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Artificial Intelligence

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    About Artificial Intelligence Course

    The degree course of the Artificial Intelligence specialty is provided at the first (Bachelor of Artificial Intelligence) and Second (Master of Artificial Intelligence) levels of higher education. The Artificial Intelligence program at the IEU in Poland provides exchange and study abroad students with a solid, interdisciplinary set of skills in AI, including Human Sciences, Computer Science, and Engineering. The Artificial Intelligence degree at the European School of IT teaches international students to create Systems and Machines capable of performing tasks requiring Human Intelligence, like playing games or understanding natural language.

    The degree program in Artificial Intelligence at the International European University, Poland focuses on human thinking, artificial thinking, and behavior in social systems. The IEU, Poland students study the underlying processes to predict or simulate behavior. Obtaining a degree in Artificial Intelligence at the International European University in Poland is getting more and more popular among international students due to the wide range of career options, overseas internship opportunities, European exchange student programs, and high salaries upon graduation.

    Name of the specialty – Artificial Intelligence

    Level of Higher Education – First (Bachelor of Artificial Intelligence) and Second (Master of Artificial Intelligence) level;

    The list of specializations and educational programs – Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Data Science, AI Ethics, Reinforcement Learning;

    The total amount of credits of the European Credit Transfer and Accumulation System — 360 credits;

    The duration of studying – 4 years of full-time studying (Bachelor of Artificial Intelligence) and 2 years of full-time studying (Master of Artificial Intelligence).

    Educational Process

    The degree program in Artificial Intelligence at the IEU in Poland aims to introduce international students to the core fundamentals of Artificial Intelligence like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, Reinforcement Learning, and the working of regenerative AI like ChatGPT. The Artificial Intelligence course gives students the ability to understand and develop Intelligent Software and Hardware Systems. Students explore the techniques and applications of Artificial Intelligence and develop practical skills through exposure to real-world problems and datasets.

    The program material is taught through lectures, discussions, practical labs, working in teams, presentations with coursework, and exams used for assessment. In the IEU, Poland students undertake individual research projects under the supervision of a faculty member. Practical classes are conducted in fully equipped IEU, PolandComputer Laboratories with the latest software and technologies. The curriculum is taught by expert faculty with real-world experience ensuring students gain the competencies needed in the field of Artificial Intelligence. The staff of professionals of the European School of IT is ready to support international students’ needs providing a collaborative learning environment with quality interaction between faculty and students.

    IEU, Poland has its digital educational platform, which combines European Studying Curriculums and modern technical equipment. It helps IEU, Poland students quickly and easily learn new information required in their work process. University-renowned classrooms and reading rooms, IEU, Poland Library with thousands of books and scientific journals, and Digital IEU, Poland Library with access to electronic resources are freely accessible to students and staff at any time they need it. The Artificial Intelligence course at the IEU in Poland offers exchange and study abroad students the possibility to join internship programs, study abroad programs in Europe, and interactive online courses.

    After graduating students are able:

    • Comprehend and investigate client needs to create AI models to address real-world issues;
    • Design, employ, and improve machine-learning algorithms for many applications, such as time series analysis, language processing, predictive modeling, and computer vision;
    • Create or implement artificial intelligence-powered services like chatbots;
    • Solve industry problems using natural language processing (NLP), image recognition, or text recognition;
    • Research the most recent developments in machine learning and artificial intelligence to keep the organization updated on new techniques;
    • Coach and implement machine learning models in a real-world setting;
    • Observe the performance of machine learning models and make adjustments as necessary;
    • Cooperate with data engineers to help the data be accurate, clean, and accessible;
    • Work with software engineers to incorporate machine learning models into the company’s goods and services;
    • Prepare technical documentation to explain complicated ideas to non-technical listeners;
    • Communicate results and suggestions to upper management;
    • Supervise projects, including defining their scope, developing a timeframe, allocating resources, and monitoring their progress;
    • Keep up with market trends to spot new AI application prospects;
    • Develop computer models based on existing data sets to predict future outcomes;
    • Apply artificial intelligence techniques to areas such as machine learning, robotics, image processing, and others;
    • Develop specialized computer programs to improve efficiency in business processes such as customer service or inventory management;
    • Write computer programs to identify patterns in large sets of data;
    • Analyze data sets to identify patterns, anomalies, or other relevant information;
    • Develop computer programs to learn from experience and improve their performance over time without being reprogramed;
    • Research artificial intelligence topics such as knowledge representation, reasoning, planning, perception, and robotics;
    • Create and develop AI models and teach other employees like the product managers and stakeholders the benefits of using them;
    • Help employees learn about the systems by designing training manuals and creating online learning materials;
    • Convert machine learning models to Application Program Interfaces (APIs);
    • Automate the processes needed for data collation purposes;
    • Uncover relationships, insights, and inconsistencies in vast and highly variable data sets;
    • Work with inputs regular computers can’t handle, including speech, handwritten text, or images;
    • Perform data entry, detect fraud, identify unsafe conditions, respond to customer service inquiries, and read radiological scans.

