Artificial Intelligence and Machine Learning Masterclass

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About Course

The course provides a path for students to develop a strong foundation in AI and Machine Learning, covering fundamental concepts, programming skills, and advanced topics. Elective modules offer opportunities for specialization in specific areas of AI/ML.

 

Additional Resources and Activities:

  • Guest lectures from industry experts.
  • Hackathons and AI/ML competitions.
  • Collaboration on open-source AI/ML projects.
  • Machine learning research discussions.

What Will You Learn?

  • Fundamentals of AI and Machine Learning.
  • Python programming for ML.
  • Data preprocessing and cleaning.
  • Supervised and unsupervised learning.
  • Deep learning and neural networks.
  • Natural Language Processing (NLP).
  • Convolutional Neural Networks (CNNs) for image analysis.
  • Recurrent Neural Networks (RNNs) for sequence data.
  • Reinforcement Learning.
  • Model deployment and ethical considerations.
  • Hands-on projects and capstone work.

Course Content

Module 1: Foundations of AI and Machine Learning

  • Introduction to AI and ML
  • Python Programming for ML
  • Data Preprocessing and Cleaning
  • Supervised Learning
  • Unsupervised Learning
  • Feature Engineering and Selection

Module 2: Advanced AI and ML Topics

Elective (Optional):

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