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Python for AI and Machine Learning

4.30
150,000 students
5h 31m
Updated Apr 2026

What you'll learn

Master Python programming for AI and ML applications.
Build machine learning models with Scikit-Learn (e.g., Random Forest).
Develop deep learning models using TensorFlow and PyTorch.
Process and visualize data with Pandas, NumPy, and Matplotlib for AI/ML tasks.

Course Description

Welcome to Python for AI and Machine Learning, the ultimate course to master Python for building cutting-edge artificial intelligence (AI) and machine learning (ML) models! This comprehensive 25+ hour course is crafted for complete beginners and aspiring professionals, requiring no prior coding experience. You’ll progress from Python fundamentals to advanced AI techniques using industry-standard tools like TensorFlow, PyTorch, and Scikit-Learn, guided step-by-step to ensure success.

Through 4+ hands-on projects—including a crop health predictor, image classifier, air quality forecaster, and a custom ML application—you’ll gain practical skills to create a job-ready portfolio. Learn to process and visualize data with Pandas, NumPy, and Matplotlib, and train models in the cloud using Google Colab with GPU support. The course applies AI/ML to real-world challenges in industries like agriculture, healthcare, and environmental science, making it relevant for diverse learners.

Taught by Dr. Azad Rasul, a geospatial data scientist and Assistant Professor with over 150,000 students mentored, this course offers clear explanations, practical projects, and career-focused guidance for high-demand data science and AI roles.

Whether you’re aiming to land a data science job, enhance your current role, or explore AI innovations, this course equips you with the tools and knowledge to succeed. Join a global community of learners and start building impactful AI solutions today!

Requirements

  • No programmingA computer with internet access (Windows, macOS, or Linux).
  • No prior programming or AI/ML experience required—everything is taught from scratch.
  • A Google account for Google Colab (free) and optional GPU access.
  • Enthusiasm to learn and build exciting AI/ML projects. experience needed.
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Python for AI and Machine Learning

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Course Details

  • Level All Levels
  • Lectures 42
  • Duration 5h 31m