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Python for AI and Machine Learning: From Beginner to Pro

Last updated on September 1, 2025 12:01 pm
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Description

Lo que aprenderás

  • 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.

Welcome to Python for AI and Machine Learning: From Beginner to Pro, 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!

¿Para quién es este curso?

  • Complete Beginners
  • Aspiring Data Scientists and AI Engineers
  • Professionals in Related Fields
  • Students and Researchers
  • Developers Transitioning to AI/ML

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