• Introduction to AI and ML
  • Introduction to Statistics and Math
  • Data Preprocessing
  • Supervised Learning
  • Unsupervised Learning
  • Introduction to Machine Learning Algorithms
  • Neural Networks Basics
  • Deep Learning Frameworks
  • Convolutional Neural Networks (CNN)
  • Natural Language Processing (NLP)
  • Image Processing/ Computer Vision
  • Reinforcement Learning
  • Model Deployment
  • Advanced Topics