Coursera

Introduction to Digital Transformation (Coursera)

Offered by Siemens,
Introduction to Digital Transformation (Coursera)

This course is primarily for professionals, college students, and advanced high school students who are interested in driving the digital transformation by integrating automation, software, and cutting-edge technologies. This course represents a foundational introduction to Digital Transformation, appropriate for learners with a basic familiarity with common business terms and concepts and an interest in digital technology.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

To succeed in this course, learners should bring their curiosity about how new developments in technology are shaping the way businesses and entire industries operate. This course has no formal prerequisites.
This course focuses on how technology can be used as a competitive advantage in today’s business environment. First, current trends in computing, visual, connectivity and artificial intelligence are outlined with an emphasis on their impact to businesses. Next, we look at digital tools for design, manufacturing, and usage of products. Finally, we look at the applications of these technologies and digital tools across eight key industries.
Upon completion of this course, you will be able to:

  • Summarize digital transformation - what, how and why
  • Outline important technical trends within today’s economy
  • Identify digital tools that can be applied to transform business processes
  • Apply digital transformation to a variety of industries

Syllabus

WEEK 1
An Introduction to Digital Transformation
In this module, you will be introduced to structure and format of the course. You will learn about course resources. Then, you will be introduced to an overview of digital transformation. At the end of the week, you will be introduced to how digital transformation operates in the Automotive and Heavy Machinery industries.

WEEK 2
Technology Trends - Computing & Visual
During week two of the course, you will begin your examination of some key digital transformation trends. You will begin with computing and visual trends this week. Then, you will examine technologies related to these key trends. At the end of the week, you will be introduced to how digital transformation operates in the Aerospace and Defense Industry.

WEEK 3
Technology Trends - Connectivity
During week three of the course, you will be introduced to another key trend in digital transformation: connectivity. You will explore key technologies related to connectivity. At the end of the week, you will examine how digital transformation operates in the Electronics and Semiconductors Industry. At the end of this week is also our mid-course exam. This will cover all instructional information from weeks one to three.

WEEK 4
Technology Trends - Artificial Intelligence
During week four of the course, you will finish your examination of the key digital transformation trends. The final trend you will review is Artificial Intelligence (AI). You will explore some AI technologies. At the end of the week, you will be introduced to how digital transformation operates in the Medical , and Energy and Utility industries.

WEEK 5
The Product Lifecycle - Ideation, Realization, and Utilization
During the final week of the course, you will learn about each step in the product lifecycle. You will examine how digital transformation occurs during product ideation, realization, and utilization. At the end of the week, you will examine how digital transformation operates in the Consumer Produces and Marine industries. At the end of this week is also our final course exam. This will cover all instructional information from weeks four through five.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Science Companion (Coursera) Coursera
MathWorks

Data Science Companion (Coursera)

Statistics & Data Analysis Data Science

The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview of the ways to integrate multiple tools effectively to solve data science problems.

Jul 3rd 2026
4 Weeks
MATLAB Machine Learning Regression
Details
Developing AI Applications on Azure (Coursera) Coursera
LearnQuest

Developing AI Applications on Azure (Coursera)

Data Science

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Jun 29th 2026
5-12 Weeks
ML Artificial Intelligence Machine Learning
Details
Managing Change when Moving to Google Cloud (Coursera) Coursera
Google Cloud

Managing Change when Moving to Google Cloud (Coursera)

CS: Information & Technology

Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change journey.

Jun 29th 2026
1 Week
Cloud Cloud Computing Google Cloud
Details
Cloud Systems Software (Coursera) Coursera
Georgia Institute of Technology

Cloud Systems Software (Coursera)

CS: Information & Technology Computer Science

This course provides an introduction to programming frameworks and their implementation issues in the Cloud. It explains multiple topics, including: scalable distributed data stores, resource management (for supporting multi-tenancy and elasticity) and virtualization techniques. Optionally, the student will also be guided in the implementation of a basic version of the distributed runtime system for the Map-Reduce programming framework

Jun 29th 2026
5-12 Weeks
Cloud Cloud Computing Cloud Systems
Details
Introduction to Cybersecurity Tools & Cyber Attacks (Coursera) Coursera
IBM

Introduction to Cybersecurity Tools & Cyber Attacks (Coursera)

CS: Information & Technology

This course gives you the background needed to understand basic Cybersecurity. You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals. Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.

Jun 29th 2026
4 Weeks
Security Cloud Computing Malware
Details
Big Data, Artificial Intelligence, and Ethics (Coursera) Coursera
University of California, Davis

Big Data, Artificial Intelligence, and Ethics (Coursera)

Statistics & Data Analysis Data Science

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint.

Jun 29th 2026
4 Weeks
Artificial Intelligence Ethics Big Data
Details
Palo Alto Networks Cybersecurity Foundation (Coursera) Coursera
Palo Alto Networks

Palo Alto Networks Cybersecurity Foundation (Coursera)

Security & Networking

In this course, students will learn fundamental principles associated with the current cybersecurity landscape and identify concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure. Students will also learn how to initially setup and configure security zones, authentication, and policies on a next generation firewall.

Jun 30th 2026
5-12 Weeks
Cryptography Cloud Computing Malware
Details
Sample-based Learning Methods (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Sample-based Learning Methods (Coursera)

Data Science

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning.

Jun 29th 2026
4 Weeks
Learning Artificial Intelligence Machine Learning
Details
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Jun 29th 2026
5-12 Weeks
Business ML Artificial Intelligence
Details
Ensino Híbrido: Personalização e Tecnologia na Educação (Coursera) Coursera
Fundação Lemann,Instituto Península

Ensino Híbrido: Personalização e Tecnologia na Educação (Coursera)

Education

Neste curso, oferecido pela Fundação Lemann em parceria com o Instituto Península, você terá a oportunidade de aprender, a partir de experiências reais, como integrar as tecnologias digitais no seu contexto escolar. As vivências compartilhadas pelos diferentes professores envolvidos neste curso lhe proporcionará reflexões sobre os modelos de Ensino Híbrido e sua relação com a personalização do ensino.

Jun 29th 2026
5-12 Weeks
Education Technology Teaching
Details
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure (Coursera)

Security & Networking

Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come.

Jun 29th 2026
4 Weeks
Cloud Web Services Cloud Computing
Details