August 2026
Intermediate
4h 15m
English
Closed Captioning available in English
Overview
In this 4-hour course, you will build practical AI and machine learning projects with Python, progressing from data preparation and classical models to deep learning, NLP, and computer vision. Step-by-step examples cover prediction, classification, clustering, image analysis, text classification, reusable pipelines, and YOLO object detection.
What I will be able to do after this course
- Build and evaluate regression and classification models with Python
- Create preprocessing workflows and reusable scikit-learn pipelines
- Train image classification models with TensorFlow, Keras, and ResNet50
- Develop NLP text classification models
- Detect objects in images and videos with YOLO
Course Instructor(s)
Mohammad Azam is a seasoned iOS developer, educator, and founder of AzamSharp School, with over a decade of experience. He has taught more than 80,000 students worldwide and created over 150 hours of iOS development learning content. He is also a developer conference speaker specializing in SwiftUI, app architecture, and machine learning in iOS.
Who is it for?
This course is for beginners, students, Python developers, and web or mobile developers who want project-based experience in AI, machine learning, deep learning, NLP, and computer vision. Basic Python knowledge is recommended; no prior machine learning experience is required.
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