AI for Professionals: Leveraging the power of AI and Large Language Models in your work
This course is a part of
Unlock the power of artificial intelligence (AI) and large language models (LLMs) with this hands-on course tailored for professionals interested in integrating advanced AI techniques into their daily workflows. Whether you work with qualitative or quantitative data, this research-grounded course provides you with practical skills and knowledge to leverage AI and LLMs in data processing, analysis, and visualization. Additionally, the course will provide work-relevant examples on how LLMs can be used to optimize your workflows and assist you in specific task automation.
This course introduces work-related use of LLMs, focusing on collecting, summarizing, and showcasing information, how to leverage them as writing assistants and content creators, as well as other AI applications, such as natural language processing (NLP), image analysis, automated transcription, and taks automation. In the course, among other things you will learn how to set up and use the OpenAI API, including account setup, pricing, model selection, and prompt engineering for optimal results. You will also be introduced to open-source alternatives from Hugging Face and how the two compare with regards to performance, data security, privacy and compliance. Lastly, this course will provide you with applied LLM use examples as inspiration for how to leverage the power of AI and LLMs in your specific work context.
The course suited my needs pretty well. I loved the explorative and agile nature of the course. Yani is very bright on the AI topic and has strong theoretical knowledge on what LLM's are and how they work fundementally. I was quite impressed and definetly have a lot more curiosity and courage to take in building my own local AI solutions.
Very interesting! Great instructor. Very Well organised, communicated by Karoline. Extend the current course by adding more exercises. .. and add additional to the Catalog!
'AI for Professionals' is taught by
The course will be supported by teaching assistants that have ample experience with AI, LLMs, and programming.
Course information on 'AI for Professionals'
Course dates
8 and 22 October 2026 from 9:00 to 15:00
The course runs over two days (9.00-15.00) a few weeks apart, specifically designed to provide you with the opportunity to try out your new skills between each course day. The course days will include a mix of introductions, hands-on exercises, and interactive Q&A components. Participants will have access to all course material beforehand and be able to run everything on their computers.
Benefits for you and your organisation
By the end of this course, you will have:
- Solid understanding of how LLMs function
- Capacity to navigate the daunting AI and LLM landscape
- Practical, hands-on knowledge on how to apply AI and LLMs in your work
- Inspiration on how to use AI and LLMs in a professional context
- Mastered the use of AI and LLMs for data annotation and analysis
- Set up and understood how to utilize commercial as well as non-proprietary language models
- Learnt prompt engineering for effective LLM interactions
- The skills to automate data analysis, content generation, transcription, and text/image analysis
Who should attend?
This course is designed for professionals in various fields who want to integrate advanced AI techniques and LLMs into their workflows. This includes consultants, ministry deputies, data analysts, market researchers, business strategists, and anyone who could benefit from enhancing and optimizing data processing and analysis through AI and LLMs. A basic familiarity with scripting programming languages (e.g. Python, R, etc.) and a basic understanding of Application Programming Interfaces (APIs) is assumed, but programming support will also be available. We encourage anyone interested in AI-driven processes to join.
Place
University of Copenhagen
South Campus
2300 Copenhagen S
Contact
University of Copenhagen
Continuing Education and Lifelong Learning
lifelonglearning@adm.ku.dk