Machine Learning and Deep Learning

Course overview

Machine learning and deep learning are central technologies for handling large amounts of data - from automated predictions to self-learning systems. Understanding the connections between classical machine learning and more complex deep learning methods allows you to better categorize AI projects in your professional life. This training introduces you to both areas. What you will learn Fundamental principles of machine learning: data preparation, model types, and evaluation of results Deep learning as an advancement of machine learning through neural networks Topics include image and speech recognition as well as other AI use cases Prompt basics for targeted use of AI tools like ChatGPT and Claude Research with AI support, e.g., product research and preparation for discussions Basic handling of CRM systems for GDPR-compliant documentation Course content The training connects machine learning and deep learning in a common context: both methods are based on learning models but differ in complexity and application areas. Additionally, the fundamentals of AI are linked with research and communication tasks, such as handling information and customer data. Who is this training for This training is suitable for individuals interested in data analysis and AI technologies who want to acquire basic knowledge of machine learning and deep learning - even without prior relevant experience. A lateral entry from commercial or technical professions is possible. Your qualification The training concludes with a certificate from the provider. Your prospects The acquired basic knowledge of machine learning and deep learning supports you in entering data-related fields, such as data analysis or AI-supported customer contact.

Upcoming dates

• 2026-09-29T22:00:00.000Z · 2027-02-17T23:00:00.000Z · Aachen · Combined Learning
• 2026-09-29T22:00:00.000Z · 2027-02-17T23:00:00.000Z · Zwickau · Combined Learning
• 2026-09-29T22:00:00.000Z · 2027-02-17T23:00:00.000Z · Zittau · Combined Learning
• 2026-09-29T22:00:00.000Z · 2027-02-17T23:00:00.000Z · Würzburg · Combined Learning
• 2026-09-29T22:00:00.000Z · 2027-02-17T23:00:00.000Z · Wuppertal · Combined Learning