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Anamaria Dutceac Segesten

This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative.

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This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative.

The lives of people all over the world are increasingly enhanced and shaped by artificial intelligence. To organisations there are tremendous opportunities, but also risks, so where do you start to plan for AI, business and the future of work?

Whether you are in the public or private sector, in a large organisation or a small shop, AI has a growing impact on your business. Most organisations don’t have a strategy in place for how to make AI work for them.

The teacher, Anamaria Dutceac Segesten, will guide you through the topics with short lectures, interviews and interactive exercises meant to get you thinking about your own context.

12 industry professionals, AI experts and thought leaders from different industries have been interviewed and will complement the short lectures to give you a broad overview of perspectives on the topics. You will meet:

Kerstin Enflo

Professor in Economic History

Lund University

Dr. Irene Ek

Founder

Digital Institute

Samuel Engblom

Policy Director

The Swedish Confederation of Professional Employees

Pelle Kimvall

Lead Solution Ideator

AFRY X

Joakim Wernberg

Research Director, Digitalisation and Tech Policy

Swedish Entrepreneurship Forum

Marcus Henriksson

Empathic Leader of AI & Automation and Digital Business Development

Empathic

Johan Grundström Eriksson

Board Advisor, Innovation Management & Corporate Governance

Founder & Chairman, aiRikr Innovation AB

Jakob Svensson

Professor in Media and Communication Studies

Malmö University

Ulrik Franke

Senior Researcher

RISE Research Institutes of Sweden

Björn Lorentzon

Nordic Growth Lead

Sympa

Anna Felländer

Founder

AI Sustainability Center

Prof. Fredrik Heintz

Associate Professor of Computer Science

Linköping University

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What's inside

Syllabus

Introduction to AI in work and business
You will be introduced to key concepts in the area of AI and given the historical context from which AI as a technological revolution takes place.
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What AI can do
You will be introduced to how the power of AI can be recruited for your organisation.
Risks with AI
You will be introduced to the possible risks of introducing AI to your organisation.
AI and the future of work
You will be introduced to future scenarios of human-machine interaction.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches a survey of the AI applications that are available within businesses and industries
Features interviews with 12 industry professionals, AI experts, and thought leaders
Taught by instructors who emphasize the impacts of AI on business
Hits upon necessary risks and potential benefits of AI for businesses and organizations
Covers the future and its challenges regarding AI in the workplace
Includes interactive exercises to promote reflection on AI in learners' own contexts

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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 AI, Business & the Future of Work with these activities:
Review your notes and slides from previous AI courses or workshops
Refresh your memory on key concepts and reinforce your understanding.
Browse courses on AI
Show steps
  • Gather your notes and slides from previous AI courses or workshops.
  • Review the materials and take additional notes if necessary.
  • Test your understanding by answering practice questions or taking a mock test.
Join a study group or online forum for AI
Connect with fellow learners, ask questions, and share knowledge.
Browse courses on AI
Show steps
  • Find a study group or online forum.
  • Introduce yourself and start participating.
  • Ask questions, share your insights, and help others.
Read 'Introduction to Artificial Intelligence' by Philip C. Jackson Jr.
Get an overview of AI's fundamental concepts and applications.
Show steps
  • Read the book from cover to cover.
  • Take notes on the key concepts.
  • Complete the exercises at the end of each chapter.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Gain a deep understanding of the theoretical foundations of deep learning.
View Deep Learning on Amazon
Show steps
  • Read the book from cover to cover.
  • Take notes on the key concepts.
  • Work through the exercises in the book.
Follow online tutorials on AI from Coursera or edX
Learn from experts and gain practical skills through structured tutorials.
Browse courses on Machine Learning
Show steps
  • Choose a platform (Coursera or edX).
  • Enroll in a course that aligns with your interests.
  • Follow the lessons and complete the exercises.
  • Engage in discussions with other learners.
Practice AI coding challenges on LeetCode or HackerRank
Develop proficiency in coding AI solutions.
Browse courses on Algorithms
Show steps
  • Choose a platform (LeetCode or HackerRank).
  • Start solving easy problems.
  • Gradually move on to harder problems.
  • Review your solutions and learn from your mistakes.
Develop a prototype AI application
Apply your knowledge of AI to build a practical solution.
Browse courses on AI Development
Show steps
  • Define the problem you want to solve.
  • Choose an appropriate AI technique.
  • Develop a prototype.
  • Test and evaluate your prototype.
  • Refine and iterate your prototype.
Contribute to an open-source AI project on GitHub
Gain hands-on experience and connect with the broader AI community.
Browse courses on Open Source
Show steps
  • Find an open-source AI project on GitHub.
  • Read the project's documentation.
  • Identify an area where you can contribute.
  • Fork the project and make your changes.
  • Submit a pull request.

