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Course Content

  • Machine Learning Fundamentals
  • Data Preprocessing and Feature Engineering
  • Supervised and Unsupervised Learning
  • Robotics and Autonomous Systems
  • AI Model Evaluation and Optimization
  • Big Data and AI Integration
  • Python for AI Development
  • AI in Decision Making and Predictions
  • Explainable AI and Interpretability
  • Generative Adversarial Networks (GANs)
  • Future Trends in Artificial Intelligence
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