Object Detection Courses and Certifications

Packt

Jetson Nano Starter to Pro - A Computer Vision Course

Master computer vision and AI development on NVIDIA Jetson Nano through hands-on projects covering OpenCV, YOLO, TensorRT, and DeepStream for real-time applications.

• Coursera
• 10 hours 21 minutes
• Self-Paced
• Paid Course

Coursera

Annotate and Analyze Objects for Vision

Master quality-controlled annotation processes, bounding box reviews, and dataset consistency checks using IoU-based audits to build reliable vision datasets and configure detection models.

• Coursera
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Packt

YOLO-NAS + v8 Full-Stack Computer Vision Course

Master YOLO-NAS + v8 for object detection, tracking, and deployment across platforms including mobile, web, and edge devices with hands-on projects and real-world applications.

• Coursera
• 12 hours 18 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Packt

Machine Learning – Modern Computer Vision & Generative AI

Master modern computer vision and generative AI techniques, from image classification to Stable Diffusion. Build practical skills in transfer learning, object detection, and AI-driven image generation using KerasCV and Python.

• Coursera
• 9 hours 1 minute
• Self-Paced
• Paid Course

Khalifa University

Deep Learning for Computer Vision: Techniques & Applications

Master deep learning for computer vision using PyTorch—build CNNs, implement VGG, ResNet, YOLO, and U-Net, and tackle object detection and image segmentation with real datasets.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Learning Deep Learning: Unit 3

Explore advanced deep learning with BERT, GPT, multimodal networks, and computer vision tasks like object detection using TensorFlow and PyTorch for real-world applications.

• Coursera
• 6 hours 29 minutes
• Self-Paced
• Paid Course

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

Explore image analysis using Google Cloud Vision API to identify objects, faces, and landmarks through a hands-on lab in the Google Cloud console.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze Video Data Using OpenCV and Python

Master video analytics with OpenCV and Python through hands-on projects covering color models, object detection, tracking algorithms, and real-time motion analysis techniques.

• Coursera
• 7 hours 42 minutes
• Self-Paced
• Paid Course

Coursera

Fine-Tuning and Evaluating Vision AI Models

Master fine-tuning, calibration, and evaluation of vision AI models across classification, detection, and segmentation tasks using transfer learning, AWS pipelines, and post-processing techniques.

• Coursera
• 11 hours 30 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in Computer Vision Engineering

Unlock career opportunities in computer vision by translating technical skills into portfolio artifacts, resume achievements, and confident interview communication for early-career AI engineers.

• Coursera
• 33 minutes
• Self-Paced
• Paid Course

EDUCBA

Build & Deploy Serverless Apps on AWS: Design and Secure

Master serverless architecture on AWS by building secure, scalable applications using Lambda, DynamoDB, Cognito, and API Gateway with hands-on image analysis projects.

• Coursera
• 4 hours 9 minutes
• Self-Paced
• Paid Course

Coursera

Deploy & Evaluate Vision Models Effectively

Master deploying computer vision models from notebooks to production—build inference pipelines, package reproducible APIs, and evaluate performance using precision, recall, and mAP like an MLOps engineer.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Edureka

AutoML: Build ML Models without Code

Master Google Vertex AI's AutoML platform to build, deploy, and monitor ML models for structured data, images, and text without coding through hands-on cloud demonstrations.

• Coursera
• 8 hours 7 minutes
• Self-Paced
• Paid Course

EDUCBA

Master AWS Rekognition: Analyze, Detect, and Automate

Unlock AWS Rekognition's power to analyze images, detect faces/objects, extract text, moderate content, and build automated serverless workflows with Lambda integration.

• Coursera
• 6 hours 22 minutes
• Self-Paced
• Paid Course