[100% Off] Python For Ai And Machine Learning
Learn Python, Scikit-Learn, TensorFlow and PyTorch from scratch – and build four real AI projects for your portfolio
What you’ll 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
Requirements
- No prior programming or AI/ML experience required – everything is taught from scratch
- A computer with internet access (Windows, macOS or Linux)
- A free Google account for Google Colab, which gives you GPU access at no cost
- Enthusiasm to learn and build real AI/ML projects
Description
No coding experience? Start here.
Artificial intelligence looks impenetrable from the outside: a wall of maths, jargon and frameworks. This course takes you from your very first line of Python to training your own deep learning models, one step at a time, with nothing assumed.
You will begin with Python fundamentals – variables, loops, functions, data structures – then learn to clean, analyse and visualise real data with Pandas, NumPy and Matplotlib. From there you move into machine learning with Scikit-Learn, and on to deep learning with TensorFlow and PyTorch. Everything runs in Google Colab, so you get free GPU access and never have to fight an installation.
The four projects you will build
A crop health predictor that classifies plant condition from field data
An image classifier built with a neural network
An air quality forecaster using time-based data
A custom machine learning application of your own design
Why these projects matter
They are drawn from agriculture, healthcare and environmental science rather than toy datasets, so the work you finish with is something you can show an employer or adapt to your own research.
What you get
Step-by-step lessons that assume no prior programming knowledge
Downloadable notebooks and datasets to follow along with
A finished portfolio of four projects by the end
Q&A support from the instructor throughout
Taught by Dr. Azad Rasul, a geospatial data scientist and Assistant Professor, with over 150,000 students enrolled across his Udemy courses.
Enrol now and write your first AI model this week.
Author(s): Senior Assist Prof Azad Rasul