Career center

Learners who complete AI, Business & the Future of Work will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Engineer
AI, Business & the Future of Work from Lund University can be a helpful resource for an Artificial Intelligence Engineer. This course covers how to best implement AI within an organization. This knowledge can be applied to designing, building, and maintaining AI systems, which are used in fields like banking, healthcare, and retail.
Data Scientist
AI, Business & the Future of Work can assist a Data Scientist by facilitating an understanding of AI from a business perspective. This course will provide a solid basis for comprehending the potential benefits and risks associated with deploying AI solutions, enabling you to make informed decisions and develop effective strategies.
Machine Learning Engineer
As a Machine Learning Engineer, you could benefit from taking AI, Business & the Future of Work from Lund University. This course offers valuable insights into the practical applications of AI in business settings, enabling you to design and implement AI models that drive innovation and efficiency within organizations.
Business Analyst
For professionals seeking a career as a Business Analyst, AI, Business & the Future of Work is a recommended course. It provides a comprehensive overview of how AI can transform business operations, empowering you to identify opportunities for growth, improve decision-making, and drive strategic initiatives.
Product Manager
AI, Business & the Future of Work is a valuable resource for aspiring Product Managers. This course enhances your understanding of the role of AI in product development, enabling you to create innovative products that meet the evolving needs of tech-savvy customers.
Software Engineer
AI, Business & the Future of Work can aid a Software Engineer wanting to specialize in AI development. This course offers a comprehensive understanding of AI principles and their application in real-world business scenarios, enabling you to design and build robust and effective AI-powered software solutions.
AI Consultant
If your goal is to become an AI Consultant, AI, Business & the Future of Work from Lund University can provide valuable insights. This course will equip you to advise organizations on effectively integrating AI into their operations, driving innovation, and achieving competitive advantages.
IT Manager
AI, Business & the Future of Work can help an IT Manager stay abreast of the latest AI advancements. This course provides insights into the business applications of AI, enabling you to make informed decisions about AI adoption and implementation within your organization's IT infrastructure.
Data Analyst
AI, Business & the Future of Work can be beneficial for aspiring Data Analysts. This course provides a solid understanding of AI techniques and their application in business contexts. It will empower you to extract valuable insights from data, enabling you to make informed decisions and contribute to data-driven decision-making.
Marketing Manager
For those aspiring to become a Marketing Manager, AI, Business & the Future of Work is a recommended course. This course covers the integration of AI in marketing strategies, empowering you to leverage AI tools and techniques to enhance customer engagement, optimize campaigns, and drive business growth.
Operations Manager
AI, Business & the Future of Work could assist an Operations Manager in understanding AI's impact on business operations. This course provides insights into how AI can improve efficiency, optimize processes, and enhance decision-making, enabling you to drive operational excellence within your organization.
Risk Manager
AI, Business & the Future of Work may be useful for a Risk Manager aiming to incorporate AI into risk management practices. This course explores the potential risks associated with AI implementation and provides strategies for mitigating these risks, enabling you to safeguard your organization from AI-related threats.
Strategy Consultant
If your career goal is to become a Strategy Consultant, AI, Business & the Future of Work from Lund University may be helpful for you. This course will provide you with insights into how AI can reshape business strategies and drive competitive advantage. This knowledge will enable you to advise clients on developing and implementing effective AI strategies.
Technology Analyst
AI, Business & the Future of Work can be a valuable resource for Technology Analysts. This course provides insights into the business applications of AI, enabling you to evaluate and recommend AI solutions that meet the specific needs of organizations.
UX Designer
For UX Designers interested in incorporating AI into their work, AI, Business & the Future of Work from Lund University may be helpful. This course provides an understanding of AI's potential in enhancing user experiences, empowering you to design AI-powered products and services that are both effective and engaging.

Reading list

We've selected ten 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 AI, Business & the Future of Work.
Provides a comprehensive overview of the impact of AI on the workplace, and offers insights into the future of work.
Provides a comprehensive overview of the impact of AI on the workplace, and offers guidance for business leaders on how to prepare for and manage this change.
Offers strategies for harnessing AI to gain a competitive advantage, covering topics such as data analytics, machine learning, and AI-powered decision-making.
Provides a practical guide to implementing AI in the workplace, and offers advice on how to manage the human-machine relationship.
Provides practical guidance for business leaders on how to implement AI in their organizations, exploring its potential benefits and challenges.
Provides a comprehensive introduction to deep learning, a subfield of AI that is used in a wide range of applications.
Provides a concise and accessible introduction to AI, and good starting point for those who are new to the subject.

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