Introduction to Artificial Intelligence

Artificial-intelligence-driven technologies are rapidly changing the world. Business automation, customer management systems, and language models are revolutionising everything from organisation and marketing to product development and sales forecasting. But AI is a massive field of technology often veiled by impenetrable jargon and confusing media hype. What exactly is AI? What do I need to know to use AI? And most importantly, how can I apply AI in my organisation or business?
 
This course is tailored specifically to employees and decision makers looking to gain a fundamental understanding of AI in their work. Through relevant case studies of successful implementation of AI technologies in fintech, retail, and health care, course participants will gain a conceptual vocabulary and the ability to identify work processes where various types of AI can be applied. The participants will be able to find relevant products on the market that can optimize their processes, communicate their needs, and understand limitations of technology. Furthermore, the participants will conceptualize ideas and communicate to their development team when talking about AI strategy.


During the course we will dive into examples like Gucci using Computer vision to engage with its customers and Autodesk using AI to design new products. The course will trigger your imagination on how to use AI and teach you how to create value for your organisation or business by applying AI-thinking.
 
The course is divided into two days. On day one, course participants will be introduced to fundamental concepts of AI like deep learning, clustering, and optimization, which can cut costs and ensure greater efficiency in areas ranging from customer service and marketing to data management and product testing. On day two, course participants will learn to recognise when and where AI driven technologies can be applied in a business or an organisation and to identify common pitfalls and risks associated with AI implementation.
 

With the course you will achieve the following competencies::

  • Assess the maturity of AI technologies,
  • Recognize opportunities of how AI can augment business intelligence, cut costs and automatize within any organization,
  • Understand the impact of cutting-edge AI research,
  • Learn how to develop and successfully communicate AI strategy in your company,
  • Asking the right questions when estimating costs and benefits of developing AI solutions,
  • Find key products and services in the AI industry,
  • Recognize key skills needed to execute your company’s AI strategy.

 

Course content

Day 1

Part one: Intro and Fundamentals

In the first part, we will discuss what it means for something to be considered AI. Basic concepts are introduced followed by a short example to solidify the knowledge. We will learn about following topics:

  • Classification and regression used for automating the decision process by leveraging the patterns seen in the past.
  • Clustering used for uncovering structures in data useful for decision making.
  • AI agents and how they can be used for testing and quality control.
  • Optimization and how AI can deliver superhuman performance while minimizing the resources needed to realize it.

Deep learning and neutral networks what they are and how they are used.
 
Based on this part of the course the participants will build a conceptual vocabulary to be used when working with AI.  

Part two: Case studies of successful AI application  

In this part, we will learn which problems companies tackled by deploying AI and how it influenced their business. Using the conceptual vocabulary built in the previous part of the course we will be able to organize them into families of problems to help us recognize opportunities in our organizations.
We dive into four cases in this session using examples from fin tech, retail, food delivery and health care to work more specifically with the vocabulary and concepts of understanding we have built in part one. 

We will do exercises and discuss AI from multiple perspectives and case-studies. 

Day 2

Part one: Technology maturity 

On day two we will discuss the steps of AI technology maturity. Examples of steps being fundamental AI R&D, emerging technology, early business adoption, media hype stage, technology dead-end, or the final technology maturity.
We will discuss at which point are risk minimal in business applications. And we will learn to assess if certain technology is ready for your business.
Case-study: Failure of IBM Watson  
Case-study: Chatbots - advantages and limitations  
 
Part two: Risk considerations


There is a myriad of potential risks that AI introduces in a business. We will learn about the most common risks and discuss how to assess their cost and mitigate them. 

  • Data gathering and/or acquisition for successful operation.
  • Data cleaning to transform data into a usable state.
  • Model interpretability to avoid unintended consequences of AI automatization. 
  • Employee distrust of AI technologies and importance on the work process.
  • Bias and error magnification, which can be amplified using poor quality and highly biased data.
  • Loss of key skills in the workforce and how to keep skills within the organization.

We will finish off with a Q&A session.

Teacher

Djordje Grbic



Djordje Grbic is a Postdoc in the Creative AI Lab at the IT University of Copenhagen. He holds a MSc degree in Computer Science from the University of Zagreb, where he developed an AI application to optimize the university’s exam scheduling as part of his Master’s Thesis.

 
After his Master's program, Djordje moved to Switzerland to complete his Ph.D. within the application of AI to evolutionary biology. Currently, he is undertaking his Postdoc at the IT University of Copenhagen in connection with an international DARPA project concerning self-driving vehicle safety. At the IT University he has managed two courses "Modern AI" and "Applied AI Summer Course" on the MSc Program in Games.

YOU

The course is aimed at everyone interested in gained basic knowledge about artificial intelligence. It is of less importance whether you have a humanistic, economic, mercantile, legal or any other educational background, and you can be working at executive level with strategic responsibilities, as a tech leader, expert, specialist, or as any other professional with interest in artificial intelligence. Everyone can gain insight from the course.  
 
•    Team leader  
•    CIO
•    IT Manager
•    Innovation Manager  
•    IT expert  
•    IT specialist  
•    Enterprise Architect

Practical

Time and place:
The course will take place at the IT University on 28 and 29 October 2021.

The next course this Fall will run 18 - 19 November 2021.

Admission requirements
There are no admission requirements.

Price
10.000 kr. The price does not include value added tax.

Details:
The course is taught in English. There is no exam but you will be awarded a certificate upon completion of the course.


Click here to revisit and read about our recent webinar What is Artificial Intelligence? which took place 3 September 2021.

You can also find the presentation slides available for download here.

An adapted video recording of the webinar will be available on this page soon.


Read more about the webinar 'What is Artificial Intelligence?' here