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Unlock the Potential of Machine Learning and AI.

Machine Learning and AI Fundamentals

2550,-€ (excl. VAT)


5 Days/40 Hours


Participants will grasp the fundamental concepts and techniques of Machine Learning and AI. You'll learn to differentiate between various ML models, understand the data preprocessing steps, and get an overview of neural networks and NLP. The course aims to equip you with the knowledge to recognize potential AI/ML applications and consider their implications ethically and practically.

Learning Objectives

A basic understanding of programming (in any language) and mathematics (especially statistics) is recommended. No advanced knowledge of machine learning or AI is required.


This course is ideal for professionals and enthusiasts eager to understand the basics of AI and Machine Learning. It's perfect for those in technical roles considering AI/ML implementation, as well as business leaders and decision-makers seeking to comprehend the capabilities and limitations of these technologies. Educators and students looking to stay abreast of technological advancements will also benefit.

Who Should Attend

Explore the dynamic world of Machine Learning and Artificial Intelligence in this insightful course. Designed to provide a solid foundation, it covers key concepts, algorithms, and tools used in the field. You'll understand how machine learning differs from traditional programming, learn about various models, and see how AI impacts real-world scenarios. Whether you're looking to implement ML/AI strategies in your business or simply curious about the technologies shaping our future, this course will demystify the jargon and concepts, laying a clear pathway for further learning or application.

Course Description

Module 1: Introduction to AI and Machine Learning

Module 2: Understanding Data and Preprocessing

Module 3: Supervised Learning Techniques

Module 4: Unsupervised Learning Techniques

Module 5: Neural Networks and Deep Learning Basics

Module 6: Natural Language Processing (NLP) Fundamentals

Module 7: Reinforcement Learning Overview

Module 8: Ethical Considerations and the Future of AI/ML

Course Outline

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Karl-Gruneklee Strasse 22,

37077, Gottingen


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