambitious professionals and lifelong learners who want to gain specialized, high-level expertise without committing to a full multi-year degree program.

Key Features of the NIT Certificate Program

  • Executive Level Content: All courses are taught at a Master’s level by international professors and industry experts.

  • Action-Oriented Learning: The curriculum focuses on "learning by doing," ensuring that you can apply new strategies to your daily work immediately.

  • Interdisciplinary Networking: You will learn alongside a diverse group of international peers, fostering a global mindset and a valuable professional network.

  • Flexibility for Professionals: Most modules are structured to fit the schedules of working professionals, offering a blend of intensive workshops and digital learning.

GENERATIVE AI FOR MANAGERS | Certificate Course image

GENERATIVE AI FOR MANAGERS | Certificate Course

€3,000.00

This intensive 6-day certificate course introduces professionals to the transformative potential of Generative AI. Designed for participants with little to no coding experience, the program bridges the gap between AI technology and strategic business application. Participants will progress from fundamental concepts to developing their own GenAI business cases, gaining hands-on experience with industry-standard tools.

Modul Supervisor: Prof. Dr. Christoph Ihl
Total Workload: 6 ECTS / 180 hrs (48 hrs attendance, 132 hrs self-study)

Learning outcomes of the module:
Upon completion of this module, students will be able to:
• Understand LLM architecture, capabilities, limitations.
• Master advanced prompting techniques.
• Extract structured data from unstructured text.
• Build knowledge bases and implement RAG pipelines.
• Design autonomous agents and implement tool use and multi-step reasoning.
• Analyze business data with the help of GenAI.
• Interpret and communicate ML results with the help of GenAI.
• Apply frameworks to identify valuable GenAI business applications.
• Develop GenAI product proposals.

Course content:
• Introduction to LLMs
• Advanced Prompting & Extraction
• Retrieval-Augmented Generation
• GenAI Agents
• GenAI-Assisted Machine Learning
• GenAI Business Cases

Teaching method:
• Theory/Conceptual Input: Foundation building through lectures, demonstrations, and discussions.
• Guided Lab Session: Instructor-led walkthrough of implementation notebooks.
• Independent/Peer Lab Session: Self-paced or collaborative work on practice notebooks.
• In-Class Assignment: Application of learned concepts to solve business problems.

Language: English
Date: Details on the timing will follow.

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