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Free online courses

We help experts and decision-makers deepen their AI expertise by providing in-depth free educational offerings such as online courses for SMEs, general AI training for the public, and certified programs.

Enter the world of AI technologies

Our mission is to equip decision makers with the knowledge to responsibly bring the latest AI technologies into the enterprise and create a future we want to live in.

The free online courses below will help you get started in the world of AI and understand use cases.

The MLOps Workbook: A Guided Online Course for Getting Started with MLOps

This course will help you and your team understand the concepts and best practices needed to scale up your Machine Learning Operations (MLOps) in your machine learning projects.

Aim of the course:

  • What are the perspectives on MLOps?
  • What are the key considerations and best practices necessary for effective project planning in an ML project?
  • What are the specific improvements applicable to each stage of the ML Lifecycle?
  • What are the responsibilities of the various ML Accountabilities throughout the ML Lifecycle?

AI Essentials: A Comprehensive Introduction

This introductory online course provides a comprehensive overview of Artificial Intelligence (AI).

Aim of the course:

  • What is AI and machine learning? What are the differences with neural networks and deep learning?
  • What are the use cases? What are the benefits, risks, limitations, and regulatory issues?
  • What are the types of machine learning?
  • What are the most commonly used algorithms?

KI-Campus: „Introduction to AI“

As part of the appliedAI- Institute for Europe, the learning offer "Introduction to AI" of UnternehmerTUM GmbH aims at introducing the essential technical aspects and functionalities of AI to a broad target group.

Aim of the course:

  • What is AI? Why is it important to deal with the topic?
  • What new capabilities does machine learning bring? How do these come about?
  • What are the risks that come with AI? How can we deal with them?
  • What impact will AI have on our future? How can we prepare ourselves?

Elements of AI

This is an AI online course with a technical approach. The course combines theoretical knowledge transfer with practical exercises, and the participants can determine their own learning pace.

Aim of the course:

The following questions will be answered in the course:

  • What is AI?
  • What can AI do (and what can it not do)?
  • And how are AI methods developed?

Responsible and ethically correct use of Artificial Intelligence

In this microlearning course, we talk about such issues by using stories to show how the implementation of AI applications can be done ethically and responsibly. We want to tell these stories from the perspective of those who use the AI applications.

Aim of the course:
The following questions will be answered in the course:

  • How do I know if the AI application is fair?

  • To what extent should I be involved in the development of an AI application?

  • How are the decisions of the AI application made?

Foundations of AI

AI Basic Course for Business - Foundations of AI is a free learning opportunity on the topic of Artificial Intelligence (AI).

The entry-level course can be taken at your own learning pace and is specifically designed for individuals who work in a corporate setting.

Aim of the course:

  • Why should companies engage with AI?
  • Where and how can companies use AI?
  • What are the limitations and risks of using AI in companies?
  • What is the impact of using AI in the enterprise?

AI competence for SMEs

An AI Application Course for SMEs - Responsible & Ethical Use of AI - Microlearning Online Course. appliedAI, together with the funding priority "Mittelstand-Digital" of the German Federal Ministry of Economics and Climate Protection, has developed a free online course on the introduction of AI specifically for small and medium-sized enterprises.

Aim of the course:

The following questions are to be answered in the course:

  • Does AI make sense for my company?
  • How can I get started with AI in my company?
  • What is the approach so that I do not stop at experiments or thought constructs with my company?