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Henrik Blomgren,
Staffan Movin,
and
Ulf Änggård
A must for all business leaders! In the Business Implications of AI: A Nano-course, you will learn what Artificial Intelligence is, from a business leader's point of view.
All the below questions will be answered during the course:
Read more
A must for all business leaders! In the Business Implications of AI: A Nano-course, you will learn what Artificial Intelligence is, from a business leader's point of view.
All the below questions will be answered during the course:
Read more
A must for all business leaders! In the Business Implications of AI: A Nano-course, you will learn what Artificial Intelligence is, from a business leader's point of view.
All the below questions will be answered during the course:
* How shall we, as leaders, understand AI from a corporate strategy point of view?
* What is it and how can it be used?
* What are the crucial strategic decisions we have to make, and how to make them?
* What consequences can we expect if we decide on doing AI projects and what kind of competencies do we need?
* Where shall we start, and what could be a good second as well as a third step?
* What implications for the organization can we expect?
Future proof your career with this course and be in the know!
Register for this course and see more details by visiting:
OpenCourser.com/course/9d4vjx/business
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What's inside
Syllabus
Me, myself and AI - Or, is it about You and Your business?
Welcome to this "Nano-course" on The Business Implications of AI. It is an overview on this topic. If you find it of interest, the "Full course" is available for enrollment at: https://www.coursera.org/learn/business-implications-ai-full-course
Read more
Syllabus
Me, myself and AI - Or, is it about You and Your business?
Welcome to this "Nano-course" on The Business Implications of AI. It is an overview on this topic. If you find it of interest, the "Full course" is available for enrollment at: https://www.coursera.org/learn/business-implications-ai-full-course
Read more
Heads up
One step back, before stepping forward again
Heading on
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
A good fit for business leaders looking to understand Artificial Intelligence (AI) from a corporate strategy perspective
Taught by three (3) esteemed instructors: Henrik Blomgren, Staffan Movin, and Ulf Änggård
Covers a range of relevant topics, including the strategic implications of AI, how to make informed AI-related decisions, and the potential impact on organizations
Offers a nano-version of this course, providing a concise overview of the Business Implications of AI
Additional courses may be required to gain a more comprehensive understanding of the topic
Save this course
Save Business Implications of AI: A Nano-course to your list so you can find it easily later:
Save
Save
Reviews summary
Engaging nano-course on ai for business
Learners say this nano-course provides a great introduction to AI and its practical applications in business today. Many students remark on the engaging and easy-to-understand nature of the course, particularly for those with limited AI knowledge. However, a few learners express concerns about some grammatical errors in written materials and a couple believe that the content could be expanded.
Focuses on real-world business applications of AI
"Gives a good summary of the AL impact on business"
"I learned a lot about AI and possible uses"
"Great learning on AI the future of technology"
Well-structured and easy-to-follow lessons
"Good overview of AI usage & its significance for business world today"
"A great and easy to understand introduction"
"Good first course as an introduction to AI just to get your interest up on topic."
"The course was very informative and sparked some ideas for further learning and exploration"
Introduces AI for learners with little prior knowledge
"Short course, great content. Introductory level"
"This course provides managerial understanding of AI"
"A very short course for knowledge"
"Great Nano Course, it has changed the perspective on How AI need to be seen as technology and how we can use it in business"
Highly rated by learners
"This course is really helpful"
"Excellent Course"
"nice course"
"Excellent !"
Some students express desire for more in-depth coverage of AI
Written materials occasionally contain errors
"The course was very informative and sparked some ideas for further learning and exploration. Some of the written content needed editing, mainly for grammar. If this were cleaned up, I would rate it a 5-star."
"Improvements to the transcript (English) and question phrasing (English) would be extremely beneficial"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Business Implications of AI: A Nano-course with these
activities:
Review basic foundational concepts
Show steps
Revisit the basics of data analysis and machine learning to strengthen your understanding of AI concepts.
Browse courses on
Data Visualization
Show steps
-
Review linear algebra and calculus.
-
Revisit probability and statistics.
Create a curated AI resource repository
Show steps
Organize and collect valuable AI resources to facilitate your learning journey and future reference.
Show steps
-
Gather relevant articles, videos, tutorials, and datasets.
-
Categorize and organize the resources.
-
Create a central repository for easy access.
Explore open-source AI frameworks
Show steps
Enhance your skills by exploring open-source AI frameworks and their applications to deepen your understanding.
Browse courses on
TensorFlow
Show steps
-
Choose an open-source AI framework to explore.
-
Follow tutorials and documentation to learn its features.
