The Management and Artificial Intelligence Program are a major in the Bachelor in Management Program.
The Program is a rare, but very necessary, combination of insightful management knowledge with programming skills and data analytics.
The studies are aimed at educating more and more managers demanded on the labor market, who simultaneously have:
Business skills
Knowledge of new technologies and their impact on society
Knowledge of quantitative and qualitative research methods
Programming competences (programming in several languages - Python, Java)
In addition, students will master the tools for multidimensional analysis of the digitalization processes and will acquire the skills necessary to identify, acquire, store, and analyze data of a large volume (Big Data).
Students have the opportunity to familiarize themselves with theories that give a deeper understanding of the ongoing technological revolution and the related social and business changes.
During the studies a module on artificial intelligence is implemented, thanks to which students acquire skills in the field of programming and machine learning as well as their use in business.
From the second semester, students will work in groups on a start-up or implementation project under the supervision of KU specialists.
During their studies, students obtain a certificate which states that they completed a Python programming course, and a certificate of obtaining a basic course in machine learning.
The Program offers a lot of freedom in developing the students' interests by offering elective courses aimed at deepening their interests.
Graduates receive a Bachelor in Management diploma. Additionally, they get a diploma's supplement stating that the graduate has finished a major in Management and Artificial Intelligence in Digital Society.
The studies are run only in full-time mode.

Applied Artificial Intelligence tools are becoming a larger presence in our everyday lives, and will continue to do so for years to come.

Many of us use them without even realizing it, when talking to chatbots, and for many, the interactions with personal digital assistants such as Alexa or Siri have become second nature.

But Applied AI offers so much more; it’s the key to groundbreaking technologies that are expected to completely change our lives, like self-driving cars.

Companies who will act fast and incorporate this technology in their business strategy, have a real chance of taking over entire market shares. That’s where you, as a future Applied AI specialist, come into the picture.

Once you’ve acquired knowledge of speech and image processing, machine learning, robotics, UI/UX and software development, your expertise will make you a strong candidate for positions in many international tech leaders.

Earn your internationally recognised Applied Artificial Intelligence Bachelor from IU University of Applied Sciences, and get ready for exciting opportunities!

The upper reaches of the world economy are being conquered by technology companies: data-intensive and powered by powerful engines of Artificial Intelligence (AI). Most of the world's companies are involved in complex digital transformation processes. There is a global war for talent in AI applied to business.

Data is now the world’s most valuable raw material, and Artificial Intelligence offers companies trillions of dollars of potential new business opportunities.

That’s why international firms need a new generation of leaders: experts in technology who also understand the fundamentals of business management. Smart thinkers who can use the power of algorithms and AI to develop business strategies that unlock new possibilities.

At Esade, you can become the expert they’re looking for, with world-class business education plus specialist training in programming, AI and data strategy.

Data scientists and engineers are excellent problem solvers and master thinking skills with a hands-on mentality. They understand, analyze, and use data to build technology that makes our lives easier.

Pursuing an online Bachelor’s Degree with one of our three tracks will guide you to become the next unicorn our society needs. You'll achieve this with your community of international and mission-driven change makers and through our modern learning method.

Building AI a flexible online course for anyone who wants to learn about the practical methods that make artificial intelligence a reality. You will get a solid introduction to for example machine learning and neural networks, and you will learn where and how AI methods are applied in real life. It is easy to move freely between the three difficulty levels, from multiple choice exercises to programming with Python – depending on whether you know programming or not. As a result of this course, you will be able to craft your own AI idea and present it to the community. Doing the online course is free of charge, but you can purchase the Building AI certificate to reward yourself for the effort.

This course is an advanced course focusing on the intsersection of Statistics and Machine Learning. The goal is to study modern methods and the underlying theory for those methods. There are two pre-requisites for this course:
36-705 (Intermediate Statistical Theory)
36-707 (Regression)

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

About this course

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demnstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP.

AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users.

The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam.

Your journey to CAIP Certification

1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate

2) Review the CAIP AIP Exam Blueprint

3) Purchase your CAIP Exam Voucher

4) Register for your CAIP Exam

The Certified Artificial Intelligence Engineer (CAIE™) program is designed according to the AI job market and keeping the right AI skills in mind to sustain your career growth. According to USAII’s research and development team, the AI job market is growing at 16 percent globally, and considering the fact where COVID-19 has its impact, the organizations are pacing up their investments in AI technology, hence creating further positive ripples in the AI job market.

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.