Object Detection Courses and Certifications

Tech with Tim

OpenCV Python Tutorial - Template Matching - Object Detection

Learn template matching for object detection in OpenCV using Python. Detect a soccer ball in an image, understand matching methods, and visualize results in this hands-on tutorial.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Paul McWhorter

AI on the Jetson Nano - Installing NVIDIA Object Detection and Inference Tools

Learn to install NVIDIA object detection and inference tools on Jetson Nano, enabling sophisticated pretrained networks for object identification and detection in AI applications.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Nvidia

Jetson AI Fundamentals - Training Object Detection Models

Train object detection models with PyTorch on Jetson Nano, collect custom datasets, and create personalized models for real-time detection using SSD MobileNet and Open Images dataset.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Augmented Startups

Train YOLOv7 Object Detection on Custom Dataset in Google Colab

Step-by-step guide to train and deploy YOLOv7 object detection on custom datasets using Google Colab's free GPU. Covers model evaluation and inference on images, videos, and webcam.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Venelin Valkov

Create YOLO Dataset for Custom Object Detection Using OpenCV, PyTorch, and Python Tutorial

Learn to create custom datasets for YOLOv5 object detection, focusing on clothing items in images using OpenCV, PyTorch, and Python. Includes dataset preparation, format conversion, and file structure explanation.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Yannic Kilcher

How to Use Facebook's DETR Object Detection Algorithm in Python - Full Tutorial

Hands-on tutorial implementing Facebook's DETR object detection algorithm in Python, covering model loading, image processing, output handling, and visualization with various test cases.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Introduction to AWS Boto in Python

14 ratings at DataCamp

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deep Learning in Python

Continue your machine learning journey into deep learning. Use the PyTorch library to create neural networks to model different data types.

• DataCamp
• 18 hours
• On-Demand
• Free Trial Available

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

The AI Engineer Path

Build apps powered by generative AI - an essential 2025 skill for product teams at startups, agencies, and large corporations.

• Scrimba
• 11 hours 24 minutes
• On-Demand
• Free Online Course

Building Computer Vision Solutions with Azure

Explore Azure's computer vision tools for text extraction, facial recognition, image classification, and object detection. Learn to design, deploy, and monitor vision-based solutions for real-world applications.

• Udacity
• 28 hours
• On-Demand
• Paid Course

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 21 hours
• On-Demand
• Paid Course

Introduction to TensorFlow Lite

3 ratings at Udacity

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

• Udacity
• 11 hours
• On-Demand
• Free Online Course

Python Machine Learning Advanced

2 ratings at Noble Desktop

Master advanced machine learning through hands-on projects in NLP sentiment analysis, recommendation systems, time series forecasting, CNN image classification, and real-time object detection.

• Noble Desktop
• On-Demand
• $1,895.00

Consistency-Based Semi-Supervised Learning for Object Detection

Explore semi-supervised learning for object detection, focusing on consistency-based approaches. Learn about loss functions, background elimination, and experimental results in this concise presentation.

• YouTube
• 27 minutes
• On-Demand
• Free Video