Course Details

• Type: Online (Live or Recorded)

• Total Duration: 40 Hours

• Sessions: 10 x 4 Hours

• Schedule: Weekday: Mon & Wed 19:00–23:00, Weekend: Sat 10:00–14:00

• Language: Turkish & English

• Certificate: E-Signed Certificate

• Format: Theory + Hands-on Projects + Q&A

• Tools: Python, Jupyter Notebook, NumPy, Pandas, scikit-learn, TensorFlow, Keras

📚 Course Content – Modules & Goals

1. Introduction to AI – Concepts, history, applications, basic math/statistics

2. Data Analysis with Python – Python fundamentals, NumPy/Pandas, data cleaning & visualization

3. Machine Learning Basics – Supervised/unsupervised learning, regression, classification, clustering

4. Deep Learning – ANN, TensorFlow/Keras, image & text modeling

5. AI Project Applications – Dataset analysis, predictive & classification projects, AI integration

6. Model Debugging & Optimization – Overfitting/underfitting, hyperparameter tuning, performance measurement

7. AI Ethics – Ethics, data privacy, AI responsibility, future trends

8. Project Review & Feedback – Evaluation & improvement suggestions

9. Certification & Closing – Practical test & certificate

👥 Who Can Attend?

• Beginners in AI & machine learning

• Students or recent graduates with Python knowledge

• Professionals aiming for a career in data science or AI

• Developers integrating AI into web or mobile apps

• Industry professionals interested in AI applications