This course offers a practical and theoretical foundation in Artificial Intelligence and Machine Learning, teaching students how to build intelligent systems using real-world data. It covers algorithms, data processing, model training, and deployment, preparing learners for emerging tech-driven careers. 🛠️ Tools & Technologies Used Python – Primary programming language for AI/ML Jupyter Notebook – Interactive coding environment TensorFlow – Deep learning framework by Google Keras – Simplified neural network library PyTorch – Flexible ML library by Facebook Scikit-learn – Classical machine learning algorithms Pandas & NumPy – Data manipulation and analysis Matplotlib & Seaborn – Data visualization Google Colab – Cloud-based coding and model training OpenCV – Image processing and computer vision 🎯 Career Opportunities Machine Learning Engineer AI Developer Data Scientist Computer Vision Engineer NLP Engineer (Natural Language Processing) Business Intelligence Analy
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