AI & Machine Learning

Categories: AI, Data, Technology

About Course

Learn the foundations of Artificial Intelligence and Machine Learning with hands-on projects, algorithms, and real industry applications.

What Will You Learn?

  • The fundamentals of Artificial Intelligence and Machine Learning
  • How to use Python, NumPy, Pandas, and data visualization tools
  • How classification and prediction models work
  • The logic behind supervised and unsupervised learning
  • Introduction to neural networks and deep learning
  • How to build, train, and test ML models
  • How to apply ML techniques to real-world problems

Course Content

Introduction to AI & ML
A simple introduction to the world of AI, ML, and real-world applications.

  • What is Artificial Intelligence?
  • AI vs Machine Learning vs Deep Learning
  • Where AI is used today (Practical Applications)

Python Foundations for ML
Learn the essential Python skills required to work with datasets and ML models.

Machine Learning Fundamentals
Understand ML models and how they are built, trained, and evaluated.

Deep Learning Essentials
Introduction to ANN, neural networks, and deep learning concepts.

Projects & Assessment
Apply your knowledge with real-time project work.

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