About Course

This course is designed for those who already have a foundational understanding of Artificial Intelligence (AI) and want to dive deeper into advanced concepts. It covers machine learning algorithms, deep learning techniques, AI model optimization, and real-world AI applications. By the end of this course, you’ll be able to build and optimize AI models for various use cases.

What Will You Learn?

  • Advanced machine learning techniques (decision trees, SVM, ensemble learning)
  • Deep learning architectures (CNNs, RNNs, Transformers, GANs)
  • Natural Language Processing (NLP) with advanced techniques (BERT, GPT, LSTMs)
  • Reinforcement learning and self-learning AI models
  • AI model optimization and hyperparameter tuning
  • Computer vision applications (object detection, image segmentation)
  • AI ethics, bias, and fairness in machine learning models
  • Implementing AI models in production environments
  • Using cloud-based AI services (Google AI, AWS AI, Microsoft Azure AI)
  • AI automation, chatbots, and recommendation systems

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