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Curriculum for Customized Grundfos Mini MBA in Artificial Intelligence

Here is what you are expected to study prior to each module. Please expect to spend approximately 3–5 hours preparing for each module.

Please note that the curriculum is considered background knowledge for the teaching. The sessions will therefore not focus on reviewing the reading material, but on building on top of it – ensuring that you gain as much value as possible from the programme.

Enjoy your reading.

Tip: Always keep your Aros notebook close at hand when preparing, so you can take notes along the way – and capture the many ideas that may arise while you read.

Please note: Do not be concerned if some of the texts are not brand new. As you will learn during the programme, AI was developed in the 1950s, and the fundamental mechanisms behind AI have not changed significantly over the decades, but its applications have evolved considerably.

 

Module May 5th: Core AI Concepts and Applications: A foundational introduction AI, how it works, and how it can create value.

  1. Read the entire book, Machines That Think, – How Artificial Intelligence Works and What It Means For Us, (279 pages) by Inga Strümke
  2. 12 most popular AI use cases in the enterprise today, CIO (3 pages)
  3. Podcast:How AI is transforming Identity and Acces Management

Module – May 13th: Machine Learning and Deep Learning in business Machine 

  1. Machine Learning for Dummies, IBM (75 pages)
  2. ChatGPT Has Already Polluted the Internet So Badly That It’s Hobbling Future AI Development, Futurism, (2 pages)
  3. Apple study says AI reasoning models exhibit ‘illusion of thinking, Perplexity.ai, (2 pages)
  4. Artificial Intelligence and Business Value: a Literature Review, Ida Merete Enholm et.al. (
  5. 23 pages, skip p 2-4)
  6. ead only the abstract and conclusion (technically dense): Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence, Journal of Open Innovation (13 pages, downloads automatically when clicked)
  7. Read only the abstract and conclusion (technically dense): Attention Is All You Need, Google (11 pages)
  8. Optimize Quality Control with Computer Vision – Danish Crown, Neurospace (3 pages)
  9. Predicting Optimal Temperature in the Transmission System, Neurospace (2 pages)
  10. Build a Winning AI Strategy for Your Business, Harvard Business Review (7 pages)

Module – June 2nd: Generative AI & Natural Language Processing (NLP)

  1. The State of AI – How organizations are rewiring to capture value(26 pages)
  2. AI Agents: What They Are and Their Business Impact | BCG (3 pages)
  3. Seizing the agentic AI advantage | McKinsey(28 pages)
  4. Microsoft Copilot Studio and the role of conversational AI in your organization’s IT strategy  (4 pages) You can also download the file as pdf here.
  5. How AI Could Save (Not Destroy) Education, Sal Khan, TED (16 minutes)
  6. With generative AI, don’t believe the hype (or the anti-hype), IBM (4 pages)
  7. Videocase withSupWiz(13 minutes)

NLP overview

  1. Natural language processing: state of the art, current trends and challenges(25 pages)

AI Explained @ YouTube:

  1. AGI Will Not Be A Chatbot – Autonomy, Acceleration, and Arguments Behind the Scenes (15 minutes)
  2. AI Conquers Gravity: Robo-dog, Trained by GPT-4, Stays Balanced on Rolling, Deflating Yoga Ball (16 minutes)
  3. o1 – What is Going On? Why o1 is a 3rd Paradigm of Model + 10 Things You Might Not Know (28 minutes)

Recent research in NLP (technically advanced and optional):

  1. Sequence to Sequence Learning with Neural Networks (8 pages)
  2. Language Models are Unsupervised Multitask Learners (GPT-2) (10 pages)
  3. Language Models are Few-Shot Learners (GPT-3) (40 pages)
  4. GPT-4 Technical Report (14 pages)
  5. Learning to Reason with LLMs (OpenAI o1) (~10 pages)

Online module: AI & Sustainability (anytime)

  1. We did the math on AI’s energy consumption, IDA (20 pages)
  2. Operating on 24/7 Carbon-Free Energy by 2030, Google (4 pages)
  3. Helping you pick the greenest region for your Google Cloud resources, Google (2 pages).

Optional reading:

  1. Why data centres are the new frontier in the fight against climate change, Computerworld (3 pages)
  2. Carbon Footprint of Data Centers & Data Storage Per Country (Calculator), 8 Billion Trees (12 pages)
  3. A Computer Scientist Breaks Down Generative AI’s Hefty Carbon Footprint, Scientific American (4 pages)

Online module: Ethics, Bias, Regulation, and Future Scenarios in Artificial Intelligence (anytime)

  1. The book ‘AI Ethics’, Mark Coeckelbergh, chapters 1, 7, 8 & 9. (48 pages)

Optional reading:

  1. Artificial Intelligence Act, EU (12 pages)
  2. EU’s Guidelines for Trustworthy AI, EU (Just read this intro page – it’s optional whether you want to download and read the full report)
  3. Data Ethics Principles, DataEthics (4 pages)
  4. General Data Protection Regulation
  5. NIS2, Dansk Industri (2 pages)
  6. What is the NIS2 Directive and how will it impact your organization? (2 pages)
  7. Six Ways Big Tech Manifests Its ‘Soft Power, Mie Oehlenschlager and Pernille Tranberg (2 pages)
  8. Struggling News Media In Fight to Get Wealthy Tech Companies To Revenue Share, Pernille Tranberg (2 pages)
  9. Human-made Content Could Be The New Hype, Pernille Tranberg (2 pages)
  10. Big Tech Wants to Disrupt Humanity, Pernille Tranberg (2 pages)
  11. About Cen: European Committee for Standardization, European Committee for Standardization (1 page)
  12. DS/PAS 2500-3:2023, Artificial Intelligence, Part 3: Bias, Danish Standards (Read just page 12-14)
  13. Podcast: NEXUS (Part 2): Yuval Noah Harris on How to Safeguard Humanity in the Age of AI

Module – June 16th: Strategic AI-roadmap

Read the following chapters from the book ‘Applying Artificial Intelligence – The Practitioner’s Handbook’ af Dan Rose Johansen:

  • Chapter 4: Preparing your organization for reaping the benefits of AI (15 pages)
  • Chapter 5: Solving problems using AI (12 pages)
  • Chapter 6: Inspiration phase (13 pages)
  • Chapter 7: Discovery – Understanding the problem (24 pages)
  • Chapter 8: Discovery – Decision making and accuracy (28 pages)
  • Chapter 11: Implementation phase – AI and humans (19 pages).

If you prefer to listen, the book is also avaliable on Mofibo.

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