-
Experiment with different AI models using the framework.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a simple AI application
Show steps
Apply your knowledge by building a basic AI application to gain practical experience in AI development.
Browse courses on
AI Development
Show steps
-
Choose a simple AI project idea.
-
Gather the necessary data and resources.
-
Develop and train your AI model.
-
Evaluate and improve your AI application.
Attend an AI workshop or conference
Show steps
Engage with experts and practitioners at an AI workshop or conference to expand your knowledge and network.
Browse courses on
Artificial Intelligence
Show steps
-
Identify and register for an upcoming AI workshop or conference.
-
Attend the event and actively participate in sessions.
-
Network with fellow attendees and speakers.
Contribute to an open-source AI project
Show steps
Gain hands-on experience and collaborate with the AI community by contributing to an open-source AI project.
Browse courses on
Machine Learning
Show steps
-
Identify an open-source AI project that aligns with your interests.
-
Familiarize yourself with the project's codebase and documentation.
-
Identify an area where you can make a contribution.
-
Implement your contribution and submit a pull request.
Develop a prototype AI solution for a business case
Show steps
Apply your AI skills to address a real-world business challenge by developing a prototype solution.
Browse courses on
AI Development
Show steps
-
Identify a business case that could benefit from an AI solution.
-
Gather data and conduct analysis to understand the problem.
-
Design and develop a prototype AI solution.
-
Evaluate and refine your prototype.
Review basic foundational concepts
Show steps
Revisit the basics of data analysis and machine learning to strengthen your understanding of AI concepts.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review linear algebra and calculus.
- Revisit probability and statistics.
Create a curated AI resource repository
Show steps
Organize and collect valuable AI resources to facilitate your learning journey and future reference.
Show steps
Show steps
Show steps
- Gather relevant articles, videos, tutorials, and datasets.
- Categorize and organize the resources.
- Create a central repository for easy access.
Explore open-source AI frameworks
Show steps
Enhance your skills by exploring open-source AI frameworks and their applications to deepen your understanding.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Choose an open-source AI framework to explore.
- Follow tutorials and documentation to learn its features.
- Experiment with different AI models using the framework.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a simple AI application
Show steps
Apply your knowledge by building a basic AI application to gain practical experience in AI development.
Browse courses on
AI Development
Show steps
Show steps
Show steps
- Choose a simple AI project idea.
- Gather the necessary data and resources.
- Develop and train your AI model.
- Evaluate and improve your AI application.
Attend an AI workshop or conference
Show steps
Engage with experts and practitioners at an AI workshop or conference to expand your knowledge and network.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify and register for an upcoming AI workshop or conference.
- Attend the event and actively participate in sessions.
- Network with fellow attendees and speakers.
Contribute to an open-source AI project
Show steps
Gain hands-on experience and collaborate with the AI community by contributing to an open-source AI project.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify an open-source AI project that aligns with your interests.
- Familiarize yourself with the project's codebase and documentation.
- Identify an area where you can make a contribution.
- Implement your contribution and submit a pull request.
Develop a prototype AI solution for a business case
Show steps
Apply your AI skills to address a real-world business challenge by developing a prototype solution.
Browse courses on
AI Development
Show steps
Show steps
Show steps
- Identify a business case that could benefit from an AI solution.
- Gather data and conduct analysis to understand the problem.
- Design and develop a prototype AI solution.
- Evaluate and refine your prototype.
Career center
Learners who complete Business Implications of AI: A Nano-course will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers are responsible for designing and building AI systems. This course is a must for AI Engineers as it can provide an overview of the business implications of AI. Some AI Engineers work as Data Scientists or Machine Learning Engineers, but the title of AI Engineer more generally implies a more holistic view of the process of designing and building AI systems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and evaluate machine learning models for a variety of applications. This course can be very helpful for Machine Learning Engineers as it can provide an overview of the business applications of AI.
Data Scientist
Data Scientist
Data Scientists build and deploy AI models to gain insights. This course can be very helpful for Data Scientists as it can provide an overview of how AI can be used to solve business problems. As an example, this course can provide insights into how AI can be used to optimize supply chains.
Financial Analyst
Financial Analyst
Financial Analysts help companies make better financial decisions. This course can be very helpful for Financial Analysts as it can provide an overview of how AI can be used to solve financial problems. As an example, this course can provide insights into how AI can be used to build better risk models.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course can be very helpful for Marketing Managers as it can provide an overview of how AI can be used to improve marketing campaigns. As an example, this course can provide insights into how AI can be used to build better customer segmentation models.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. This course can be very helpful for Operations Managers as it can provide an overview of how AI can be used to improve operational efficiency. As an example, this course can provide insights into how AI can be used to build better supply chain management systems.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. This course can be very helpful for Entrepreneurs as it can provide an overview of how AI can be used to build successful businesses. As an example, this course can provide insights into how AI can be used to create better customer experiences.
