About Course

This course is designed for experienced Data Science professionals who want to master advanced techniques in machine learning, deep learning, big data processing, and AI-driven analytics. You’ll learn how to build scalable data solutions, optimize models for real-world applications, and deploy AI-driven systems. By the end of this course, you’ll have the expertise to handle complex data science challenges at an enterprise level.

What Will You Learn?

  • Advanced machine learning techniques (Ensemble Learning, Boosting, AutoML)
  • Deep learning architectures (Transformers, GANs, Autoencoders)
  • Reinforcement learning and self-learning AI models
  • Scalable big data processing with Apache Spark and distributed computing
  • Advanced Natural Language Processing (BERT, GPT, Seq2Seq models)
  • Bayesian statistics and probabilistic modeling
  • AI-powered recommendation systems and predictive analytics
  • MLOps: CI/CD for Machine Learning and AI model deployment
  • Cloud-based data science solutions (AWS, Google Cloud, Azure)
  • Ethical AI, bias mitigation, and explainability in AI models

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