Course Program

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#1Foundations of AI and Machine Learning
  • Introduction to AI and Machine Learning---
  • History and Evolution---
  • Core Concepts of ML Models---
#2Key Algorithms and Their Applications
  • Supervised Learning---
  • Unsupervised Learning---
  • Reinforcement Learning---
  • Neural Networks---
#3Practical AI and ML
  • Data Preprocessing Techniques---
  • Deployment and Real-World Uses---
  • Ethics in AI---