    Compulsory Subjects

    The International European University, Poland curriculum covers a comprehensive range of subjects. The major subjects (or modules) are:

    • AI and Knowledge Representation
    • Machine Learning
    • Programming in R
    • Object Oriented Programming With C++
    • Data Structures and Algorithms
    • Discrete Mathematics
    • Programming in JAVA
    • Applied Mathematics
    • Human Resources and Rights
    • Programming in Python
    • Fuzzy Logic and Neural Networks
    • Design and Analysis of Algorithms
    • Introduction to the Internet of Things
    • Machine Learning Techniques
    • Ethical Hacking
    • Data Analytics Techniques
    • Embedded Systems
    • Natural Language Processing
    • Artificial Neural Networks
    • Artificial Intelligence & Deep Learning with TensorFlow
    • Ethics, Privacy, AI in Society
    • Advanced Deep Learning and Computer Vision
    • AWS Big Data
    • Advanced Databases
    • SAS
    • Advanced Excel
    • Robotics
    • Scalable Systems for the Cloud
    • Separation Logic: Local Reasoning about Programs
    • Tableau Desktop 10
    • Network and Web Security
    • Applied Statistics
    • Ensemble Techniques
    • Featurization, Model Selection & Tuning
    • Recommendation Systems
    • Artificial Intelligence
    • Introduction to Neural Networks and Deep Learning
    • Computer Vision
    • Natural Language Processing
    • EDA (Exploratory Data Analysis)
    • Time Series Forecasting
    • Model Deployment
    • Visualization using a Tensor board
    • GANs (Generative Adversarial Networks)

    Career Perspectives

    After completing the professional education program of the specialty «Artificial Intelligence» at the International European University, Poland specialists can perform professional work as:

    • User Experience (UX) Developer
    • Natural Language Processing Engineer
    • Big Data Architect
    • Research Scientist
    • Software Engineer
    • AI Engineer
    • Machine Learning Engineer
    • Data Scientist
    • Business Intelligence Developer
    • Big Data Engineer
    • Robotics Engineer
    • Computer Vision Engineer
    • AI Consultant
    • AI Product Manager
    • AI Data Analyst
    • Deep Learning Engineer
    • NLP Engineer
    • Robotic Scientist
    • Data Engineer
    • Computer and Information Research Scientist
    • Software Architect
    • AI Entrepreneur
    • Automation Engineer

    Why Obtain an Artificial Intelligence Degree in Europe?

    The International European University in Poland is a perfect option for international students to study Artificial Intelligence in Europe and discover an excellent opportunity to earn an Artificial Intelligence degree from one of the best universities in the EU. The quality of education is on point as our IT School is consistently ranked among the TOP-10 IT Schools in Europe.

    IEU, Poland international students gain access to award-winning teaching methods and internationally recognized qualifications used worldwide. A degree in Artificial Intelligence from the International European University, Polandinvolves studying how to design, develop, and apply AI technologies to solve real-world problems. By studying Artificial Intelligence at IEU, Poland students can study designing and developing AI systems, analyzing and interpreting data, and evaluating the performance of AI systems.

    Career Perspectives with Artificial Intelligence Degree in Europe
    Pursuing an Artificial Intelligence Degree at the International European University, Polandcan prepares you for various career opportunities in the public and private sectors, including AI research and development, data analysis, robotics, or machine learning engineering. A Degree in Artificial Intelligence from the International European University, Poland can increase students earning potential and help them stand out in the job market.

    Application Process for Artificial Intelligence in Europe
    The application process for an Artificial Intelligence degree at International European University in Poland is easy and fast compared to other European IT universities. International students are provided with full support along the way while collecting the necessary documents, submitting their application, and obtaining the Student Visa.

    Rich Cultural Experience in Europe
    International students of IEU, Polandare always amazed by Polish culture rich in history and tradition. Country discovery is always an eye-opening experience for students who have never left their home country before. Students have the opportunity to travel around Europe during their time abroad, which allows them to see how other cultures live and what they value most about life. Obtaining Artificial Intelligence abroad offers some unforgettable experiences students will never forget! For example: visiting museums or historical sites; tasting new foods from around the world; learning how people celebrate holidays differently; meeting new friends from all over the world who share similar interests, and many more!

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