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Learn AI, ML & Generative AI

Learn AI, ML & Generative AI

About This Course
Learn AI, Machine Learning & Deep Learning from basics to advanced
Master Python, NumPy, Pandas, Matplotlib & Seaborn for AI projects
Gain expertise in data preprocessing, feature engineering & statistics
Build models using Supervised & Unsupervised Learning techniques
Explore Neural Networks, CNNs, RNNs & Transfer Learning
Work with NLP for chatbots, sentiment analysis & text processing
Understand Generative AI applications for real-world scenarios
Deploy AI models with Flask, Streamlit, AWS & Heroku
Complete capstone projects in prediction, image recognition & NLP
Prepare for top AI & Data Science career opportunities
What You'll Learn
  • Build strong foundations in AI, Machine Learning & Deep Learning
  • Master Python, Numpy, Pandas, Matplotlib & Seaborn for AI projects
  • Handle data preprocessing, feature engineering & scaling techniques
  • Understand math for ML: Linear Algebra, Statistics & Gradient Descent
  • Implement Supervised & Unsupervised learning (SVM, KNN, PCA, Clustering)
  • Work with Neural Networks, CNNs, RNNs & Transfer Learning
  • Learn Natural Language Processing (NLP, Word2Vec, TF-IDF, Chatbots)
  • Deploy AI models using Flask, Streamlit, AWS & Heroku
  • Build real-world AI projects: prediction, image recognition, chatbots, recommender systems
  • Prepare for a career in Data Science, AI & Generative AI applications
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