Python for AI and Machine Learning
Learn Python, Scikit-Learn, TensorFlow and PyTorch from scratch - and build four real AI projects for your portfolio
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Python for AI and Machine Learning is a Development course on Udemy. Learn Python, Scikit-Learn, TensorFlow and PyTorch from scratch - and build four real AI projects for your portfolio The material is organised so learners can progress from the fundamentals to applying what they have learned in realistic scenarios.
Key Skills You Will Learn
- Write Python from scratch - variables, loops, functions and data structures - with no prior programming experience
- Build and evaluate machine learning models with Scikit-Learn, including Random Forest, regression and classification
- Train deep learning models with TensorFlow and PyTorch, and know when to reach for each one
- Clean, analyse and visualise real datasets with Pandas, NumPy and Matplotlib before feeding them to a model
- Complete four portfolio projects: a crop health predictor, an image classifier, an air quality forecaster and your own ML app
- Run your training in the cloud with Google Colab and free GPU access, so no powerful laptop is needed
Who This Course Is For
This course suits learners who want a guided, self-paced path into Development, from complete beginners to practitioners looking to refresh or formalise their knowledge. Check the curriculum and requirements section on Udemy to confirm it matches your current level.
Our Take
If the topic aligns with your goals, this is a convenient way to build skills on your own schedule. Udemy courses include lifetime access to the enrolled content, so you can revisit lessons whenever you need them.
Before you enroll
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- Make sure Udemy shows Free (or $0) at checkout before you complete enrollment.
- Once you enroll with a valid coupon, the course stays in your library with lifetime access.
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