Introduction to Artificial Intelligence and Big Data for Business, 3 ECTS cr

Get a clear and practical view on AI and Big Data and how they can benefit contemporary business.

• Mode of Teaching: Online course
  
• Level: Master
• Time: 4.5.-27.6.2022
  
• Language: English
• Price: 0 €
  
• Enrolment: 14.3.–28.4.2022

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Target Group

• Advanced business students
• Professionals who want to understand the potential of artificial intelligence in business

Learning objectives

After completion of this course you will be able to

• understand the concept of Artificial Intelligence and all related topics such as Big Data, Machine Learning and Deep Learning
• describe all the key AI technologies and how they are currently being applied in business
• undertand the concepts on how to integrate Artificial Intelligence (AI) to business processes in order to manage workflows, optimize operations, and predict trends
• reach out to customers by using social media and other means of marketing communication
• gain deeper understanding of business-to-business marketing, especially the need to change focus from goods production and distribution to long-term value creation and relationships trough sales.

Content

• Knowledge about Artificial Intelligence, Big Data, Machine Learning, Deep Learning and Data Science
• Understand how Artificial Intelligence can help to optimize business processes, minimize costs and maximize profits
• Applications of Artificial Intelligence Technologies
• Artificial Intelligence implementation

Teaching Mode and Methods

• Online multimodal studies
• Online lectures
• Flipped Learning

Study Material

• Slides and Articles provided by the teacher
• Artificial intelligence and machine learning for business for non-engineers (Book) Groom, Frank M., toimittaja ; Jones, Stephan S., toimittaja ; Ciuffo, Joe, kirjoittajaCRC Press [2020]
• Artificial Intelligence for Business (eBook) Anderson, Jason L. Wiley 2020
• https://learning.oreilly.com/library/view/artificial-intelligence-for/9781119651734/?ar

Schedule and Location

Contact teaching in Moodle:

Wednesday, 4 May 2022 at 15:00–18:00

Monday, 23 May 2022 at 15:00–18:00

Monday, 6 June 2022 at 15:00–18:00

Monday, 27 June 2022 at 15:00–18:00

Further Information

Lecturer Kodjovi Lotchi | kodjovi.lotchi@vamk.fi

Enrolment

Enrol

You'll receive an invitation by email to this course  within one week after the application period. If you are not able to participate in the course, please let us know as soon as possible. Cancellation has to be made before the course starts.

Further information about enrolment, tuition fees and cancellation policy: avoin@vamk.fi