Day 1:
Machine learning, deep learning & mathematics in AI
This first day will initiate your journey into the realms of AI development. It will help you grasp the basics of machine learning, dive into deep learning, examine the structures of neural networks and uncover the mathematics behind artificial intelligence. The day blends theoretical knowledge with practical applications, setting the stage for your explorations in AI. By the end of this day, you will have a clear understanding of the foundational aspects of AI technologies. And you will be equipped with the knowledge to identify applications of machine learning and deep learning in various sectors and understand the mathematical concepts that enhance AI systems’ efficiency and effectiveness.
Instructor: Daniel Svendsen
Day 2:
Artificial intelligence algorithms (how to choose and apply)
This day offers a comprehensive exploration of the core algorithms that drive artificial intelligence systems. You will learn about linear regression, logistic regression, decision trees, random forests, Support Vector Machines (SVM), naive bayes, neural networks, K-Means clustering and a lot more. Through hands-on projects and case studies, you will learn to apply these algorithms to solve real-world problems, gaining proficiency in both the theory and practical application of AI algorithms. So all in all: This day prepares you to design, analyze, and implement AI models effectively.
Instructor: Rasmus Hvingelby
Day 3:
Exploring Large Language Models (LLMs)
This day provides you with a thorough introduction to effective data management techniques essential for AI development. You will learn how to find the right data in an organization. And you will learn how to collect, clean, and process data, ensuring its readiness for analysis. The day also includes a focus on using retrieval-augmented generation (RAG) as a technique in optimizing the output of a large language model.
Instructor: Erik David Johnson
Day 4:
Data handling & data processing (incl. RAG)
This day provides you with a thorough introduction to effective data management techniques essential for AI development. You will learn how to find the right data in an organization. And you will learn how to collect, clean, and process data, ensuring its readiness for analysis. The day also includes a focus on using retrieval-augmented generation (RAG) as a technique in optimizing the output of a large language model.
Instructor: Saifullah Babrak
Day 5:
MLOps – Building Scalable, Reliable AI Systems
This day focuses on MLOps, the crucial discipline that brings AI models from experimentation to production, ensuring they are scalable, reproducible, and reliable. AI development follows a unique methodology that differs from classical software development due to the heavy reliance on data, the experimental nature of model training, and the fact that it’s often the model—not the code—that moves to production. The day will explore this end-to-end development cycle, highlighting the specialized components and technology stack required for AI. Participants will learn how, despite these differences, strong software development principles can and should be applied to AI, covering areas like model deployment, monitoring, reproducibility, version control, workflow automation, and regulatory compliance. By the end of the day, participants will be equipped with a solid understanding of the MLOps pipeline and the practices necessary to drive value through effective AI operations.
Instructor: Morten Lantow
Day 6:
Pretrained artificial intelligence models (instruction)
We explore the world of pretrained AI models and their transformative potential in the IT landscape. This day will provide an in-depth look at how these models are built, their various applications across industries, and best practices for integrating them into existing systems. Participants will gain hands-on experience with popular platforms. Engage in interactive discussions and group exercises to solidify your understanding and skills in utilizing pretrained AI models effectively!
Instructor: Lasse Daniel Sander Jensen
Day 7:
Pretrained artificial intelligence models (workshop)
Engage in a fully immersive, hands-on workshop centered on deploying and customizing pretrained AI models. This day is crafted to provide practical, real-world experience. Participants will work directly with popular AI frameworks to apply pretrained models to solve complex problems in various sectors. The workshop includes live coding sessions, troubleshooting challenges, and optimization tasks to deepen your technical skills. By the end of the day, you’ll have the experience to efficiently integrate, modify, and deploy AI models in your IT environments, ensuring you can handle real-world applications effectively.
Instructor: Thoranna Bender
Day 8:
AI programming: Python, R, C sharp and Java
This day offers a comprehensive exploration into AI programming with a focus on the languages most critical to the field: Python, R, C#, and Java. Participants will learn about the strengths and unique capabilities of each programming language in the context of AI development. Through a series of lectures and practical exercises, you will understand how to leverage each language for building and deploying AI models, including syntax nuances, libraries, and frameworks specific to AI applications. The session aims to equip you with the skills to choose and utilize the right programming tool based on the project requirements and performance criteria.
Instructor: Abraham Smith
Day 9:
Working (or thinking) as an AI business consultant
We cap off the program with a deep dive into the role of an AI business consultant, focusing on how you can bridge the gap between technical AI solutions and business strategies. This day provides insights into the consultancy approach, including understanding client (or your boss’s) needs, identifying opportunities for AI integration, and proposing solutions that drive business value. Engage in interactive day where you’ll simulate consultancy sessions, employing critical thinking to solve business problems with AI. Learn about market trends, ethical considerations, and the economic impact of AI deployments. Participants will also develop soft skills crucial for client communication and project management, preparing them to lead AI initiatives effectively in a business environment.
Instructor: Emil Sarauw
An option to pay via ‘bruttolønsordning’
If you have to pay for the Artificial Intelligence Developer™ program yourself and are employed, you may be able to use the Danish ‘bruttolønsordning’. This reduces your total expense (and does not cost your employer anything). Call us at 70 278 279 or write to info@arosbusinessacademy.dk to learn more about the arrangement.
DK
Eng.
Sverige
Grønland
