Artificial Intelligence & Machine Learning

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Artificial Intelligence & Machine Learning

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About Course

About this Al & ML Course

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries across the globe—from healthcare and finance to transportation and education. 

This course provides a solid foundation in AI and ML concepts and practical applications.

We designed this course for learners with basic programming or mathematics knowledge.

This course takes you through supervised and unsupervised learning, neural networks, deep learning, natural language processing, and real-world AI use cases.

Gain hands-on experience by building ML models using Python and popular libraries like Scikit-learn and TensorFlow. 

You will also learn how to evaluate model performance and apply AI responsibly with ethical considerations in mind.

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What Will You Learn?

  • Machine Learning Algorithms
  • Deep Learning (Neural Networks, CNNs, RNNs)
  • Natural Language Processing (NLP)
  • Model Evaluation & Optimization
  • Python for Data Science (NumPy, Pandas, Scikit-learn)
  • AI Ethics and Bias Mitigation

Course Content

Module 1: Introduction to AI and Machine Learning

  • History and Evolution of AI
  • Types of Machine Learning
  • Applications of AI in Real Life
  • Quiz: AI Fundamentals

Module 2: Supervised and Unsupervised Learning

Module 3: Deep Learning and Neural Networks

Module 4: Natural Language Processing (NLP)

Module 5: Model Evaluation and Optimization

Module 6: Responsible AI and Capstone Project