Program Objective
Artificial Intelligence has become an integral part of almost every aspect of our daily lives, and in the near future, it is expected to be present in areas we cannot even imagine today. It is a high value-added technology that provides significant benefits across various fields such as healthcare, education, cybersecurity, and the defense industry. Individuals who aim to develop high value-added products or solve existing problems in a qualified and efficient manner must possess knowledge in this field.
There is a significant global shortage of qualified professionals with expertise in artificial intelligence, and this gap continues to grow rapidly. This training program is highly important for individuals who wish to specialize in artificial intelligence. The program is practice-oriented and aims to equip participants with hands-on skills and practical competencies.
Participant Profile
Anyone who is interested in artificial intelligence or works in related fields is eligible to participate in this training program.
Program Content
Module 1: Introduction (5 Hours)
- Introduction to Artificial Intelligence
- Applications of Artificial Intelligence
- AI Ethics and Social Impacts
- Fundamental Concepts and Terminology
- AI Tools and Platforms
-Popular tools and libraries such as Python, TensorFlow, and PyTorch
-Cloud-based AI services (Google Cloud AI, AWS AI, etc.)
Module 2: Fundamentals of Machine Learning (7 Hours)
- Introduction to Machine Learning
- Data Preprocessing
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Model Evaluation and Validation
- Overfitting and Underfitting
- Model Optimization and Hyperparameter Tuning
Module 3: Deep Learning (6 Hours)
- Introduction to Deep Learning
- Artificial Neural Networks (ANN)
- Deep Neural Networks (DNN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transfer Learning and Pre-trained Models
Module 4: Applied Artificial Intelligence (5 Hours)
- Application 1: Image Processing
- Application 2: Natural Language Processing (NLP)
- Application 3: Anomaly Detection
- Application 4: Recommendation Systems
- Application 5: Autonomous Systems
Module 5: Project and Evaluation (2 Hours)
- Project Development
- Project Presentation and Feedback
Module 6: Program Review and Wrap-Up (5 Hours)
• Comprehensive Review of the Program
Training Duration
30 Hours (Online)
Training Fee
9,000 TL (10% VAT included)
Certification
An examination will be conducted at the end of the program. Participants who achieve a minimum score of 70 points will be awarded a Rectorate-Approved Certificate.
Contact Information
For program details:
Phone: 444 1 428 Mobile: +90 532 334 53 79
Email: [email protected]
Payment Options
• Online Payment: http://op.aydin.edu.tr/sem/uzapp/
Bank Account Information
Account Holder: T.C. İSTANBUL AYDIN ÜNİVERSİTESİ
Bank: Yapı Kredi Bank – Sefaköy Beşyol Branch
Branch Code: 815
Account No: 70356668
IBAN: TR46 0006 7010 0000 0070 3566 68