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Course Details


This course introduces you to the world of AI and Machine Learning using hands-on projects and real-world case studies. Whether you're a tech enthusiast or a developer looking to upskill, you’ll learn how machines learn, how to train models, and how to apply AI to solve practical problems.



What You’ll Learn


  • Core concepts of AI & ML

  • Supervised vs. unsupervised learning

  • Train and evaluate ML models

  • Use Python and libraries like Scikit-learn

  • Data preprocessing and visualization

  • Real-world applications in healthcare, finance & more



Course Curriculum


Week 1: Introduction to AI & ML



Week 2: Data Handling & Preprocessing



Week 3: Supervised Learning Algorithms



Week 4: Unsupervised Learning Techniques



Week 5: Model Evaluation & Tuning



Week 6: Python Tools & Libraries



Week 7: Industry Use Cases & Mini Projects



Week 8: Capstone Project & Final Assessment

Instructor Info

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James Carter

He specializes in React, Node.js, and modern JavaScript frameworks, working with top tech companies to build scalable applications and mentor aspiring developers.

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