Artificial Intelligence Course for Companies
Course Objectives
This training was designed to enable companies to understand, implement, and increase efficiency in their operations. Education focuses on real-life AI applications used in companies rather than theoretical knowledge.
Duration of Education: 3 Hours
Education Detail
1. Overview of Artificial Intelligence
; What is AI? Machine learning and deep learning concepts
; Real Life Example: The use of artificial intelligence in Tesla's autonomous driving systems
2. Artificial Intelligence Trends for Companies
; In-house and industrial uses of artificial intelligence
; Real Life Example: Integration of robots and artificial intelligence in Amazon's warehouse logistics
3. Customer Experience and Profitability Increase
; AI applications that offer hibernated experience
; Real Life Example: Suggestion systems based on Netflix's viewing habits
4. Operational Efficiency and Artificial Intelligence
; Artificial intelligence-assisted automation in business processes
; Real Life Example: Coca-Cola's use of artificial intelligence in demand forecasting and stock optimization
5. Data Analytics and Forecasting Models
; Big data analysis with artificial intelligence
; Real Life Example: Walmart's sales forecasts with big data and artificial intelligence
6. Artificial Intelligence Supported Sales and Marketing Strategies
; Digital ads and audience targeting
; Real Life Example: Targeted advertising strategies by Google and Facebook with artificial intelligence
7. The Use of Artificial Intelligence in Cyber Security
; AI-assisted threat detection and cyber defense
; Real Life Example: Fraud detection practices in the banking sector
8. Natural Language Processing (NLP) and Chatbots
; Use of Chatbots and virtual assistants in companies
; Real Life Example: Apple Siri and Amazon Alexa's use scenarios by companies
9. Human Resources and Artificial Intelligence
; Use of artificial intelligence in HR processes
; Real Life Example: LinkedIn's business candidate analysis with artificial intelligence
10. Strategies for Transition to Artificial Intelligence Practices in Companies
; Steps to implement AI projects in companies
; Real Life Example: Microsoft's role in AI transformation into companies
11. Conclusion and Evaluation
; Questions and answers
; Participant feedback
; Resources for next steps and advanced training
Educator: Dr. Teach. Şeyma BOZKURT UZAN
Dr. Teach. Şeyma Bozkurt Uzan is a professor in Software Engineering at Istanbul Beykent University and specializes in artificial intelligence, data science, digital transformation, multi-criteria decision making and operations research.
He has been a visiting lecturer at the Rochester Institute of Technology, and has been involved in a number of international research, including European Union projects.
While developing sustainable agricultural solutions with his projects on vertical agriculture and artificial intelligence integration, DeepTech aims to provide young generations with competence in the fields of advanced technology with its educational projects. Addressing artificial intelligence and decision making processes "From Past to Present: Philosophical Reflections on AI with a SWOT Approach", studying research in mathematics and artificial intelligence "Bibliometric Analysis of Math and Artificial Intelligence Research", and evaluating multi-criteria decision-making techniques in supply chain management "Analysis of Supplier Selection Process with Multi-Criteria Decision Making Techniques" There are such important articles.
Having signed numerous academic papers, books, and project works, she continues to work actively in the fields of technology, artificial intelligence, and education.
Please contact for detailed information.
Gökhan EROL
e: gerol@inovakademi.com
g: +90 (533) 761 19 34
t: +90 (216) 709 73 32
