About
This comprehensive program is designed to take you on a journey from the basics of Artificial Intelligence and Machine Learning to advanced, industry-ready skills. Across 11 modules, you will build a strong foundation in Python, mathematics, and data preprocessing before advancing into supervised and unsupervised learning, neural networks, natural language processing, and cutting-edge AI techniques. You will gain practical knowledge of: - Supervised & Unsupervised Learning (Regression, Classification, Clustering, SVM, k-NN, Random Forest, PCA, t-SNE) - Deep Learning Architectures (CNNs, RNNs, LSTMs) - Natural Language Processing (Word embeddings, sentiment analysis, text classification, chatbots) - Advanced AI & ML (Ensemble methods, Reinforcement Learning, Generative AI, Transfer Learning, AutoML) - AI in Production (Model deployment with Flask, FastAPI, Django, basics of MLOps and Cloud AI) The program emphasizes hands-on projects, such as: - Spam Email Classifier - Movie Recommendation System - Stock Price Prediction - Handwritten Digit Recognition (MNIST) - Customer Churn Prediction - Twitter Sentiment Analysis - Image Classification with CNNs - Chatbot Development By completing this course, you will develop the ability to design, train, and deploy AI + ML models, preparing you for careers as a Machine Learning Engineer, AI Developer, Data Scientist, or Applied AI Specialist.
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