Consultant
Consultant
Consultants help organizations improve their performance. This course can be very helpful for Consultants as it can provide an overview of how AI can be used to solve business problems. As an example, this course can provide insights into how AI can be used to optimize supply chains.
Business Analyst
Business Analyst
Business Analysts help organizations make better decisions. This course is a must for Business Analysts as it can provide insights into how AI can be used to solve business problems. As an example, this course can provide insights into how AI can be used to improve customer segmentation.
Software Developer
Software Developer
Software Developers design and build software applications. This course can be helpful for Software Developers as it can provide an overview of how AI can be used to build better software. As an example, this course can provide insights into how AI can be used to build better natural language processing (NLP) models.
Human Resources Manager
Human Resources Manager
Human Resources Managers oversee the human resources department of an organization. This course can be helpful for Human Resources Managers as it can provide an overview of how AI can be used to improve human resources processes. As an example, this course can provide insights into how AI can be used to build better employee performance management systems.
Product Manager
Product Manager
Product Managers turn strategic vision into reality - a reality that is in high demand by consumers and clients. A Product Manager leads a team in building software products that meet both business and customer needs. This course is a must for anyone in the Product Management role as it can provide insights into how AI can be used to build better products. As an example, AI can be used to create better recommendation engines for e-commerce sites. As another example, AI can be used to create better chatbots for customer service.
Sales Manager
Sales Manager
Sales Managers lead sales teams. This course can be helpful for Sales Managers as it can provide an overview of how AI can be used to improve sales performance. As an example, this course can provide insights into how AI can be used to build better lead scoring models.
Investment Banker
Investment Banker
Investment Bankers help companies raise capital. This course can be helpful for Investment Bankers as it can provide an overview of how AI can be used to improve investment decisions. As an example, this course can provide insights into how AI can be used to build better predictive models.
Project Manager
Project Manager
Project Managers plan and execute projects. This course can be helpful for Project Managers as it can provide an overview of how AI can be used to improve project management processes. As an example, this course can provide insights into how AI can be used to build better project planning tools.
For more career information including salaries, visit:
OpenCourser.com/course/9d4vjx/business
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Business Implications of AI: A Nano-course.
Save
Provides a comprehensive look at the state of AI in China and the United States, and discusses the implications of AI for the global economy and society. It must-read for anyone who wants to understand the future of AI.
Save
Provides a comprehensive overview of the benefits and challenges of AI for businesses. It covers topics such as AI strategy, AI ethics, and AI implementation. It great resource for anyone who wants to learn more about AI and its potential impact on business.
It great resource for anyone who wants to learn more about the ethical implications of AI.
Provides a comprehensive overview of AI for non-technical readers. It covers topics such as AI history, AI types, and AI applications. It great resource for anyone who wants to learn more about AI without getting too technical.
Explores the problem of aligning AI systems with human values. It must-read for anyone who is interested in the future of AI and its impact on society.
Provides a practical guide to using deep learning for coders. It covers topics such as data preparation, model building, and model deployment. It great resource for anyone who wants to learn how to use deep learning to solve real-world problems.
Save
Explores the potential impact of AI on humanity. It thought-provoking read for anyone who is interested in the future of our species.
Save
Explores the social and ethical implications of AI. It great read for anyone who is interested in the impact of AI on our lives.
Save
Explores the potential future of humanity in the age of AI. It fascinating read for anyone who is interested in the future of our species.
Save
Explores the potential risks and benefits of superintelligence. It must-read for anyone who is interested in the future of AI.
Explores the potential for a technological singularity in the near future. It thought-provoking read for anyone who is interested in the future of technology.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9d4vjx/business
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Level
Introductory
Via
Coursera
Institution
EIT Digital
Instructors
Henrik Blomgren
Staffan Movin
Ulf Änggård
Language
English
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Good to know
A good fit for business leaders looking to understand Artificial Intelligence (AI) from a corporate strategy perspective
Taught by three (3) esteemed instructors: Henrik Blomgren, Staffan Movin, and Ulf Änggård
Covers a range of relevant topics, including the strategic implications of AI, how to make informed AI-related decisions, and the potential impact on organizations
Offers a nano-version of this course, providing a concise overview of the Business Implications of AI
Additional courses may be required to gain a more comprehensive understanding of the topic
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