Digitalisierung: Die besten Online-Weiterbildungen

Bildquelle:

Für eine Vielzahl meiner Leser steht das aktuelle wirtschaftliche und soziale Leben aktuell weitestgehend still bzw. beschränkt sich auf das engste familiäre Umfeld.
Vielleicht ergibt sich also für den ein oder anderen jetzt eine passende Gelegenheit zur Weiterbildung: Online natürlich, um die geforderte soziale Distanz zu halten.

Sie finden insbesondere bei Udacity und Udemy eine schier endlose Anzahl von spannenden Programmen. Ich beschränke mich hier auf thematisch passende zu meiner Webseite und vor allem auf kostenlose Kurse (plus einem Special), um möglichst allen Lesern ein Angebot zu ermöglichen.
Ich wünsche Ihnen viel Erfolg beim Lernen, aber vor allem: Bleiben Sie gesund!

Self-Driving Fundamentals: Featuring Apollo by Baidu
Through this course, you will be able to identify key parts of self-driving cars and get to know Apollo architecture. You will be able to utilize Apollo HD Map, localization, perception, prediction, planning and control, and start the learning path of building a self-driving car.
Self-Driving Fundamentals: Featuring Apollo by Baidu

Elements of AI
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Elements of AI

How to Build a Startup
In an introduction to the basics of the famous Customer Development Process, Steve Blank provides insight into the key steps needed to build a successful startup.

The main idea in this course is learning how to rapidly develop and test ideas by gathering massive amounts of customer and marketplace feedback. Many startups fail by not validating their ideas early on with real-life customers. In order to mitigate that, students will learn how to get out of the building and search for the real pain points and unmet needs of customers. Only with these can the entrepreneur find a proper solution and establish a suitable business model.

Building a startup is not simply building an execution plan for a business model that the entrepreneur thinks will work, but rather, a search for the actual business model itself.
How to Build a Startup


Product Design
There is nothing more powerful than an idea whose time has come. This course is designed to help you materialize your game-changing idea and transform it into a product that you can build a business around. Product Design blends theory and practice to teach you product validation, UI/UX practices, Google’s Design Sprint and the process for setting and tracking actionable metrics.
Product Design

AWS DeepRacer
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
AWS DeepRacer

Intro to Algorithms
This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected.
Intro to Algorithms

Grundlagen Computer Science
Lerne die Grundlagen, beginne mit der Einführung in Algorithmen
Grundlagen Computer Science

Introduction to Machine Learning
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.

Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.

This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
Introduction to Machine Learning


Intro to Data Analysis
This course will introduce you to the world of data analysis. You’ll learn how to go through the entire data analysis process, which includes:

  • Posing a question
  • Wrangling your data into a format you can use and fixing any problems with it
  • Exploring the data, finding patterns in it, and building your intuition about it
  • Drawing conclusions and/or making predictions
  • Communicating your findings

You’ll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that’s cleaner, more concise, and runs faster.
Intro to Data Analysis


Introduction to TensorFlow Lite
Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. You’ll get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, you’ll have all the skills necessary to start deploying your own deep learning models into your apps.
Introduction to TensorFlow Lite

SPECIAL (Udacity in Kooperation mit BMW, nicht kostenlos): AI for Business Leaders
Master the foundations of artificial intelligence so you can strategically implement AI in your company. Leverage machine learning technologies to power corporate growth, increase efficiency, and enhance customer experiences.
AI for Business Leaders

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