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Applied AI training (Machine + Deep Learning)
80% practical, 20% theoretical
45 hours (Intensive & Fast-Track)
Python, Scikit-learn, TensorFlow, Keras
This course introduces Python for AI, covering data structures, loops, and functions. Students learn data handling with Pandas and NumPy, visualization with Matplotlib and Seaborn, and core machine learning using Scikit-learn. Advanced modules explore deep learning with TensorFlow and Keras, including CNNs and real-time object detection using YOLOv8.
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