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What you'll learn

  • Foundations of Artificial Intelligence: Explore the history, principles, and applications of artificial intelligence across various domains.
  • Machine Learning Mastery: Master the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning techniques.
  • Deep Learning Expertise: Dive deep into deep learning, covering neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.
  • Natural Language Processing (NLP): Learn how to process and understand human language using advanced NLP techniques, including sentiment analysis, named entity recognition, and machine translation.
  • Computer Vision Advancements: Explore cutting-edge advancements in computer vision, including image classification, object detection, image segmentation, and facial recognition
  • Ethical AI and Bias Mitigation: Delve into the ethical considerations surrounding AI development, including bias, fairness, accountability, and transparency.
  • Real-World AI Applications: Gain practical experience by working on real-world AI projects across diverse industries, from healthcare and finance to e-commerce and autonomous vehicles.

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