TensorFlow Human Detection: Real-Time AI Creation | 2026

About this course

What If Your Computer Could See People — and You Built the System That Makes It Possible?

Not a pre-built app. Not a third-party API. A custom-trained machine learning model that you designed, trained, and deployed yourself — capable of detecting and counting humans in photos, videos, and live webcam feeds in real time.

That is exactly what you will build in this course.

This Is Real AI. Built by You.

Most AI courses teach you to use someone else's model. This course teaches you to build your own — from raw image capture and data annotation all the way to a fully trained, exported, and deployable human detection system powered by TensorFlow.

By the final lecture, you will have a working computer vision project that detects humans in real time — running on your own machine, using a model you trained yourself.

What You Will Build:

A complete Human Detection and Counting System that:

• Detects humans in photos and video files with bounding boxes and confidence scores
• Counts humans live from your system webcam or any external camera
• Runs on a custom-trained TensorFlow model built from your own dataset
• Can be exported to TensorFlow Lite for deployment on mobile or embedded devices

What You Will Learn — Section by Section:

Introduction to AI and Object Detection Understand Artificial Intelligence, Neural Networks, and Object Detection from the ground up. Explore TensorFlow, the Computer Vision library, and real-world applications before writing a single line of code.

Environment Setup — Anaconda, Visual Studio, and Jupyter Notebook Install and configure every tool you need for professional machine learning development. Your environment will be production-ready before the project begins.

Jupyter Notebook Workflow Get comfortable working in Jupyter Notebook — testing cod

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