Artificial Intelligence

Build a solid foundation in AI, machine learning, deep learning, natural language processing and computer vision with short, focused quizzes and clear explanations.

• AI Basics: What AI is and is not, Types and applications of AI, AI, ML and deep learning
• Machine Learning Basics: Supervised, unsupervised, reinforcement learning, Regression and clustering, Popular libraries and frameworks
• Deep Learning: Neurons, layers and activations, Training and backpropagation, CNNs, RNNs and other architectures
• Natural Language Processing: Tokenisation and text cleaning, Sentiment analysis, Translation and chatbots
• Computer Vision: Image classification, Object detection, Face recognition